Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship
Profile
Asst Prof Tan Minh NGUYEN
Collaborator
Tan Minh Nguyen is currently an Assistant Professor of Mathematics (Presidential Young Professor) at the National University of Singapore (NUS). Before joining NUS, he was a postdoctoral scholar in the Department of Mathematics at the University of California, Los Angeles, working with Dr Stanley J. Osher. He obtained his Ph.D. in Machine Learning from Rice University, where he was advised by Dr Richard G. Baraniuk. He gave an invited talk in the Deep Learning Theory Workshop at NeurIPS 2018 and organized the 1st Workshop on Integration of Deep Neural Models and Differential Equations at ICLR 2020. He also had two long internships with Amazon AI and NVIDIA Research, during which he worked with Dr Anima Anandkumar. He is the recipient of the prestigious Computing Innovation Postdoctoral Fellowship (CIFellows) from the Computing Research Association (CRA), the NSF Graduate Research Fellowship, and the IGERT Neuroengineering Traineeship. He received his M.S. and B.S. in Electrical and Computer Engineering from Rice in May 2018 and May 2014, respectively.
Singapore - NUS
Collaborators
BloodCounts!
Key Publications
Google Scholar Link
Thieu N. Vo, Duy-Tung Pham, Xin T. Tong, Tan M. Nguyen. “Demystifying the Token Dynamics of Deep Selective State Space Models”. International Conference on Learning Representations (ICLR), 2025 (spotlight, top 5.1% of the submitted papers, journal-quality, acceptance rate: 32.08%).
Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan M. Nguyen. “Distance-Based Tree-Sliced Wasserstein Distance”. International Conference on Learning Representations (ICLR), 2025 (journal-quality, acceptance rate: 32.08%).
Rachel S.Y. Teo, Tan M. Nguyen. “MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts”. Conference on Neural Information Processing Systems (NeurIPS), 2024 (journal-quality, acceptance rate: 25.8%).
Tan M. Nguyen, Tam Nguyen, Nhat Ho, Andrea Bertozzi, Richard G. Baraniuk, Stanley J. Osher. “A Primal-Dual Framework for Transformers and Neural Networks”. International Conference on Learning Representations (ICLR), 2023 (notable-top25%, journal-quality, acceptance rate: 32.0%).
Bao Wang*, Tan M. Nguyen*, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher.“Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent”. SIAM Journal on Imaging Sciences, 2022. (*: co-first authors)
Achievements
2024 – 2027 NUS Presidential Young Professorship
2020 – 2023 Computing Innovation Postdoctoral Fellowship (CIFellows)
2022 J. Tinsley Oden Visiting Fellowship
2018 AWS Cloud Credits for Research, $50,000
2016 – 2020 NSF Graduate Research Fellowship
2016 Ford Foundation Fellowship Honorable Mention
2015 – 2017 Neuroengineering IGERT: From Cells to Systems Fellowship