Profile
Prof Hui JI
Principal Investigator
Hui Ji is a Professor at the Department of Mathematics in the National University of Singapore (NUS). He also serves as the Director of the Centre for Data Science and Machine Learning, NUS.
His long time research program can be roughly classified into the following sub-programs with close relationship.
1. Mathematical theory and tools for data sciences
2. Machine learning and its applications in robotics and medicine
3. Computational vision and image processing
matjh@nus.edu.sg
Singapore - NUS
Principal Investigators
BloodCounts!
Research Interest
Key Publications
Google Scholar Link
Y. Quan, T. Zheng, and H. Ji, Pseudo-Siamese directional transformers for Self-supervised real-world denoising, Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
Quan, X. Qin, T. Pang, and H. Ji, Siamese cooperative learning for unsupervised image reconstruction from incomplete measurements, IEEE Transactions on Pattern Recognition and Machine Intelligence (TPAMI), 2024
X. Qin, Y. Quan, T. Pang, and H. Ji, Ground-truth free meta-learning for deep compressive sampling, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
W. Wang, J. Li and H. Ji, Self-supervised deep image restoration via adaptive stochastic gradient Langevin dynamics, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
T. Pang, H. Zheng, Y. Quan, and H. Ji, Recorrupted-to-Recorrupted: Unsupervised deep learning for image denoising, The Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Internal Comments Only
Achievements
2015– 2018: Dean’s Chair Associate Professorship, NUS
2010: Young Scientist Award, Faculty of Science, NUS