Biography
Lei Feng is currently an Assistant Professor at the Information Systems Technology and Design Pillar, Singapore University of Technology and Design. He received his PhD degree from Nanyang Technological University, Singapore. His research interest mainly lies in machine learning, with a particular emphasis on trustworthy machine learning and foundation models. He has published over 80 papers at premier conferences and journals, including ICML, NeurIPS, ICLR, CVPR, ICCV, AAAI, IJCAI, AISTATS, TPAMI, TKDE. He received ICLR 2022 Outstanding Paper Award Honorable Mention and he was named to Forbes 30 Under 30 China 2021 and Forbes 30 Under 30 Asia 2022.
Open Positions
PhD Students with applicable scholarships/fellowships:
- SUTD PhD Fellowship
- AISG PhD Fellowship
- A*STAR Graduate Scholarship
- A*STAR Computing and Information Science (ACIS) Scholarship
- Singapore International Graduate Award (SINGA)
- SUTD-DSO Graduate Fellowship (for Singapore citizens only)
- EDB-IPP Scholarship (for company employees only)
Postdoctoral Research Fellows: only available after July 2025
Visiting PhD Students & Research Assistants:
- CSC Visiting PhD Students (all the time)
- Onsite Research Assistants (with salary)
- Remote Research Assistants (without salary)
Recent & Selected Publications
- Zixi Wei, Yuzhou Cao, Lei Feng.
Exploiting Human-AI Dependence for Learning to Defer.
Proceedings of the 41st International Conference on Machine Learning (ICML’24), accepted, 2024. - Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei.
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss.
Proceedings of the 41st International Conference on Machine Learning (ICML’24), accepted, 2024. - Jiahan Zhang, Qi Wei, Feng Liu, Lei Feng.
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data.
Proceedings of the 41st International Conference on Machine Learning (ICML’24), accepted, 2024. (Oral, Acceptance Rate: 1.52%) - Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj.
A General Framework for Learning from Weak Supervision.
Proceedings of the 41st International Conference on Machine Learning (ICML’24), accepted, 2024. - Jinhao Li, Haopeng Li, Sarah Monazam Erfani, Lei Feng, James Bailey, Feng Liu.
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models.
Proceedings of the 41st International Conference on Machine Learning (ICML’24), accepted, 2024. - Changchun Li, Yuanchao Dai, Lei Feng, Ximing Li, Bing Wang, Jihong Ouyang.
Positive and Unlabeled Learning with Controlled Probability Boundary Fence.
Proceedings of the 41st International Conference on Machine Learning (ICML’24), accepted, 2024. - Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu.
Sample-Specific Masks for Visual Reprogramming-based Prompting.
Proceedings of the 41st International Conference on Machine Learning (ICML’24), accepted, 2024. (Spotlight, Acceptance Rate: 3.54%) - Yuzhou Cao, Lei Feng, Bo An.
Consistent Hierarchical Classification with A Generalized Metric.
Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS’24), pp. 4825-4833, 2024. - Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An.
Mitigating Underfitting in Learning to Defer with Consistent Losses.
Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS’24), pp. 4816-4824, 2024. - Suqin Yuan, Lei Feng, Tongliang Liu.
Early Stopping Against Label Noise Without Validation Data.
Proceedings of the 12th International Conference on Learning Representations (ICLR’24), 2024. - Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng.
Consistent Multi-Class Classification from Multiple Unlabeled Datasets.
Proceedings of the 12th International Conference on Learning Representations (ICLR’24), 2024. (Spotlight, Acceptance Rate: 5.01%) - Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng.
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks.
Proceedings of the 12th International Conference on Learning Representations (ICLR’24), 2024. - Shuo He, Chaojie Wang, Guowu Yang, Lei Feng.
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning.
Proceedings of the 12th International Conference on Learning Representations (ICLR’24), 2024. (Oral, Acceptance Rate: 1.16%)
Honors & Awards
- [2024] WAIC 2024 Youth Outstanding Paper Nomination Award.
- [2022] Forbes 30 Under 30 Asia.
- [2022] Champion in the Learning and Mining with Noisy Labels Challenge at IJCAI-ECAI 2022.
- [2022] Chongqing Youth Pioneer in Science and Technology Innovation.
- [2022] ICLR 2022 Outstanding Paper Award Honorable Mention.
- [2021] Forbes 30 Under 30 China.
- [2021] NTU SCSE Outstanding PhD Thesis Award Runner-up (in the situation of early graduation).