I have been very fortunate to work with amazing students and collaborators. We look forward to having more talented students joining us. If you are interested, please send me an email with your CV.
Current PhD students
- Zhe Zhang (Graduate in 2023)
Placement: Microsoft - Xiaotian Hou
- Ryumei Nakada
- Xiangrui Kong
- Tianze Wang
Undergraduate/Master Research Interns
- Puheng Li (Peking University) (06/2022-10/2022)
Publication: FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee (ICLR 2023)
Placement: Stanford Statistics PhD - Haotian Ye (Peking University) (06/2022-09/2022)
Publication: Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise (AISTATS 2023)
Placement: Stanford CS PhD - Yiping Wang (Zhejiang University) (02/2022-07/2022)
Publication: C-Mixup: Improving Generalization in Regression (NeurIPS 2022)
Placement: U. Washington CS PhD - Wenlong Ji (Peking University) (06/2021-10/2021)
Publication: The Power of Contrast for Feature Learning: A Theoretical Analysis (under review)
Placement: Stanford Statistics PhD - Tianze Wang (Rutgers University) (10/2021-05/2022)
Placement: Rutgers Statistics PhD - Mengyue Liu (Rutgers University) (07/2020-08/2020)
Placement: Senior Data Analyst at Capital One