Students & collaborators
People
I have been very fortunate to work with amazing students and collaborators. We look forward to having more talented students join us.
PhD students
Xiangrui Kong
Tianze Wang
Yulin Li
Zihan Dong
Ruoxuan Zhang
Zhixian Zhang
Yukun Dong
Zhiqiu Xia
PhD alumni
Zhe Zhang
Graduated in 2023
Placement: Microsoft
Xiaotian Hou
Graduated in 2025
Placement: Postdoc at UPenn
Ryumei Nakada
Graduated in 2025
Placement: Postdoc at Harvard
Undergraduate & master’s research interns
Yinpeng Cai
(Peking University) (06/2024-10/2024)
Publication: A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models
Placement: Harvard Statistics PhD
Zhekun Shi
(Peking University) (06/2024-10/2024)
Placement: Princeton ORFE PhD
Lujing Zhang
(Peking University) (06/2023-10/2023)
Publication: Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks (ICML 2024)
Placement: CMU Statistics PhD
Qichuan Yin
(Peking University) (06/2023-10/2023)
Publication: Distribution-Free Fair Federated Learning with Small Samples
Placement: U. Chicago Statistics PhD
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)
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 (JMLR 2023)
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