pp体育

pp体育
pp体育

李赛 副教授

研究方向:高维统计方法、机器学习与人工智能的统计学基础、因果推断。

pp体育 地址: 清华大学自强科技楼4号楼(吕大龙楼)811


pp体育 邮箱: [email protected]


职称 副教授 地址 清华大学自强科技楼4号楼(吕大龙楼)811
电话 邮箱 [email protected]
开设课程 个人主页 //saili0103.github.io

欢迎感兴趣的本科生申请本人研究生,欢迎感兴趣的博士生邮件联系本人咨询博士后岗位信息。


Background

  • 罗格斯新泽西州立大学大学统计系博士

  • 宾夕法尼亚大学生物统计系和沃顿商学院统计系博士后

  • 中国人民大学统计与大数据研究院助理教授(2021-2022)

  • 中国人民大学统计与大数据研究院副教授(2022至2025)

  • pp体育-pp体育直播 副教授(2025-至今)

Publications:

Sai Li and Linjun Zhang. Multi-dimensional domain generalization with low-rank structures. Journal of the American Statistical Association(accepted). 2025.

Sai Li and Ting Ye. A Focusing Framework for Testing Bi-Directional Causal Effects with GWAS Summary Data. Journal of the Royal Statistical Society: Series B. 87(2), 529-548. 2025.

Jianqiao Wang, Sai Li, and Hongzhe Li. A unified approach to robust inference for genetic covariance. Journal of the American Statistical Association. 119(548): 2585-2597, 2024.

Sai Li, Yisha Yao, and Cun-Hui Zhang. Comment: A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models. Journal of the American Statistical Association. 118(543), 1586–1589, 2023.

Sai Li, Linjun Zhang, T. Tony Cai, and Hongzhe Li. Estimation and inference in high-dimensional GLMs with transfer learning. Journal of the American Statistical Association. 119(546), 1274–1285, 2023.

Sai Li, Tianxi Cai, and Rui Duan. Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach. Annals of Applied Statistics. 17(4): 2970-2992, 2023.

Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, and Chelsea Finn. Improving out-of-distribution robustness via selective augmentation. International Conference of Machine Learning. PMLR 162:25407-25437, 2022.

Sai Li, T. Tony Cai, and Hongzhe Li. Transfer learning in large-scale graphical models with false discovery rate control. Journal of the American Statistical Association. 118(543), 2171–2183, 2022.

Sai Li, T. Tony Cai, and Hongzhe Li. Transfer learning for high-dimensional linear regression: Prediction, estimation, and minimax optimality. Journal of the Royal Statistical Society: Series B.84: 149–173, 2022.

Sai Li, T. Tony Cai, and Hongzhe Li. Inference for high-dimensional linear mixed-effects models: A quasi-likelihood approach. Journal of the American Statistical Association. 117(540): 1835-1846, 2022.

Sai Li. Debiasing the debiased Lasso with bootstrap. Electronic Journal of Statistics, 14(1): 2298-2337, 2020.

Sai Li, Ritwik Mitra, and Cun-Hui Zhang. Comment: An adaptive resampling test for detecting the presence of significant predictors. Journal of the American Statistical Association. 110(512): 1455-1456, 2016.