My research interests are in statistical machine learning, deep learning theory, high-dimensional statistics, privacy-preserving data analysis, optimization, and large-scale multiple testing.


  • Federated f-Differential Privacy
    Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie Su. International Conference on Artificial Intelligence and Statistics (AISTATS), 130, 2251–2259, 2021.

  • Gaussian Differential Privacy
    Jinshuo Dong, Aaron Roth, and Weijie Su. Journal of the Royal Statistical Society: Series B (Statistical Methodology) (discussion paper), to appear, 2021.

  • Assumption Lean Regression
    Richard Berk, Andreas Buja, Lawrence Brown, Edward George, Arun Kuchibhotla, Weijie Su, and Linda Zhao. The American Statistician, 75(1), 76–84, 2021.