Zhipeng Lou - Home page

Address: Department of Statistics University of Pittsburgh, PA 15260 Pittsburgh, PA 15260 Office: WWPH1817 Email: zhl318@pitt.edu CV

Employment

• Assistant Professor, Department of Statistics, University of Pittsburgh, PA, USA, 2023 – present.
  

• Post-Doctoral Associate, Princeton University, NJ, USA, 2020 – 2023.
  Advisor: Jianqing Fan

Education

• Ph.D. in Statistics, University of Chicago, IL, USA, 2015 – 2020.
  Advisor: Wei Biao Wu

Research Interests

Statistical learning, ranking inference, high-dimensional statistical testing, robust inference, time series analysis, functional data analysis, survival analysis.

Publications and Preprints

• Robust High-Dimensional Tuning Free Multiple Testing
  Jianqing Fan, Zhipeng Lou and Mengxin Yu.
  Annals of Statistics, Accepted, 2023.

• Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent
  Zhipeng Lou, Wanrong Zhu and Wei Biao Wu. Journal of Machine Learning Research, 23(46):1−22, 2022.

• Are Principal Component Regression and Sparse Regression Adequate?
  Jianqing Fan, Zhipeng Lou and Mengxin Yu. Journal of the American Statistical Association, in press, 2023.

• High-Dimensional Analysis of Variance in Multivariate Linear Regression
  Zhipeng Lou, Xianyang Zhang and Wei Biao Wu.
  Biometrika, 110(3): 777-797, 2023.

• Ranking Inferences Based on the Top Choices of Multiway Comparisons
  Jianqing Fan, Zhipeng Lou, Weichen Wang and Mengxin Yu.
  Journal of the American Statistical Association, minor revision, 2023.

• Communication-Efficient Distributed Estimation and Inference for Cox's Model
  Jianqing Fan, Pierre Bayle and Zhipeng Lou.
  Journal of the American Statistical Association, major revision, 2023.

• Spectral Ranking Inferences based on General Multiway Comparisons
  Jianqing Fan, Zhipeng Lou, Weichen Wang and Mengxin Yu.
  Operations Research, under review, 2023.

• Asymptotic Theory for Constant Step Size Stochastic Gradient Descent
  Jiaqi Li, Zhipeng Lou, Stefan Richter and Wei Biao Wu.
  IEEE Transactions on Information Theory, under review, 2023.

• Hypothesis Testing for High-Dimensional Data.
  Wei Biao Wu, Zhipeng Lou and Yuefeng Han.
  Handbook of Big Data Analytics, Springer, 2018.

• Simultaneous Inference for Mean Curves of Functional and Longitudinal Data: A Unified Theory.
  Zhipeng Lou and Wei Biao Wu.
  Statistica Sinica, major revision, 2022.

• Simultaneous Inference of Quantiles in High Dimensions.
  Zhipeng Lou and Wei Biao Wu.
  Sankhya B, invited session, 2023.

• Portmanteau Test for High Dimensional White Noises.
  Zhipeng Lou and Wei Biao Wu.
  Bernoulli, under review, 2023.