Yiyuan She, Ph. D.
▎Professor of Mathematics
▎High-Dimensional Statistical Learning and Data Science
◢ Email：sheyiyuan@westlake.edu.cn
Discovering order within uncertainty.
Biography
Yiyuan She earned his Ph.D. in Statistics from Stanford University in 2008, after receiving his Bachelor's and Master's degrees from Peking University. He then joined the Department of Statistics at Florida State University. Dr. She is a recipient of the NSF CAREER Award, a Fellow of the American Statistical Association, a Fellow of the Institute of Mathematical Statistics, and an Elected Member of the International Statistical Institute. He joined the Institute for Theoretical Sciences at Westlake University in May 2025.
Research
Professor Yiyuan She's primary research areas include high-dimensional statistics, machine learning, optimization, robust statistics, and big data analysis. His work spans theory, methodology, computation, and applications, with a primary focus on statistics and links to related disciplines.
Representative Publications
1) Yiyuan She, Sparse Regression with Exact Clustering, Electronic Journal of Statistics, Vol. 4, pp. 1055-1096, 2010.
2) Yiyuan She and Art Owen, Outlier Detection Using Nonconvex Penalized Regression, Journal of the American Statistical Association, Vol. 106, No. 494, pp. 626-639, 2011.
3) Florentina Bunea, Yiyuan She, and Marten Wegkamp, Optimal Selection of Reduced Rank Estimators of High-dimensional Matrices, Annals of Statistics, Vol. 39, No. 2, pp. 1282-1309, 2011.
4) Yiyuan She, An Iterative Algorithm for Fitting Nonconvex Penalized Generalized Linear Models with Grouped Predictors, Computational Statistics and Data Analysis, Vol. 56, pp. 2976-2990, 2012.
5) Yiyuan She, Shijie Li, and Dapeng Wu, Robust Orthogonal Complement Principal Component Analysis, Journal of the American Statistical Association, Vol. 111, 763-771, 2016.
6) Yiyuan She, Selective Factor Extraction in High Dimensions, Biometrika, Vol. 104, 97-110, 2017.
7) Yiyuan She, Zhifeng Wang, and He Jiang, Group Regularized Estimation under Structural Hierarchy, Journal of the American Statistical Association, Vol. 113, 445-454, 2018.
8) Yiyuan She and Hoang Tran, On Cross-validation for Sparse Reduced Rank Regression, Journal of the Royal Statistical Society: Series B, Vol. 81, 145-161, 2019.
9) Yiyuan She, Zhifeng Wang, Jiuwu Jin, Analysis of Generalized Bregman Surrogate Algorithms for Nonsmooth Nonconvex Statistical Learning, Annals of Statistics, Vol. 49, no. 6, 3434-3459, 2021.
10) Yiyuan She, Zhifeng Wang, Jiahui Shen, Gaining Outlier Resistance with Progressive Quantiles: Fast Algorithms and Theoretical Studies, Journal of the American Statistical Association, Vol. 117, 1282-1295, 2022.
Contact Information
Email：sheyiyuan@westlake.edu.cn
