Research Interest：

• Random Matrix Theory

• High dimensional Statistics

• Time Series Analysis

• Machine Learning

Professional Experience:

Jan 2021-present, Department of Statistics and Data Science, Southern University of Science and Technology, Associate Professor

Aug 2019-Dec 2020, Department of Statistics and Data Science, Southern University of Science and Technology, Assistant Professor

Oct 2017-Aug 2019, Department of Statistics, Pennsylvania State University Eberly Postdoc Fellow, mentor: Prof. Runze Li

Apr 2017-Aug 2017, Department of Statistics, University of Washington, Seattle,Research Assistant, mentor: Dr. Fang Han

Sep 2012- Mar 2017, Department of Statistics and Actuarial Science, HKU, Teaching Assistant

Educational Background:

Apr 2017, The Unviersity of Hong Kong (HKU), Ph.D., Department of Statistics and Actuarial Science Advisor: Prof. Jianfeng Yao

Sep 2012, Renmin University of China, Beijing (RUC) M.Sc., School of Statistics

Sep 2009, Beijing Normal University, Beijing (BNU), B.Sc., School of Mathematical Science

Awards and Honors:

Sep 2012- Mar 2017, Department of Statistics And Actuarial Science, HKU Excellent Teaching Assistant Award (5 times)

Academic Services:

Referee Service. Annals of Statistics, JASA, Journal of the Royal Statistical Society: Series B, Biometrika, IEEE Transactions on information theory, IEEE Transactions on Signal Processing, Journal of Multivariate Analysis, IISE Transactions

Selected Publications:

1. Zeng Li, Cheng Wang*, Qinwen Wang (2023). On eigenvalues of a high-dimensional Kendall's rank correlation matrix with dependence. Science China Mathematics, 66, 2615-2640.

2. Xuanzhe Xiao, Zeng Li*, Chuanlong Xie, Fengwei Zhou (2023).  Heavy-tailed regularization of weight matrices in deep neural networks. 32nd International Conferences on Artificial Neural Networks (ICANN), Sep 2023.

3. Jiaxin Qiu, Zeng Li*, Jianfeng Yao (2023). Asymptotic normality for eigenvalue statistics of a general sample covariance matrix when p/n-> infinity and applications. The Annals of Statistics, 51(3), 1427-1451.

4. Zhanting Long, Zeng Li*, Ruitao Lin, Jiaxin Qiu (2023). On singular values of large dimensional lag-tau sample auto-correlation matrices. Journal of Multivariate Analysis, 197, 105205.

5. Zhehan Kan, Shuoshuo Chen, Zeng Li, Zhihai He* (2022). Self-supervised Reciprocal Learning and Optimization of Structural Groups for Human Pose Estimation, Proceedings of the 17th European Conference on Computer Vision (ECCV), 2022.

6. Zeng Li, Qinwen Wang*, Runze Li (2021). Central limit theorem for linear spectral statistics of large dimensional Kendall's rank correlation matrices and its applications, The Annals of Statistics, 49(3), 1569-1593.

7. Zeng Li, Qinwen Wang*, Chuanlong Xie, (2021). Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-norm Least Squares Estimator, in International Conference on Machine Learning (ICML), May 2021

8. Zeng Li, Fang Han*, Jianfeng Yao (2020). Asymptotic joint distribution of extreme eigenvalues and trace of large sample covariance matrix in a generalized spiked population model, The Annals of Statistics, 48(6), 3138-3160.

9. Zeng Li, Jianfeng Yao*, Clifford Lam, Qiwei Yao (2019). On testing for high-dimensional white noise, The Annals of Statistics, 47(6), 3382-3412.

10. Weiming Li, Zeng Li, Jianfeng Yao* (2018). Joint CLT for linear spectral statistics of dependent large dimensional sample covariance matrices, Scandinavian Journal of Statistics, 45(3), 699-728.

11. Zeng Li, Qinwen Wang, Jianfeng Yao* (2017). Identifying number of factors from singular values of lagged sample auto-covariance matrix, The Annals of Statistics, 45(1), 257-288.

12. Zeng Li*, Jianfeng Yao (2016). Testing the sphericity of a covariance matrix when the dimension is much larger than the sample size, Electronic Journal of Statistics, 10(2), 2973-3010.

13. Zeng Li, Guangming Pan, Jianfeng Yao* (2015). On singular value distribution of large-dimensional auto-covariance matrices, Journal of Multivariate Analysis, 137, 119-140.

14. Chao Yu, Yue Fang*, Zeng Li, Bo Zhang, Xujie Zhao (2014). Nonparametric estimation of high frequency spot volatility for Brownian semimartingale with jumps, Journal of Time Series Analysis, 35(6), 572-591.