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研究領域：

• Random Matrix Theory

• High dimensional Statistics

• Time Series Analysis

• Machine Learning

工作經歷:

2021/01 - 至今 南方科技大學 統計與數據科學系 副教授

2019/08 - 2020/12 南方科技大學 統計與數據科學系 助理教授

2017/10 - 2019/08 賓州州立大學 統計系 博士后

2017/04 – 2017/08 華盛頓大學 統計系 研究助理

教育背景:

2012/09 - 2017/04   香港大學  統計與精算學系  統計學博士

2009/09 - 2012/06   中國人民大學  統計學院  數理統計碩士

2005/09 - 2009/06   北京師范大學  數學科學學院  理學學士

發表論文：

1. Xiaoling Wu, Junpeng Zhu, Zeng Li*, (2025). Weight matrices compression based on PDB model in deep neural networks, International Conference on Machine Learning (ICML), July 2025. 
   

2. Qianqian Jiang, Wenbo Li, Zeng Li*, (2025). On testing mean of high dimensinal compositional data, Statistics and Probability Letters, 222, 110396.
   

3. Jiaxin Qiu, Zeng Li*, Jianfeng Yao, (2025). Robust estimation for number of factors in high dimensional factor modeling via Spearman correlation matrix,  Journal of the American Statistical Association, 120(550), 1139-1151.

4. 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.

5. 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.

6. 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.

7. 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.

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

9. Zeng Li, Qinwen Wang*, Runze Li (2021). CLT for linear spectral statistics of large dimensional Kendall rank correlation matrices,  The Annals of Statistics, 49(3), 1569-1593.

10. 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.

11. 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.

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

13. 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.

14. 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.

15. 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.

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

17. 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.