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研究領(lǐng)域：

• Random Matrix Theory

• High dimensional Statistics

• Time Series Analysis

• Machine Learning

工作經(jīng)歷:

2021/01 - 至今 南方科技大學(xué) 統(tǒng)計(jì)與數(shù)據(jù)科學(xué)系 副教授

2019/08 - 2020/12 南方科技大學(xué) 統(tǒng)計(jì)與數(shù)據(jù)科學(xué)系 助理教授

2017/10 - 2019/08 賓州州立大學(xué) 統(tǒng)計(jì)系 博士后

2017/04 – 2017/08 華盛頓大學(xué) 統(tǒng)計(jì)系 研究助理

教育背景:

2012/09 - 2017/04   香港大學(xué)  統(tǒng)計(jì)與精算學(xué)系  統(tǒng)計(jì)學(xué)博士

2009/09 - 2012/06   中國(guó)人民大學(xué)  統(tǒng)計(jì)學(xué)院  數(shù)理統(tǒng)計(jì)碩士

2005/09 - 2009/06   北京師范大學(xué)  數(shù)學(xué)科學(xué)學(xué)院  理學(xué)學(xué)士

發(fā)表論文：

1. Jiaxin Qiu, Zeng Li*, Jianfeng Yao, (2024). Robust estimation for number of factors in high dimensional factor modeling via Spearman correlation matrix,  Journal of the American Statistical Association, to appear.
   

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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

9. 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.

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

11. 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.

12. 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.

13. 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.

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

15. 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.