Jiaxin Qiu (邱佳鑫)

😀 About Me

Hi! 👋 I am currently a Postdoctoral Fellow in the Department of Mathematics at the University of Hong Kong, where I am mentored by Zhigang Bao.

🧐 Research Interests

• Random Matrix Theory
• High-dimensional Statistics

🏫 Education

• Ph.D. in Statistics, The University of Hong Kong, 2020 - 2024
  • Supervisors: Jianfeng (Jeff) Yao (CUHK-SZ) and Zeng Li (SUSTech)
• M.Sc. in Statistics, Harbin Institute of Technology, 2018 - 2020
  • Supervisor: Guoliang Tian
• B.Sc. in Mathematics, Southern University of Science and Technology, 2014 - 2018

📝 Publications

[* = corresponding author, † = equal contribution, α-β: alphabetical order]

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

• 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. Link PDF

• 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. Link PDF

🏗️ Preprints

[The preprints on this website may be more up-to-date than their arXiv versions.]

• Zhigang Bao, Kha Man Cheong, Yuji Li, Jiaxin Qiu (α-β) (2026). A spectral approach for online covariance change point detection. Submitted. arXiv PDF Code

• Qianqian Jiang†, Jiaxin Qiu†, Zeng Li* (2023). On eigenvalues of sample covariance matrices based on high-dimensional compositional data. Submitted. arXiv PDF

• Jiaxin Qiu, Zeng Li*, Jianfeng Yao (2026). On spiked eigenvalues of general sample covariance matrices under extreme aspect ratio. Working Paper.

😴 Teaching Assistant

• @HKU
  • STAT6010/7610: Advanced Probability (Fall 2023)
  • STAT2601: Probability and Statistics (Spring 2021, Spring 2024)
• @SUSTech
  • STA5001: High Dimensional Statistics (Spring 2022, Spring 2023)
  • MA308: Statistical Computation and Software (Fall 2020)
  • MAT7102/MA412: Selected Research Topics in Statistics (Spring 2020)
  • MA103A: Linear Algebra A (Fall 2018, Fall 2019)

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