Jiaxin Qiu

About

Welcome! I am Jiaxin Qiu (邱佳鑫 in Chinese), a Postdoctoral Fellow (Mentor: Prof. Zhigang Bao) in the Department of Mathematics at the University of Hong Kong. In 2024, I completed my Ph.D. in Statistics at the University of Hong Kong's Department of Statistics and Acturial Science, under the supervision of Prof. Jeff Yao (CUHK-SZ) and Prof. Zeng Li (SUSTech). Before coming to HKU, I recieved a B.Sc. in Mathematics (2018) form the Southern University of Science and Technology and a M.Sc. in Statistics (2020) from Harbin Institute of Technology. My research focuses on random matrix theory (RMT) and high-dimensional statistics (HDS). I am particularly interested in the theoretical foundations and applications of RMT, especially in contexts involving large-scale data. My work aims to develop methodologies that enhance our understanding and handling of HDS problems, with applications spanning various complex systems and data structures. (Personal Website: https://jxqiu77.github.io)

Work

University of Hong Kong

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Postdoctoral Fellows

Hong Kong

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Chinese University of Hong Kong, Shenzhen

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Research Associate

China

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Education

The University of Hong Kong

China
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Ph.D. in Statistics

Harbin Institute of Technology

China
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Master in Statistics

Southern University of Science and Technology

China
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Bachelor in Mathematics

Publications

Robust estimation for number of factors in high dimensional factor modeling via Spearman correlation matrix

Journal of the American Statistical Association

journal-article

On eigenvalues of sample covariance matrices based on high dimensional compositional data

preprint

On singular values of large dimensional lag-τ sample auto-correlation matrices

Journal of Multivariate Analysis

journal-article

Asymptotic normality for eigenvalue statistics of a general sample covariance matrix when p/n→∞ and applications

The Annals of Statistics

journal-article