Supported by the National Natural Science Foundation of China general program; Area Chair for AISTATS 2026, ICLR 2026, NeurIPS 2025, IJCNN 2025, ICML 2025; Co-organizer of the Special Session on “Large-Dimensional Structures and Methods for Signal Processing, Communication, and Machine Learning” at ICASSP 2026; Publications in ICML 2025, ICLR'2025, EUSIPCO'2024; Associate Editor for Springer Statistics and Computing.
Research Experience
Currently an Associate Professor in the School of Electronic Information and Communications (EIC), Huazhong University of Science & Technology (HUST), China; Previously a Postdoctoral Fellow at the University of California, Berkeley.
Education
Ph.D. from CentraleSupélec, University Paris-Saclay, France in 2019, under the supervision of Romain Couillet and Yacine Chitour; Postdoctoral Fellow at the Department of Statistics and International Computer Science Institute (ICSI) of University of California, Berkeley, hosted by Michael Mahoney.
Background
Research interests: statistical and computational aspects of machine learning, signal processing, and data science, particularly high-dimensional statistics and random matrix theory, as well as their interactions with (deep or not so deep) neural networks.
Miscellany
Headshot and short bio in Chinese available via provided links; Monthly online seminar on Random Matrix Theory and Applications on behalf of the Chinese Association of Random Matrix Theory; Erdős number is 4.