Hi! I am a first-year Ph.D. student in Statistics at the University of Toronto. I am very fortunate to be advised by Prof. Wenlong Mou and Prof. Xin Bing. I am also affiliated with the Vector Institute. Prior to my Ph.D. study, I received my B.S. in Statistics from Nanjing University in 2024.
My research primarily focuses on the intersection of machine learning theory, statistics, and optimization. Currently, I work on Reinforcement Learning and Mean-Field Langevin Dynamics.
Email: muheng [DOT] li [AT] mail [DOT] utoronto [DOT] ca
News
- 2025.02: 1 paper was accepted by TMLR.
Publications
- Reheated Gradient-based Discrete Sampling for Combinatorial Optimization
Transactions on Machine Learning Research (TMLR), 2025
Muheng Li, Ruqi Zhang
arXiv:2503.04047
Services
- Conference Reviewer: UAI(2024)
Teaching
- STA255:Statistical Theory(Winter 2025), Tutorial Teaching Assistant.