Muheng Li
Scholar

Muheng Li

Google Scholar ID: wkwU1r8AAAAJ
PhD student, Department of Statistical Sciences, University of Toronto
Machine LearningStatisticsOptimization
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
2
 
H-index
1
 
i10-index
0
 
Publications
2
 
Co-authors
0
 
Contact
Emailmuheng.li@mail.utoronto.caCVOpen ↗GitHubOpen ↗
Publications
2 items
What should post-training optimize? A test-time scaling law perspective
2026
Cited
0
Predicting and improving test-time scaling laws via reward tail-guided search
2026
Cited
0
Resume
Academic Achievements
  • One paper accepted by TMLR; served as a Conference Reviewer for UAI(2024).
Research Experience
  • Served as a Tutorial Teaching Assistant for STA255: Statistical Theory (Winter 2025); worked on Reheated Gradient-based Discrete Sampling for Combinatorial Optimization.
Education
  • Received B.S. in Statistics from Nanjing University in 2024; currently a Ph.D. student in DOSS, UofT, advised by Prof. Wenlong Mou and Prof. Xin Bing, and affiliated with the Vector Institute.
Background
  • Ph.D. student in Statistics at the University of Toronto, focusing on the intersection of machine learning theory, statistics, and optimization. Current research areas include Reinforcement Learning and Mean-Field Langevin Dynamics.