Youbang Sun
Scholar

Youbang Sun

Google Scholar ID: gCToDVQAAAAJ
Assistant Researcher, Tsinghua University; Northeastern University; Texas A&M University
Distributed OptimizationMulti-Agent RLRiemannian OptimizationFederated Learning
Citations & Impact
All-time
Citations
377
 
H-index
9
 
i10-index
8
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • Published several papers, including an article in IEEE Transactions on Automatic Control on convergence analysis using quadratic constraints for centralized and distributed mirror descent, a paper in Advances in Neural Information Processing Systems on provably fast convergence of independent natural policy gradient for Markov potential games, and a preprint on arXiv about improving LoRA in privacy-preserving federated learning.
Research Experience
  • Served as an Assistant Researcher in the Department of Electrical Engineering at Tsinghua University since 2025, focusing on distributed optimization system dynamics, federated learning, and multi-agent reinforcement learning.
Education
  • Obtained his Ph.D. degree in 2025 from the Department of Mechanical & Industrial Engineering at Northeastern University, advised by Prof. Shahin Shahrampour; was a Ph.D. student in the Department of Industrial Engineering at Texas A&M University (2019-2021); obtained his B.S. degree in Electrical Engineering from the University of Science and Technology of China (2015-2019) as a member of the School of the Gifted Young.
Background
  • Currently an Assistant Researcher in the Department of Electrical Engineering at Tsinghua University, and a faculty member of the THU-C3I Lab. His research focuses on the theory and novel applications for LLM reasoning, as well as safe and robust AI systems.
Miscellany
  • Contact: Email is always the best way to reach him.