Photo by Craig Schreiner

Hairi

Assistant Professor
Department of Computer Science
University of Wisconsin-Whitewater

Email: hairif@uww.edu
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About Me

Dr. Hairi (pronounced "Hi-Ree") currently is a tenure-track Assistant Professor in the Department of Computer Science at the University of Wisconsin-Whitewater (UWW). He received his B.E. and M.E. degrees from Tsinghua University, respectively, and his Ph.D. degree in Electricial and Computer Engineering from Arizona State University, fortunately advised by Prof. Lei Ying. Prior to joining UWW, he was a postdoctoral researcher at The Ohio State University and AI-EDGE Institute, fortunately advised by Prof. Kevin Liu.

His research interests lie in multi-agent reinforcement learning, stochastic modeling and analysis, machine learning,multi-agent systems and applications of AI in real-world systems.

Selected Publications

• Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning. Zhiyao Zhang*, Myeung Suk Oh*, Hairi, Ziyue Luo, Alvaro Velasquez and Jia Liu. ICML 2025. [PDF]
• Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning. Hairi*, Tianchen Zhou*, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, and Yan Gao. ICML 2024. [PDF]
• Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward. Hairi, Jia Liu and Songtao Lu. ICLR 2022 (Spotlight Presentation, spotlight rate: top 5%). [PDF]
• Beyond Scaling: Calculable Error Bounds of the Power-of-Two Choices Mean-Field Model in Heavy-Traffic. Hairi, Xin Liu and Lei Ying. MobiHoc 2021. [PDF]
• NetDyna: Mining Networked Coevolving Time Series with Missing Values. Hairi, Hanghang Tong and Lei Ying. IEEE BigData 2019.[PDF]

* Equal contribution