I am a Ph.D. candidate in School of Computing and Artificial Intelligence at Shanghai University of Finance and Economics, fortunately advised by Professor Pinyan Lu. Prior to this, I received my B.Sc. in Mathematics from Wuhan University in 2021. I am currently a visiting Ph.D. student at the University of Southern California, working with Professor Haipeng Luo.
My research focuses on online learning in strategic environments, utilizing no-regret algorithms to analyze multi-agent interactions. I investigate theoretical convergence guarantees in games and apply these foundations to optimize efficiency in economic markets.
Publications
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[NeurIPS 2025 Spotlight] Comparator-Adaptive $\Phi$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games
(${\alpha}$- ${\beta}$) with Soumita Hait, Haipeng Luo, and Mengxiao Zhang
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[COLT 2025] Alternating Regret for Online Convex Optimization
(${\alpha}$- ${\beta}$) with Soumita Hait, Haipeng Luo, and Mengxiao Zhang
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[UAI 2024] Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games
(${\alpha}$- ${\beta}$) with Yi Feng, Ioannis Panageas, and Xiao Wang
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[NeurIPS 2023] On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails
(${\alpha}$- ${\beta}$) with Yi Feng, Hu Fu, Qun Hu, Ioannis Panageas, Bo Peng, and Xiao Wang
Honors and Awards
- 2024.10 National Scholarship
- 2024.07 Outstanding Paper Award of the CCF National Conference on Theoretical Computer Science