I am a postdoctoral researcher at the National University of Singapore, working with Professor Vincent Y. F. Tan. I received my Ph.D. from the 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.
My research lies at the intersection of online learning, game theory, and optimization. I study no-regret learning dynamics in strategic, multi-agent environments. More recently, I have been working on the theoretical understanding of optimizers used in training large language models.
Working Papers
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[Working Paper] Last-Iterate Stationarity of Muon with Finitely Many Newton-Schulz Iterations
Ping Li and Vincent Y. F. Tan
Publications
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[NeurIPS 2026] Near-Optimal Last-Iterate Convergence for Zero-Sum Games with Bandit Feedback and Opponent Actions
Soumita Hait*, Ping Li*, Haipeng Luo*, and Mengxiao Zhang*
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[WINE 2026] Time-Windowed Optimal Stopping
Nick Gravin*, Ping Li*, and Zhihao Gavin Tang*
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[JMLR 2026] Alternating Regret for Online Convex Optimization
Soumita Hait*, Ping Li*, Haipeng Luo*, and Mengxiao Zhang*
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[NeurIPS 2025 Spotlight] Comparator-Adaptive $\Phi$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games
Soumita Hait*, Ping Li*, Haipeng Luo*, and Mengxiao Zhang*
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[COLT 2025] Alternating Regret for Online Convex Optimization
Soumita Hait*, Ping Li*, Haipeng Luo*, and Mengxiao Zhang*
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[UAI 2024] Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games
Yi Feng*, Ping Li*, 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
Yi Feng*, Hu Fu*, Qun Hu*, Ping Li*, 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
