| 2026 | STOC | Proximal Regret and Proximal Correlated Equilibria: A New Tractable Solution Concept for Online Learning and Games. | Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng |
| 2026 | STOC | Fisher Meets Lindahl: A Unified Duality Framework for Market Equilibrium. | Yixin Tao, Weiqiang Zheng |
| 2025 | ICLR | Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games. | Yang Cai, Gabriele Farina, Julien Grand-Clment, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng |
| 2024 | AISTATS | Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games. | Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng |
| 2024 | ICLR | Learning Thresholds with Latent Values and Censored Feedback. | Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng |
| 2024 | ICML | Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion. | Yang Cai, Argyris Oikonomou, Weiqiang Zheng |
| 2023 | ICLR | Accelerated Single-Call Methods for Constrained Min-Max Optimization. | Yang Cai, Weiqiang Zheng |
| 2023 | ICML | Doubly Optimal No-Regret Learning in Monotone Games. | Yang Cai, Weiqiang Zheng |
| 2022 | WWW | Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions. | Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng |
| 2021 | AAAI | The Smoothed Complexity of Computing Kemeny and Slater Rankings. | Lirong Xia, Weiqiang Zheng |