The Smoothed Complexity of Computing Kemeny and Slater Rankings. - Lirong Xia; Weiqiang Zheng (AAAI, 2021)

Revenue and User Traffic Maximization in Mobile Short-Video Advertising. - Dezhi Ran; Weiqiang Zheng; Yunqi Li; Kaigui Bian; Jie Zhang 008; Xiaotie Deng (AAMAS, 2022)

Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games. - Yang Cai 001; Argyris Oikonomou; Weiqiang Zheng (NeurIPS, 2022)

Beyond the Worst Case: Semi-random Complexity Analysis of Winner Determination. - Lirong Xia; Weiqiang Zheng (WINE, 2022)

Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions. - Xiaotie Deng; Xinyan Hu; Tao Lin 013; Weiqiang Zheng (WWW, 2022)

Tight Last-Iterate Convergence of the Extragradient Method for Constrained Monotone Variational Inequalities. - Yang Cai 001; Argyris Oikonomou; Weiqiang Zheng (CoRR, 2022)

Accelerated Algorithms for Monotone Inclusions and Constrained Nonconvex-Nonconcave Min-Max Optimization. - Yang Cai 001; Argyris Oikonomou; Weiqiang Zheng (CoRR, 2022)

Accelerated Single-Call Methods for Constrained Min-Max Optimization. - Yang Cai 001; Weiqiang Zheng (ICLR, 2023)

Doubly Optimal No-Regret Learning in Monotone Games. - Yang Cai 001; Weiqiang Zheng (ICML, 2023)

Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback. - Yang Cai 001; Haipeng Luo; Chen-Yu Wei; Weiqiang Zheng (NeurIPS, 2023)

Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games. - Yang Cai 001; Haipeng Luo; Chen-Yu Wei; Weiqiang Zheng (CoRR, 2023)

Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games. - Yang Cai 001; Haipeng Luo; Chen-Yu Wei; Weiqiang Zheng (AISTATS, 2024)

Learning Thresholds with Latent Values and Censored Feedback. - Jiahao Zhang; Tao Lin 013; Weiqiang Zheng; Zhe Feng 004; Yifeng Teng; Xiaotie Deng (ICLR, 2024)

Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion. - Yang Cai 001; Argyris Oikonomou; Weiqiang Zheng (ICML, 2024)

On Tractable Φ-Equilibria in Non-Concave Games. - Yang Cai 001; Constantinos Daskalakis; Haipeng Luo; Chen-Yu Wei; Weiqiang Zheng (NeurIPS, 2024)

Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms. - Yang Cai 001; Gabriele Farina; Julien Grand-Clément; Christian Kroer; Chung-Wei Lee; Haipeng Luo; Weiqiang Zheng (NeurIPS, 2024)

Tractable Local Equilibria in Non-Concave Games. - Yang Cai 001; Constantinos Daskalakis; Haipeng Luo; Chen-Yu Wei; Weiqiang Zheng (CoRR, 2024)

COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences. - Yixin Liu 003; Argyris Oikonomou; Weiqiang Zheng; Yang Cai 001; Arman Cohan (CoRR, 2024)

Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games. - Yang Cai 001; Gabriele Farina; Julien Grand-Clément; Christian Kroer; Chung-Wei Lee; Haipeng Luo; Weiqiang Zheng (ICLR, 2025)

On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games. - Yang Cai 001; Gabriele Farina; Julien Grand-Clément; Christian Kroer; Chung-Wei Lee; Haipeng Luo; Weiqiang Zheng (CoRR, 2025)

From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications. - Yang Cai 001; Haipeng Luo; Chen-Yu Wei; Weiqiang Zheng (CoRR, 2025)