| 2026 | COLT | Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs (extended abstract). | Tianhao Wu, Matthew Zurek, Weina Wang, Qiaomin Xie |
| 2026 | SIGMETRICS | Wasserstein-p Central Limit Theorem Rates: From Local Dependence to Markov Chains. | Yixuan Zhang, Qiaomin Xie |
| 2025 | AAAI | Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent. | Xiang Li, Qiaomin Xie |
| 2025 | AISTATS | Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way. | Jeongyeol Kwon, Luke Dotson, Yudong Chen, Qiaomin Xie |
| 2025 | ICML | Stable Offline Value Function Learning with Bisimulation-based Representations. | Brahma S. Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna |
| 2025 | SIGMETRICS | A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression. | Yixuan Zhang, Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie |
| 2024 | AAAI | Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption. | Yiding Chen, Xuezhou Zhang, Qiaomin Xie, Xiaojin Zhu |
| 2024 | AAAI | Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference. | Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie |
| 2024 | AAAI | Optimal Attack and Defense for Reinforcement Learning. | Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie |
| 2024 | AAAI | Data Poisoning to Fake a Nash Equilibria for Markov Games. | Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie |
| 2024 | AISTATS | SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. | Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak |
| 2024 | AISTATS | Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements. | Emmanouil-Vasileios Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen, Qiaomin Xie |
| 2024 | ICML | Roping in Uncertainty: Robustness and Regularization in Markov Games. | Jeremy McMahan, Giovanni Artiglio, Qiaomin Xie |
| 2024 | ICML | Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces. | Brahma S. Pavse, Matthew Zurek, Yudong Chen, Qiaomin Xie, Josiah P. Hanna |
| 2024 | ICML | Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. | Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Jerry Zhu, Qiaomin Xie |
| 2024 | SIGMETRICS | Near-Optimal Stochastic Bin-Packing in Large Service Systems with Time-Varying Item Sizes. | Yige Hong, Qiaomin Xie, Weina Wang |
| 2024 | SIGMETRICS | Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive SA. | Yixuan Zhang, Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie |
| 2023 | AAAI | Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning. | Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie |
| 2023 | COLT | Sharper Model-free Reinforcement Learning for Average-reward Markov Decision Processes. | Zihan Zhang, Qiaomin Xie |
| 2023 | ICDCS | Distributed Threshold-Based Offloading for Heterogeneous Mobile Edge Computing. | Xudong Qin, Qiaomin Xie, Bin Li |
| 2023 | SIGMETRICS | Bias and Extrapolation in Markovian Linear Stochastic Approximation with Constant Stepsizes. | Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie |
| 2021 | ICML | Learning While Playing in Mean-Field Games: Convergence and Optimality. | Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, Andreea Minca |
| 2021 | SIGMETRICS | Zero Queueing for Multi-Server Jobs. | Weina Wang, Qiaomin Xie, Mor Harchol-Balter |
| 2020 | COLT | Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. | Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang |
| 2020 | SIGMETRICS | Non-Asymptotic Analysis of Monte Carlo Tree Search. | Devavrat Shah, Qiaomin Xie, Zhi Xu |
| 2017 | IPCO | Stochastic Online Scheduling on Unrelated Machines. | Varun Gupta, Benjamin Moseley, Marc Uetz, Qiaomin Xie |
| 2016 | INFOCOM | Scheduling with multi-level data locality: Throughput and heavy-traffic optimality. | Qiaomin Xie, Ali Yekkehkhany, Yi Lu |
| 2015 | INFOCOM | Priority algorithm for near-data scheduling: Throughput and heavy-traffic optimality. | Qiaomin Xie, Yi Lu |
| 2015 | SIGMETRICS | Power of | Qiaomin Xie, Xiaobo Dong, Yi Lu, Rayadurgam Srikant |
| 2012 | ISIT | Degree-guided map-reduce task assignment with data locality constraint. | Qiaomin Xie, Yi Lu |