NetDyna: Mining Networked Coevolving Time Series with Missing Values. - Hairi; Hanghang Tong; Lei Ying 001 (IEEE BigData, 2019)

Beyond Scaling: Calculable Error Bounds of the Power-of-Two-Choices Mean-Field Model in Heavy-Traffic. - Hairi; Xin Liu 049; Lei Ying 001 (MobiHoc, 2021)

Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward. - Hairi; Jia Liu 002; Songtao Lu (ICLR, 2022)

Sample and Communication Efficient Fully Decentralized MARL Policy Evaluation via a New Approach: Local TD Update. - Hairi; Zifan Zhang; Jia Liu 002 (AAMAS, 2024)

Byzantine-Robust Decentralized Federated Learning. - Minghong Fang; Zifan Zhang; Hairi; Prashant Khanduri; Jia Liu 002; Songtao Lu; Yuchen Liu 001; Neil Gong 001 (CCS, 2024)

Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning. - Tianchen Zhou; Hairi; Haibo Yang 001; Jia Liu 002; Tian Tong; Fan Yang 084; Michinari Momma; Yan Gao 029 (ICML, 2024)

On the Hardness of Decentralized Multi-Agent Policy Evaluation Under Byzantine Attacks. - Hairi; Minghong Fang; Zifan Zhang; Alvaro Velasquez; Jia Liu 002 (WiOpt, 2024)

Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning. - Zhiyao Zhang; Myeung Suk Oh; Hairi; Ziyue Luo; Alvaro Velasquez; Jia Liu 002 (CoRR, 2025)

Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach. - Hairi; Jiao Yang; Tianchen Zhou; Haibo Yang 001; Chaosheng Dong; Fan Yang 084; Michinari Momma; Yan Gao 029; Jia Liu 002 (CoRR, 2025)