Competition over epidemic networks: Nash and stackelberg games. - Zhi Xu 001; Ali Khanafer 002; Tamer Basar (ACC, 2015)

On a Modified DeGroot-Friedkin model of opinion dynamics. - Zhi Xu 001; Ji Liu 001; Tamer Basar (ACC, 2015)

Distributed evaluation and convergence of self-appraisals in social networks. - Xudong Chen 002; Ji Liu 001; Zhi Xu 001; Tamer Basar (CDC, 2015)

Distributed Evaluation and Convergence of Self-Appraisals in Social Networks. - Xudong Chen 002; Ji Liu 001; Mohamed-Ali Belabbas; Zhi Xu 001; Tamer Basar (IEEE Trans. Autom. Control., 2017)

ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation. - Yuzhe Yang 003; Guo Zhang 006; Zhi Xu 001; Dina Katabi (ICML, 2019)

On Reinforcement Learning Using Monte Carlo Tree Search with Supervised Learning: Non-Asymptotic Analysis. - Devavrat Shah; Qiaomin Xie; Zhi Xu 001 (CoRR, 2019)

On Reinforcement Learning for Turn-based Zero-sum Markov Games. - Devavrat Shah; Varun Somani; Qiaomin Xie; Zhi Xu 001 (FODS, 2020)

Harnessing Structures for Value-Based Planning and Reinforcement Learning. - Yuzhe Yang 003; Guo Zhang 006; Zhi Xu 001; Dina Katabi (ICLR, 2020)

Stable Reinforcement Learning with Unbounded State Space. - Devavrat Shah; Qiaomin Xie; Zhi Xu 001 (L4DC, 2020)

Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation. - Devavrat Shah; Dogyoon Song; Zhi Xu 001; Yuzhe Yang (NeurIPS, 2020)

Rethinking the Value of Labels for Improving Class-Imbalanced Learning. - Yuzhe Yang; Zhi Xu 001 (NeurIPS, 2020)

Non-Asymptotic Analysis of Monte Carlo Tree Search. - Devavrat Shah; Qiaomin Xie; Zhi Xu 001 (SIGMETRICS (Abstracts), 2020)

PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators. - Anish Agarwal; Abdullah Alomar; Varkey Alumootil; Devavrat Shah; Dennis Shen; Zhi Xu 001; Cindy Yang (NeurIPS, 2021)

Private Sequential Learning. - John N. Tsitsiklis; Kuang Xu; Zhi Xu 001 (Oper. Res., 2021)

Data Efficient Reinforcement Learning. - Zhi Xu 001 (2021)

Nonasymptotic Analysis of Monte Carlo Tree Search. - Devavrat Shah; Qiaomin Xie; Zhi Xu 001 (Oper. Res., 2022)