Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms. - Xuchuang Wang; Hong Xie 004; John C. S. Lui (ICML, 2022)

Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications. - Xuchuang Wang; Hong Xie 004; John C. S. Lui (IJCAI, 2022)

On-Demand Communication for Asynchronous Multi-Agent Bandits. - Yu-Zhen Janice Chen; Lin Yang 013; Xuchuang Wang; Xutong Liu 002; Mohammad H. Hajiesmaili; John C. S. Lui; Don Towsley (AISTATS, 2023)

Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits. - Xuchuang Wang; Lin Yang 013; Yu-Zhen Janice Chen; Xutong Liu 002; Mohammad Hajiesmaili; Don Towsley; John C. S. Lui (ICLR, 2023)

Multi-Fidelity Multi-Armed Bandits Revisited. - Xuchuang Wang; Qingyun Wu; Wei Chen 013; John C. S. Lui (NeurIPS, 2023)

Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits? - Xuchuang Wang; Lin Yang 013; Yu-Zhen Janice Chen; Xutong Liu 002; Mohammad Hajiesmaili; Don Towsley; John C. S. Lui (UAI, 2023)

Cooperative Multi-agent Bandits: Distributed Algorithms with Optimal Individual Regret and Constant Communication Costs. - Lin Yang 013; Xuchuang Wang; Mohammad Hajiesmaili; Lijun Zhang; John C. S. Lui; Don Towsley (CoRR, 2023)

Adversarial Attacks on Cooperative Multi-agent Bandits. - Jinhang Zuo; Zhiyao Zhang; Xuchuang Wang; Cheng Chen 015; Shuai Li 010; John C. S. Lui; Mohammad Hajiesmaili; Adam Wierman (CoRR, 2023)

Optimizing recommendations under abandonment risks: Models and algorithms. - Xuchuang Wang; Hong Xie 004; Pinghui Wang; John C. S. Lui (Perform. Evaluation, 2023)

Quantum Best Arm Identification. - Xuchuang Wang; Yu-Zhen Janice Chen; Matheus Guedes de Andrade; Mohammad Hajiesmaili; John C. S. Lui; Don Towsley (SIGMETRICS Perform. Evaluation Rev., 2023)

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond. - Xutong Liu 002; Siwei Wang 002; Jinhang Zuo; Han Zhong; Xuchuang Wang; Zhiyong Wang; Shuai Li 010; Mohammad Hajiesmaili; John C. S. Lui; Wei Chen 020 (ICML, 2024)

LinkSelFiE: Link Selection and Fidelity Estimation in Quantum Networks. - Maoli Liu; Zhuohua Li 001; Xuchuang Wang; John C. S. Lui (INFOCOM, 2024)

Stochastic Bandits Robust to Adversarial Attacks. - Xuchuang Wang; Jinhang Zuo; Xutong Liu 002; John C. S. Lui; Mohammad Hajiesmaili (CoRR, 2024)

Analyzing Queueing Problems via Bandits With Linear Reward & Nonlinear Workload Fairness. - Xuchuang Wang; Hong Xie 004; John C. S. Lui (IEEE Trans. Mob. Comput., 2024)

Heterogeneous Multi-Agent Bandits with Parsimonious Hints. - Amirmahdi Mirfakhar; Xuchuang Wang; Jinhang Zuo; Yair Zick; Mohammad Hajiesmaili (AAAI, 2025)

Quantum Best Arm Identification with Quantum Oracles. - Xuchuang Wang; Yu-Zhen Janice Chen; Matheus Guedes de Andrade; Jonathan Allcock; Mohammad Hajiesmaili; John C. S. Lui; Don Towsley (AAAI, 2025)

Stochastic Bandits Robust to Adversarial Attacks. - Xuchuang Wang; Maoli Liu; Jinhang Zuo; Xutong Liu 002; John C. S. Lui; Mohammad Hajiesmaili (ICLR, 2025)

Learning Best Paths in Quantum Networks. - Xuchuang Wang; Maoli Liu; Xutong Liu 002; Zhuohua Li 001; Mohammad Hajiesmaili; John C. S. Lui; Don Towsley (INFOCOM, 2025)

Multi-agent Stochastic Bandits Robust to Adversarial Corruptions. - Fatemeh Ghaffari; Xuchuang Wang; Jinhang Zuo; Mohammad Hajiesmaili (L4DC, 2025)

Combinatorial Logistic Bandits. - Xutong Liu 002; Xiangxiang Dai; Xuchuang Wang; Mohammad Hajiesmaili; John C. S. Lui (SIGMETRICS (Abstracts), 2025)

Near-Optimal Regret Bounds for Federated Multi-armed Bandits with Fully Distributed Communication. - Haoran Zhang; Xuchuang Wang; Hao-Xu Chen; Hao Qiu; Lin Yang; Yang Gao (UAI, 2025)

Multi-Agent Conversational Online Learning for Adaptive LLM Response Identification. - Xiangxiang Dai; Yuejin Xie; Maoli Liu; Xuchuang Wang; Zhuohua Li 001; Huanyu Wang; John C. S. Lui (CoRR, 2025)

Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models. - Mengfan Xu; Liren Shan; Fatemeh Ghaffari; Xuchuang Wang; Xutong Liu 002; Mohammad Hajiesmaili (CoRR, 2025)

Asynchronous Multi-Agent Bandits: Fully Distributed vs. Leader-Coordinated Algorithms. - Xuchuang Wang; Yu-Zhen Janice Chen; Xutong Liu 002; Lin Yang 013; Mohammad Hajiesmaili; Don Towsley; John C. S. Lui (Proc. ACM Meas. Anal. Comput. Syst., 2025)

Fusing Reward and Dueling Feedback in Stochastic Bandits. - Xuchuang Wang; Qirun Zeng; Jinhang Zuo; Xutong Liu 002; Mohammad Hajiesmaili; John C. S. Lui; Adam Wierman (CoRR, 2025)

Online Experimental Design for Network Tomography. - Xuchuang Wang; Yu-Zhen Janice Chen; Matheus Guedes de Andrade; Mohammad Hajiesmaili; John C. S. Lui; Ting He 001; Don Towsley (CoRR, 2025)

Offline Clustering of Linear Bandits: Unlocking the Power of Clusters in Data-Limited Environments. - Jingyuan Liu; Zeyu Zhang; Xuchuang Wang; Xutong Liu 002; John C. S. Lui; Mohammad Hajiesmaili; Carlee Joe-Wong (CoRR, 2025)

Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection. - Qirun Zeng; Eric He; Richard Hoffmann; Xuchuang Wang; Jinhang Zuo (CoRR, 2025)

Competitive Algorithms for Cooperative Multi-Agent Ski-Rental Problems. - Xuchuang Wang; Bo Sun 004; Hedyeh Beyhaghi; John C. S. Lui; Mohammad Hajiesmaili; Adam Wierman (CoRR, 2025)