Xuchuang Wang

According to our database, Xuchuang Wang authored at least 29 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Competitive Algorithms for Cooperative Multi-Agent Ski-Rental Problems.

Xuchuang Wang, Bo Sun, Hedyeh Beyhaghi, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman

CoRR, July, 2025

Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection.

Qirun Zeng, Eric He, Richard Hoffmann, Xuchuang Wang, Jinhang Zuo

CoRR, May, 2025

Offline Clustering of Linear Bandits: Unlocking the Power of Clusters in Data-Limited Environments.

Jingyuan Liu, Zeyu Zhang, Xuchuang Wang, Xutong Liu, John C. S. Lui, Mohammad Hajiesmaili, Carlee Joe-Wong

CoRR, May, 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, Don Towsley

CoRR, April, 2025

Fusing Reward and Dueling Feedback in Stochastic Bandits.

Xuchuang Wang, Qirun Zeng, Jinhang Zuo, Xutong Liu, Mohammad Hajiesmaili, John C. S. Lui, Adam Wierman

CoRR, April, 2025

Asynchronous Multi-Agent Bandits: Fully Distributed <i>vs</i>. Leader-Coordinated Algorithms.

Xuchuang Wang, Yu-Zhen Janice Chen, Xutong Liu, Lin Yang, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui

Proc. ACM Meas. Anal. Comput. Syst., March, 2025

Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models.

Mengfan Xu, Liren Shan, Fatemeh Ghaffari, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili

CoRR, February, 2025

Multi-Agent Conversational Online Learning for Adaptive LLM Response Identification.

Xiangxiang Dai, Yuejin Xie, Maoli Liu, Xuchuang Wang, Zhuohua Li, Huanyu Wang, John C. S. Lui

CoRR, January, 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

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Combinatorial Logistic Bandits.

Xutong Liu, Xiangxiang Dai, Xuchuang Wang, Mohammad Hajiesmaili, John C. S. Lui

Proceedings of the Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2025

Multi-agent Stochastic Bandits Robust to Adversarial Corruptions.

Fatemeh Ghaffari, Xuchuang Wang, Jinhang Zuo, Mohammad Hajiesmaili

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Learning Best Paths in Quantum Networks.

Xuchuang Wang, Maoli Liu, Xutong Liu, Zhuohua Li, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley

Proceedings of the IEEE INFOCOM 2025, 2025

Stochastic Bandits Robust to Adversarial Attacks.

Xuchuang Wang, Maoli Liu, Jinhang Zuo, Xutong Liu, John C. S. Lui, Mohammad Hajiesmaili

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Heterogeneous Multi-Agent Bandits with Parsimonious Hints.

Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo, Yair Zick, Mohammad Hajiesmaili

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Analyzing Queueing Problems via Bandits With Linear Reward & Nonlinear Workload Fairness.

Xuchuang Wang, Hong Xie, John C. S. Lui

IEEE Trans. Mob. Comput., April, 2024

Stochastic Bandits Robust to Adversarial Attacks.

Xuchuang Wang, Jinhang Zuo, Xutong Liu, John C. S. Lui, Mohammad Hajiesmaili

CoRR, 2024

LinkSelFiE: Link Selection and Fidelity Estimation in Quantum Networks.

Maoli Liu, Zhuohua Li, Xuchuang Wang, John C. S. Lui

Proceedings of the IEEE INFOCOM 2024, 2024

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond.

Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C. S. Lui, Wei Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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., September, 2023

Optimizing recommendations under abandonment risks: Models and algorithms.

Xuchuang Wang, Hong Xie, Pinghui Wang, John C. S. Lui

Perform. Evaluation, September, 2023

Adversarial Attacks on Cooperative Multi-agent Bandits.

Jinhang Zuo, Zhiyao Zhang, Xuchuang Wang, Cheng Chen, Shuai Li, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman

CoRR, 2023

Cooperative Multi-agent Bandits: Distributed Algorithms with Optimal Individual Regret and Constant Communication Costs.

Lin Yang, Xuchuang Wang, Mohammad Hajiesmaili, Lijun Zhang, John C. S. Lui, Don Towsley

CoRR, 2023

Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits?

Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Multi-Fidelity Multi-Armed Bandits Revisited.

Xuchuang Wang, Qingyun Wu, Wei Chen, John C. S. Lui

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits.

Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On-Demand Communication for Asynchronous Multi-Agent Bandits.

Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang, Xutong Liu, Mohammad H. Hajiesmaili, John C. S. Lui, Don Towsley

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications.

Xuchuang Wang, Hong Xie, John C. S. Lui

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms.

Xuchuang Wang, Hong Xie, John C. S. Lui

Proceedings of the International Conference on Machine Learning, 2022