Xuchuang Wang

multi-agent learning & quantum networking

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xuchuangwang@umass.edu

I am a postdoctoral researcher in the Manning College of Information & Computer Science at University of Massachusetts Amherst, working with Don Towsley at ACQuIRe Lab and Mohammad Hajiesmaili at SOLAR Lab. I received my Ph.D. in the Department of Computer Science & Engineering at The Chinese University of Hong Kong under the guidance of John C.S. Lui at ANSR Lab. I also interned at Theory Center, Microsoft Research Asia, mentored by Wei Chen. I obtained my B.Eng. with Hons. from Xi’an Jiaotong University.

My research centers on online learning (theory, also known as sequential decision-making under uncertainty) and quantum networking (application). I develop rigorous algorithms for multi-agent online learning, with a focus on efficient communications, heterogeneous agents, and realistic feedback. I also devise practical algorithms for quantum networks, with a focus on routing (optimization) and network tomography (evaluation).

I am on the 2025-2026 job market looking for full-time academia positions. Please feel free to reach out!

research highlights

news

Oct 29, 2025 I will give an invited talk on Asynchronous Decision-Making in Multi-Agent Bandits in INFORMS Annual Meeting, Atlanta, GA. Oct. 29 (Wed.), 10:15-10:30 AM, Building B Level 3 B306.
Sep 26, 2025 One paper on heterogeneous multi-agent learning is accepted by SIGMETRICS 2026.
Sep 19, 2025 One paper on multi-agent communication-efficient algorithm is accepted by NeurIPS 2025.
Sep 01, 2025 Present a poster on “Quantum Top M Arms Identification” at IEEE International Conference on Quantum Computing and Engineering (QCE)’25 at Albuquerque, NM.
Aug 14, 2025 Give a talk on multi-agent ski-rental at Caltech, CA.

selected publications

  1. ICML
    Fusing Reward and Dueling Feedback in Stochastic Bandits
    Xuchuang Wang, Qirun Zeng , Jinhang Zuo , Xutong Liu , Mohammad Hajiesmaili , John C.S. Lui , and Adam Wierman
    In Forty-second International Conference on Machine Learning , 2025
  2. ICLR
    Stochastic Bandits Robust to Adversarial Attacks
    Xuchuang Wang, Maoli Liu , Jinhang Zuo , Xutong Liu , John C.S. Lui , and Mohammad Hajiesmaili
    In International Conference on Learning Representations , 2025
  3. SIGMETRICS
    Asynchronous Multi-Agent Bandits: Fully Distributed vs. Leader-Coordinated Algorithms
    Xuchuang Wang*, Yu-Zhen Janice Chen* , Lin Yang , Xutong Liu , Mohammad Hajiesmaili , Don Towsley , and John C.S. Lui
    In ACM International Conference on Measurement and Modeling of Computer Systems , 2025
  4. AAAI
    Best Arm Identification with Quantum Oracles
    Xuchuang Wang, Yu-Zhen Janice Chen , Matheus Andrade , Jonathan Allcock , Mohammad Hajiesmaili , John C.S. Lui , and Don Towsley
    In The 39th Annual AAAI Conference on Artificial Intelligence , 2025
  5. INFOCOM
    Learning Best Paths in Quantum Networks
    Xuchuang Wang, Maoli Liu , Xutong Liu , Zhuohua Li , Mohammad Hajiesmaili , John C.S. Lui , and Don Towsley
    In Proceedings of the IEEE Conference on Computer Communications , 2025