Xuchuang Wang

Research Fellow @ CUHK CSE || Incoming AP @ HKBU CS

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 a RGC Junior Research Fellow in the Department of Computer Science and Engineering at Chinese University of Hong Kong and an incoming Assistant Professor in the Department of Computer Science at Hong Kong Baptist University.

Prior to this, I was a postdoctoral researcher for three years 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 obtained my B.Eng. with Hons. (now Qian Xuesen Honors College) from Xi’an Jiaotong University.

I am actively looking for P.h.D students starting in Fall 2026! Please feel free to reach out!

research highlights

news

Mar 07, 2026 Invited to give a talk at UNC Charlotte [Declined]. See you at Hong Kong, instead.
Feb 10, 2026 Invited to give a talk at Texas Tech. See you at Lubbock, TX!
Feb 07, 2026 Invited to give a talk at UConn. See you at Storrs, CT!
Feb 06, 2026 Our OPAL paper on optimizing quantum network tomography is accepted by QCNC 2026.
Jan 28, 2026 Invited to give a talk at RIT. See you at Rochester, NY!

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