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WANG Xuchuang
WANG Xuchuang
王緒創教授
BEng, PhD
Assistant Professor, Department of Computer Science
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About
Prof. Wang received his BEng degree with Honors from Xi'an Jiaotong University and his PhD degree in Computer Science and Engineering from The Chinese University of Hong Kong. Prior to joining HKBU, he was a postdoctoral researcher in the Manning College of Information & Computer Sciences at the University of Massachusetts Amherst. His research centers on online learning theory and quantum networking applications. He develops rigorous algorithms for multi-agent online learning, focusing on efficient communications, heterogeneous agents, and realistic feedback. He also devises practical algorithms for quantum networks, focusing on routing optimization and network tomography. He is a recipient of the RGC Junior Research Fellow Scheme (JRFS), and his research was recognized as a Best Paper Finalist (Top 5) at ACM SIGMETRICS 2025. He serves as a Technical Program Committee member for ACM SIGMETRICS (2026) and ACM MobiHoc (2025, 2026). He also regularly serves as a reviewer for top-tier machine learning venues and prestigious journals such as IEEE/ACM Transactions on Networking and npj Quantum Information.

I am actively looking for PhD/RAs/Interns with a strong background in quantum computing, quantum networks, and reinforcement learning. Please contact me with your CV.
 


Research Interests
  • Multi-agent Sequential Decision-making
  • Quantum Network Optimization and Evaluation
  • Online Learning with Realistic Feedback
 

Selected Publications
  • X. Wang, Q. Zeng, J. Zuo, X. Liu, M. Hajiesmaili, J. C. S. Lui, and A. Wierman. "Fusing Reward and Dueling Feedback in Stochastic Bandits." Proc. the 42nd International Conference on Machine Learning (ICML '25), 2025.
  • X. Wang, M. Liu, J. Zuo, X. Liu, J. C. S. Lui, and M. Hajiesmaili. "Stochastic Bandits Robust to Adversarial Attacks." Proc. the International Conference on Learning Representations (ICLR '25), 2025.
  • X. Wang, Y.-Z. J. Chen, L. Yang, X. Liu, M. Hajiesmaili, D. Towsley, and J. C. S. Lui. "Asynchronous Multi-Agent Bandits: Fully Distributed vs. Leader-Coordinated Algorithms." Proc. the ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS '25), 2025. 
  • X. Wang, Y.-Z. J. Chen, M. Andrade, J. Allcock, M. Hajiesmaili, J. C. S. Lui, and D. Towsley. "Best Arm Identification with Quantum Oracles." Proc. the 39th Annual AAAI Conference on Artificial Intelligence (AAAI '25), 2025.
  • X. Wang, M. Liu, X. Liu, Z. Li, M. Hajiesmaili, J. C. S. Lui, and D. Towsley. "Learning Best Paths in Quantum Networks." Proc. the IEEE Conference on Computer Communications (INFOCOM '25), 2025.
  • X. Wang, Q. Wu, W. Chen, and J. C. S. Lui. "Multi-Fidelity Multi-Armed Bandits Revisited." Proc. the 37th Conference on Neural Information Processing Systems (NeurIPS '23), 2023.
  • X. Wang, L. Yang, and J. C. S. Lui. "Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits." Proc. the International Conference on Learning Representations (ICLR '23), 2023.