Xuchuang Wang

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

multi-agent sequential decision-making:
- communication-efficient algorithms (SIGMETRICS’25, NeurIPS’25, ICLR’23, AISTATS’23),
- heterogenous cooperation algorithms (SIGMETRICS’26, AAAI’25a, UAI’25, UAI’23),
- agents with grouping or shareable policies (Ski-Rental Preprint, ICML’22, IJCAI’22).
quantum network optimization and evaluation:
- quantum network routing optimization (INFOCOM’25, INFOCOM’24),
- quantum best arm identification (AAAI’25b),
- quantum network tomography (Mergecast Preprint, OPAL Preprint).
online learning with realistic feedback:
- strong-adversary manipulated feedback (ICLR’25, L4DC’25),
- fusing absolute and relative feedback (ICML’25),
- multi-fidelity feedback (NeurIPS’23).

news

Dec 03, 2025	I’ll be attending NeurIPS 2025 from Wednesday 3 December to Sunday 7 December 2025 in San Diego, CA. Looking forward to seeing you there!
Nov 08, 2025	One paper on multi-agent conversational bandits for LLM responses alignment is accepted by AAAI 2026, AI alignment track.
Oct 29, 2025	I give an invited talk on Asynchronous Decision-Making in Multi-Agent Bandits in INFORMS Annual Meeting 2025, Atlanta, GA.
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.

selected publications

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

Bib PDF

@inproceedings{wang2025fusing,
  title = {Fusing Reward and Dueling Feedback in Stochastic Bandits},
  author = {Wang, Xuchuang and Zeng, Qirun and Zuo, Jinhang and Liu, Xutong and Hajiesmaili, Mohammad and Lui, John C.S. and Wierman, Adam},
  booktitle = {Forty-second International Conference on Machine Learning},
  year = {2025},
}

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

Bib PDF Poster

@inproceedings{wang2025robust,
  title = {Stochastic Bandits Robust to Adversarial Attacks},
  author = {Wang, Xuchuang and Liu, Maoli and Zuo, Jinhang and Liu, Xutong and Lui, John C.S. and Hajiesmaili, Mohammad},
  booktitle = {International Conference on Learning Representations},
  year = {2025},
}

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

Bib PDF Slides Video

@inproceedings{wang2025asynchronous,
  title = {Asynchronous Multi-Agent Bandits: Fully Distributed vs. Leader-Coordinated Algorithms},
  author = {Wang*, Xuchuang and Chen*, Yu-Zhen Janice and Yang, Lin and Liu, Xutong and Hajiesmaili, Mohammad and Towsley, Don and Lui, John C.S.},
  booktitle = {ACM International Conference on Measurement and Modeling of Computer Systems},
  year = {2025}
}

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

Bib PDF Poster

@inproceedings{wang2025best,
  title = {Best Arm Identification with Quantum Oracles},
  author = {Wang, Xuchuang and Chen, Yu-Zhen Janice and Guedes de Andrade, Matheus and Allcock, Jonathan and Hajiesmaili, Mohammad and Lui, John C.S. and Towsley, Don},
  booktitle = {The 39th Annual AAAI Conference on Artificial Intelligence},
  year = {2025}
}

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

Bib PDF Slides

@inproceedings{wang2025learn,
  title = {Learning Best Paths in Quantum Networks},
  author = {Wang, Xuchuang and Liu, Maoli and Liu, Xutong and Li, Zhuohua and Hajiesmaili, Mohammad and Lui, John C.S. and Towsley, Don},
  booktitle = {Proceedings of the IEEE Conference on Computer Communications},
  year = {2025}
}