Xuchuang Wang
Scholar

Xuchuang Wang

Google Scholar ID: QJ66dEcAAAAJ
UMass Amherst
Performance EvaluationOnline OptimizationQuantum NetworkMulti-Agent System
Citations & Impact
All-time
Citations
102
 
H-index
7
 
i10-index
4
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Publications: SIGMETRICS’25, NeurIPS’25, ICLR’23, AISTATS’23, SIGMETRICS’26, AAAI’25a, UAI’25, UAI’23, ICML’22, IJCAI’22, INFOCOM’25, INFOCOM’24, AAAI’25b, ICLR’25, L4DC’25, ICML’25, NeurIPS’23.
Research Experience
  • Currently a postdoctoral researcher at the University of Massachusetts Amherst, working on multi-agent learning and quantum networking.
Education
  • Ph.D.: Department of Computer Science & Engineering at The Chinese University of Hong Kong, Advisor: John C.S. Lui, ANSR Lab; B.Eng. with Hons.: Xi’an Jiaotong University; Postdoctoral Researcher: Manning College of Information & Computer Science at the University of Massachusetts Amherst, Collaborators: Don Towsley (ACQuIRe Lab) and Mohammad Hajiesmaili (SOLAR Lab); Internship: Theory Center, Microsoft Research Asia, Mentor: Wei Chen.
Background
  • Research Interests: Multi-agent learning and quantum networking; Professional Field: Online learning (theory) and quantum networking (application); Brief Introduction: Develop rigorous algorithms for multi-agent online learning, focusing on efficient communications, heterogeneous agents, and realistic feedback. Also devises practical algorithms for quantum networks, with a focus on routing (optimization) and network tomography (evaluation).
Miscellany
  • On the 2025-2026 job market looking for full-time academia positions.