Jinhang Zuo
Scholar

Jinhang Zuo

Google Scholar ID: W3YHD10AAAAJ
Assistant Professor of Computer Science, City University of Hong Kong
Online LearningNetworkingDistributed Systems
Citations & Impact
All-time
Citations
298
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
37
list available
Resume (English only)
Academic Achievements
  • - Two papers accepted to ICML 2025 and one paper accepted to KDD 2025
  • - Work on bandits robust to adversarial attacks accepted to ICLR 2025
  • - Work on robust combinatorial contextual bandits accepted to INFOCOM 2025
  • - Work on heterogeneous multi-agent bandits with hints accepted to AAAI 2025
Research Experience
  • - Assistant Professor in the Department of Computer Science at City University of Hong Kong
  • - Joint postdoc at California Institute of Technology and University of Massachusetts Amherst
Education
  • - Assistant Professor in the Department of Computer Science at City University of Hong Kong
  • - Joint postdoc at California Institute of Technology and University of Massachusetts Amherst, working with Prof. Adam Wierman and Prof. Mohammad Hajiesmaili
  • - Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, advised by Prof. Carlee Joe-Wong
  • - B.E. in Communication Engineering at Nanjing University of Posts and Telecommunications
Background
  • Research focuses on online learning and sequential decision-making for building efficient, scalable, and trustworthy machine learning systems. Works on both system-driven learning theory problems and theory-guided online algorithms for real-world systems, including LLM serving, Mixture-of-Experts (MoE), and edge AI. A central theme of the work is integrating learning theory with system design to enable intelligent, resource-aware computation.
Miscellany
  • Seeking Research Assistants starting in Summer/Fall 2025 and PhD students starting in Fall 2026. Interested candidates should email their CV and transcripts.