- 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.