Xiaomeng Li

Assistant Professor
Electronic and Computer Engineering &
Computer Science and Engineering (by courtesy)
Hong Kong University of Science and Technology
Email: eexmli [at] ust (dot) hk

Google Scholar / DBLP

I am an Assistant Professor of Electronic and Computer Engineering and Computer Science and Engineering at The Hong Kong University of Science and Technology. My research lies in the interdisciplinary areas of artificial intelligence and medical image analysis, aiming at advancing healthcare with machine intelligence. Specifically, I work on making machine learning more reliable, human-compatible, and statistically rigorous, and am especially interested in applications in healthcare. Before joining HKUST, I was a Postdoctoral Research Fellow at Stanford University, working with Prof. Lei Xing. I obtained my Ph.D. degree from The Chinese University of Hong Kong, advised by Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu.

I am looking for self-motivated Postdoc/PhD/RA/Interns. Feel free to drop me an email with your CV.

If you are an HKUST student interested in doing research with me, please send me an email.


PhD Students
Visiting Students/Interns
  • Wenjun Yue (2023/05 - )
  • Shanshan Song (2023/09 - )


  • Weihang Dai, PhD (graduated, 2023) (co-supervision) (now, Biotech startup)
  • Sucheng Ren (2022 Summer RA) (Master at SCUT --> PhD at UT Austin)
  • Jingwen Yang, (2021-2022 UROP) (BEng in COMP at HKUST --> Master at UCLA)
  • Yiduo Yu (2021-2022 FYP) (BEng in COMP at HKUST --> Master at CMU)
  • Yiwen Zou, (2021-2022 FYP) (BEng in COMP at HKUST --> Master at UCSD)
  • Xiaoxiao Liang, MSc (graduated, 2021) (now, PhD at HKUST(GZ))


  • ELEC1200 A System View of Communications: From Signals to Packets, Spring 2021
  • ELEC4010N Artificial Intelligence for Medical Image Analysis, Spring 2022, Spring 2023
  • ELEC6910X Advanced Topics in AI and Healthcare, Fall 2022, Fall 2023

Publications (show selected / show all by date)

© Xiaomeng Li | Last updated: Sep. 25th, 2023