Xiaomeng Li
Scholar

Xiaomeng Li

Google Scholar ID: uVTzPpoAAAAJ
Assistant Professor, The Hong Kong University of Science and Technology
Medical Image AnalysisAI in HealthcareDeep Learning
Citations & Impact
All-time
Citations
10,631
 
H-index
38
 
i10-index
78
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Multiple papers accepted in top-tier conferences and journals such as Nature Cancer, IJCV, TNNLS, MedIA, TMI, NeurIPS, ICCV, MICCAI, ICML, AAAI, ICLR, CVPR, IEEE TMI; Received the ECE Faculty Teaching Excellence Appreciation Award for 2023-2024; Served as Associate Editor in IEEE TNNLS and Area Chair in MICCAI 2024
Research Experience
  • Currently an Assistant Professor in the Department of Electronic and Computer Engineering and by courtesy in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology; Formerly a Postdoctoral Research Fellow at Stanford University
Education
  • Ph.D.: The Chinese University of Hong Kong, Advisors: Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu; Postdoctoral Research Fellow: Stanford University, Mentor: Prof. Lei Xing
Background
  • Research Interests: Interdisciplinary areas of artificial intelligence and medical image analysis, aiming at advancing healthcare with machine intelligence. Specifically, focuses on making machine learning more reliable, human-compatible, and statistically rigorous, with a particular interest in applications in healthcare.
Miscellany
  • Looking for self-motivated Postdoc/PhD/RA/Interns to join the team