Photo

Xiaomeng Li

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

Google Scholar / Group GitHub / HKUST Profile / 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.

News

  • [09/2024] One paper was accepted in NeurIPS 2024. Congrats to Jiewen!
  • [09/2024] I have received the ECE Faculty Teaching Excellence Appreciation Award for 2023-2024.
  • [08/2024] FD-SOS has been selected for an oral presentation at MICCAI 2024. Congrats to Marawan!
  • [08/2024] CardiacNet has been selected for an oral presentation at ECCV 2024. Congrats to Jiewen!
  • [07/2024] Two papers were accepted in ECCV 2024.
  • [06/2024] Seven papers were accepted in MICCAI 2024.
  • [06/2024] Congrats to Boan Zhu, Yunfei Liu and Yichen He for winning the ECE Best FYP Awards - 2nd Runner-up.
  • [05/2024] One paper was accepted in ICML 2024.
  • [03/2024] Serve as Associate Editor in IEEE TNNLS.
  • [02/2024] Four papers were accepted in CVPR 2024.
  • [02/2024] Serve as Area Chair in MICCAI 2024.
  • [01/2024] One paper was accepted in ICLR 2024.
  • [09/2023] Our team won 1st place in MICCAI Endoscopic Vision Challenge Category 1. Congrats to Marawan!
  • [09/2023] Our MICCAI DecafWorkshop paper got the Best Paper Award.

Group

Postdocs
PhD Students
Visiting Students/Interns
  • Bodong Du (2024/09 - )
  • Xuanqi Huang (2024/09 - )

Alumni

  • Ce Wang, Postdoc (now, Associate Professor at SYSU)
  • Huimin Wu, PhD (graduated, 2024) (co-supervision) (now, Beijing Institute for General Artificial Intelligence)
  • Qiang Zhai, Postdoc (now, Associate Professor at Sichuan Agricultural University)
  • Qinmin Zheng, Postdoc (now, Associate Professor at Beihang University)
  • 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))

Teaching

  • 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
  • ELEC5690 Advanced Topics in Artificial Intelligence for Medical Image Analysis, Fall 2024
  • ELEC4840 Artificial Intelligence for Medical Image Analysis, Spring 2024

Publications (show selected / show all by date)


© Xiaomeng Li | Last updated: Sep 29th, 2024