李 小 萌

PhD in Computer Science and Engineering
Assistant Professor
Research Area
Biomedical Engineering (BME)
Data Science and AI (DSAI)
Research Interests
Medical image analysis
Deep learning
Computer vision

Before joining HKUST, Xiaomeng Li was a postdoctoral research fellow at Stanford University. She obtained her Ph.D. degree in Computer Science and Engineering Department, The Chinese University of Hong Kong (CUHK). She worked closely with Prof. Pheng-Ann Heng, Prof. Chi-Wing Fu, Prof. Lei Xing, Prof. James Zou, Prof. Hao Wang in CUHK, Stanford, and MIT. She was the Champion of several international medical image diagnosis challenges. She won MICCAI NIH Award and one of her papers is listed among Most Popular Articles in IEEE TMI. 
Her research lies in the interdisciplinary areas of artificial intelligence and medical image analysis, aiming at advancing healthcare with machine intelligence. Her research focuses are: 1) developing machine learning algorithms for automatic and accurate disease diagnosis from CT, MRI, Chest X-ray, fundus photography, Ultrasound videos, etc.; 2) building more intelligent algorithms: label-efficient, generalizable, robust deep learning algorithms for real-world clinical practice.
We are hiring! If you are interested in transforming healthcare with exciting and innovative AI techniques, feel free to drop an email to eexmli dot