Dr Yu, Lequan 于樂全
Dr Lequan Yu is an assistant professor at The University of Hong Kong. His research lies at the intersection of artificial intelligence and healthcare. He is dedicated to designing machine learning and deep learning algorithms for biomedical data analysis, with a primary focus on medical images. Specifically, he focuses on: 1) developing multi-modal learning algorithms to integrate different biomedical data; 2) building real-world learning systems to learn reliable, generalizable, and fair representations from imperfect data; and 3) developing causality-based learning algorithms to improve its interpretability for healthcare problems. Before joining HKU, he was a postdoctoral research fellow at Stanford University, working with Prof. Lei Xing. He obtained his Ph.D. degree in CSE, The Chinese University of Hong Kong in July 2019 and the B.Eng degree in CS, Zhejiang University in 2015.
|Awardees||Award Date||Honours / Awards / Prizes||Category|
|2022-09-01||Best Paper Award of MICCAI CMMCA Workshop||Research Achievement|
|2022-09-01||Best Paper Honorable Mention Award of MICCAI DART Workshop||Research Achievement|
|2022-10-01||Top 2% of Scientists on Stanford List||Research Achievement|
|2022-08-01||IEEE TMI Distinguished Reviewer Platinum Level||Others|
|2021-02-01||IEEE TMI Distinguished Reviewer Silver Level||Research Achievement|
|2022-03-01||the World's First List of Top 150 Chinese Young Scholars in Artificial Intelligence: Baidu Inc.||Research Achievement|
|Term Period||Position||Professional Societies|
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