Lequan Yu

Assistant Professor

Rm 226, Run Run Shaw Building
Department of Statistics and Actuarial Science
The University of Hong Kong
Hong Kong

Email: lqyu [at] hku [dot] hk


I am an assistant professor at The University of Hong Kong. My research lies at the intersection of artificial intelligence and healthcare. I am dedicated to designing advanced machine learning algorithms for biomedical data analysis, with a primary focus on medical images, to enable reliable clinical decision making. Specifically, we focus on: 1) developing multi-modal learning algorithms to intergrate multi-scale heterogeneous biomedical data for disease prevention, diagnosis, and prognosis; 2) building real-world learning systems to learn reliable, generalizable, and fair representations from imperfect medical data; and 3) developing causality-based learning algorithms to improve its interpretability for healthcare problems.

Before joining HKU, I was a postdoctoral research fellow at Stanford University, working with Prof. Lei Xing. I obtained my 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.

I am looking for self-motivated Postdoc/PhD/RA/Interns, who are interested in machine learning, computer vision, clinical NLP, and bioinformatics. Welcome to drop me an email with your CV and transcripts. Remote collaboration is also welcome!

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

Due to the large amount of emails I receive, I may not be able to respond to each one individually.



Selected Publications [Google Scholar]






Before 2018


Current Students:
Fuying Wang (BEng at Tsinghua)(PhD Student, 2021-)
Weiqin Zhao (BEng at Beihang)(PhD Student, 2021-)
Lingting Zhu (BEng at ZJU)(PhD Student, 2021-) (HKU-PS)
Xuanyu Liu (Mphil at SUSTech)(PhD Student, 2021-)(co-advisor)
Zhenchao Jin (MPhil at USTC)(PhD Student, 2022-)
Zhuo Liang (BSc at HKU)(PhD Student, 2022-)(HKU-PS)
Yan Miao (MPhil at McGill)(PhD Student, 2022-)(HKPF)

Previous Mentorship:
Yiqing Shen (2021 Summer Intern) (BSc at SJTU --> CS PhD at JHU)
Xiaoyu Zhang (2021 Summer Intern) (BEng at ZJU --> MCDS at CMU)
Zeqi Xiao (2021 Summer Intern) (BEng at ZJU --> Intern at Shanghai AI Lab)
Yijun Yang (2021 Summer Intern) (BEng at SDU --> PhD at HKUST-GZ)
Kang Li (Ph.D. at CUHK)
Liyue Shen (Ph.D. at Stanford)
Shujun Wang (Ph.D. at CUHK) (now, Postdoc at Cambridge)
Xianzhi Li (Ph.D. at CUHK) (now, Assoc. Prof. at HUST)

Recent Talks & Presentations

Honors & Awards

the World's First List of Top 150 Chinese Young Scholars in Artificial Intelligence, 2022
IEEE TMI Distinguished Reviewer Silver Level, 2021
CUHK Young Scholars Thesis Award 2019
Young Scientist Award Short-listed, Hong Kong Institution of Science, 2019
Teaching Assistant of Merit, 2018
MedIA-MICCAI'17 Best Paper Award, 2017
AAAI Scholarship, San Fransisco, USA, 2017
Champion, Optic Disc&Cup Segmentation on Retinal Fundus Images (REFUGE 2018)
Champion, Whole-Heart and Great Vessel Segmentation (HVSMR 2016)
Champion, Skin Lesion Analysis Towards Melanoma Detection Challenge (ISIC 2016)
Champion, Prostate MR Image Segmentation 2012 (PROMISE12, until 2018 Jan.)
National Scholarship in China (1.8%), 2012-2014
He Zhijun Scholarship (1/300+, Highest Honor in College of Computer Science, Zhejiang University), 2014
Kwanjeong Educational Foundation Scholarship, 2012-2014
Meritorious Winner, Interdisciplinary Contest in Modeling (ICM), Consortium for Mathematics and Its Application, 2014
The Outstanding Undergraduate Award (Awarded by CCF, 100 undergraduates every year in China), 2014
Outstanding Graduates of Zhejiang University, 2015

Professional Activities

  • Program Committees:
    Area Chair of Medical Image Computing and Computer Assisted Intervention (MICCAI’22)
    Senior Program Committee of AAAI Conference on Artificial Intelligence (AAAI’22)
    Co-organizer of ICCV'21 workshop on Computer Vision for Automated Medical Diagnosis
    Senior Program Committee of International Joint Conference on Artificial Intelligence (IJCAI’21)

  • Conference Reviews:
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19-22)
    PC of AAAI Conference on Artificial Intelligence (AAAI’20-21)
    IEEE International Conference on Computer Vision (ICCV’21, ICCV'19)
    Medical Image Computing and Computer Assisted Intervention (MICCAI’18-21)
    IEEE Winter Conference on Applications of Computer Vision (WACV’20-21)
    Medical Imaging with Deep Learning (MIDL’21)
    SIGGRAPH 2020
    European Conference on Computer Vision (ECCV’20)
    Asian Conference on Computer Vision (ACCV’20)

  • Journal Reviews:
    Nature Machine Intelligence
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
    International Journal of Computer Vision (IJCV)
    Medical Image Analysis (MedIA)
    IEEE Transactions on Medical Imaging (TMI)
    IEEE Transactions on Image Processing (TIP)
    IEEE Transactions on Biomedical Engineering (TBME)
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    IEEE Transactions on Automation Science and Engineering (TASE)
    IEEE Transactions on Artificial Intelligence (TAI)
    IEEE Transactions on Big Data (TBD)
    IEEE Transactions on Dependable and Secure Computing
    IEEE Journal of Biomedical and Health Informatics (JBHI)
    IEEE Robotics and Automation Letters (RA-L)
    ACM Transactions on Computing for Healthcare
    Pattern Recognition
    Medical Physics
    International Journal of Computer Assisted Radiology and Surgery (IJCARS)
    International Journal of Medical Informatics
    Journal of Applied Clinical Medical Physics (JACMP)
    Artificial Intelligence in Medicine
    Computer Methods and Programs in Biomedicine (CMPB)

  • Teaching

    2022 FallSTAT3612 Statistical Machine Learning
    2022 SpringAPAI4011/STAT4011 Natural Language Processing