Run Run Shaw Building, Rm 226
Department of Statistics and Actuarial Science
The University of Hong Kong
Hong Kong
Email: lqyu [at] hku [dot] hk
Biography
I am currently an assistant professor at The University of Hong Kong. My research lies at the intersection of artificial intelligence and medical image analysis.
I am dedicated to designing data-efficient learning methods for biomedical image analysis and reconstruction. I also have expertise in deep learning for 3D vision.
I am looking for self-motivated PhD students, postdocs, research assistants, and (remote) summer interns, who are interested in artificial intelligence for healthcare.
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.
News
[04/2021] Two papers were accepted by Medical Physics.
[11/2020] One paper about annotation-efficient cardiac segmentation was accepted by TMI.
3D FractalNet: Dense Volumetric Segmentation for Cardiovascular MRI Volumes Lequan Yu, Xin Yang, Jing Qin, Pheng-Ann Heng. MICCAI Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, 2016.
Ranked 1st place in Whole-Heart and Great Vessel Segmentation Challenge
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
Conference Reviews:
Senior PC of International Joint Conference on Artificial Intelligence (IJCAI’21)
PC of AAAI Conference on Artificial Intelligence (AAAI’20-21)
IEEE International Conference on Computer Vision (ICCV’21, ICCV'19)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR’19-21)
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
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
Medical Physics
Neurocomputing
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)