Lequan Yu
Programme Co-director Of BASc (Applied AI) at The University of Hong Kong
Hong Kong Island, Hong Kong, China
Summary
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Senior🎓
Top SchoolLequan Yu is an assistant professor and Programme Co-director of the BASc (Applied AI) at The University of Hong Kong, directing the Medical AI Lab where he develops multimodal, real-world and causality-driven machine learning methods for medical imaging and biomedical data. With a PhD from The Chinese University of Hong Kong and postdoctoral training at Stanford, he has translated research into practice through internships at NVIDIA and Siemens Healthineers, focusing on deep learning for clinical decision support. His work emphasizes building generalizable, trustworthy, and fair models that integrate multi-scale data for prevention, diagnosis, prognosis, and treatment design. Notably, he pursues foundation-model-style multimodal approaches and causality-aware algorithms to improve interpretability and safety in real clinical settings.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Zhejiang UniversityThe Chinese University of Hong Kong (CUHK)
English, Chinese
Github Skills (22)
face10
mesh9
3d-reconstruction9
computer-vision8
point-cloud8
voxel8
face-alignment8
machine-learning7
3d6
deep-learning5
deep-reinforcement-learning3
reinforcement-learning2
tensorflow2
dqn2
connections1
Programming languages (2)
Github contributions (5)
yulequan/UA-MT
Jul 2019 - Nov 2020
Contributions:9 commits, 8 pushes, 17 comments in 1 year 4 months
yulequan/PU-Net
Jan 2018 - Oct 2019
Contributions:39 commits, 32 pushes, 1 branch in 1 year 8 months
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