Lei Yang
Lecturer at Centre for Garment Production Limited
Hong Kong, China
Summary
🤩
Rockstar🎓
Top SchoolLei Yang is a lecturer and researcher based in Hong Kong with seven years of experience at the intersection of deep learning, robotics, geometric modeling, and computer graphics. He transitioned from PhD studies in mechanical engineering to postdoctoral work and now faculty roles at The University of Hong Kong, where he develops novel 3D perception algorithms for robotics and mentors PhD students. His background includes hands-on research in sketch-based geometry fitting and industry collaboration as a research officer for garment production, reflecting a rare blend of academic rigor and applied, production-oriented problem solving. While rooted in computer vision, Lei’s work leverages mechanical and naval-architecture training to bring geometric and physical insight to learning-based models.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE, Naval Architecture and Marine Engineering, Bachelor of Engineering - BE, Naval Architecture and Marine Engineering at DALIAN UNIVERSITY OF TECHNOLOGYDoctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Dalian University of Technology
Chinese, Chinese, 广东话
Github Skills (54)
transformers10
depth-estimation10
pytorch10
machine-learning-models10
image-synthesis10
python10
semantic-segmentation10
machine-learning10
inference10
multimodal10
semi-supervised-learning10
llm10
audio10
deep-learning10
natural-language-processing10
Programming languages (4)
Github contributions (5)
LiheYoung/SenseEarth2020-ChangeDetection
Oct 2020 - Dec 2021
1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime
Contributions:88 commits, 2 PRs, 78 pushes in 1 year 1 month
change-detectionremote-sensing-imagesemantic-segmentationsatellite-images
LiheYoung/ST-PlusPlus
Dec 2020 - Jan 2023
[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
Contributions:111 commits, 19 pushes, 2 branches in 2 years
semantic-segmentationsemi-supervised-segmentationself-trainingsemi-supervised-learningcvpr2022
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