LI Yikang
Tenue-track Associate Professor
Hong Kong Island, Hong Kong, China
Summary
🤩
Rockstar🎓
Top SchoolLI Yikang is a tenure-track associate professor and applied AI researcher with a decade of experience spanning academic deep learning research and industrial AI productization. Trained at Tsinghua and CUHK (PhD candidate in Computer Vision), he has led large autonomous driving teams and built end-to-end perception and simulation platforms at Shanghai AI Lab and SenseTime while also driving AI investments and projects at IDG Capital. His work bridges vision, language, and robotics, with industry research stints at Microsoft and Meta that contributed to high-profile CVPR publications. Equally comfortable mentoring students and shipping commercial systems, he combines rigorous research instincts with product-driven execution across startups, labs, and investment-backed ventures. An unusual strength is his cross-domain fluency—electronics, economics, and telecommunications—that helps him evaluate both technical merit and market potential.
10 years of coding experience
7 years of employment as a software developer
UNSW SydneyBachelor's Degree, Economics, Bachelor's Degree, Economics at Tsinghua UniversityThe Chinese University of Hong Kong (CUHK)
English, Chinese
Github Skills (41)
python10
machine-learning10
deep-learning10
gpu10
scene10
sensor10
matlab9
numpy9
acceleration9
autograd9
calibration9
tensorflow9
neural-network9
tensor9
gpu-acceleration9
Programming languages (2)
Github contributions (5)
yikang-li/FactorizableNet
Aug 2018 - Mar 2019
Factorizable Net (Multi-GPU version): An Efficient Subgraph-based Framework for Scene Graph Generation
Contributions:23 commits, 1 PR, 19 pushes in 7 months
pytorchdeep-learninggpusubgraphscene
yikang-li/MSDN
Aug 2017 - Nov 2019
Contributions:19 commits, 17 pushes, 1 branch in 2 years 4 months
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