Gao Huang
Assistant Professor at Tsinghua University
City of Ithaca, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolYang Gao is an assistant professor and computer vision researcher with about a decade of experience bridging academic rigor and applied robotic learning, particularly in autonomous driving. Trained as a Ph.D. student at UC Berkeley under Trevor Darrell and now on faculty at Tsinghua, he has hands-on experience from research internships at Waymo, Intel Labs, and Google, contributing to end-to-end driving and perception systems. His work blends Bayesian/statistical foundations from earlier research with modern deep learning for vision and control, reflecting both theoretical depth and system-building chops. Based in Berkeley, he maintains an active academic profile and a track record of collaborations that span top industry labs and leading universities.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Automation Science and Engineering, Bachelor's degree, Automation Science and Engineering at Beihang UniversityDoctor of Philosophy (Ph.D.), Machine Learning, Doctor of Philosophy (Ph.D.), Machine Learning at Tsinghua University
Github Skills (10)
mask-rcnn10
lua10
faster-rcnn10
pytorch10
machine-learning10
deeplearning-ai10
deep-learning10
model-optimization9
optimization8
cudnn8
Programming languages (3)
Github contributions (5)
gaohuang/S-WMD
Oct 2016 - Jan 2018
Contributions:3 commits, 1 PR, 4 pushes in 1 year 2 months
deep-learningsupervisedmachine-learningdistance
gaohuang/MSDNet
Mar 2017 - Apr 2019
Contributions:14 commits, 10 pushes, 1 branch in 2 years
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