Haichuan Yang
Staff Software Engineer at Google DeepMind
Beijing, United States
Summary
👤
Senior🎓
Top SchoolHaichuan Yang is a staff software engineer and PhD researcher with a decade of experience specializing in efficient deep learning, model compression, sparse optimization, and reinforcement learning. He progressed from publishing foundational work on structured sparsity and energy-constrained compression at top venues (CVPR, ICLR, ICML) to shipping on-device and recommender-system optimizations as a research scientist at Meta and now at Google DeepMind. His research produced practical wins—e.g., automatic joint pruning-and-quantization that compressed AlexNet by 205x without accuracy loss and energy-aware compression reducing inference energy fourfold with minimal accuracy drop. Equally comfortable deriving theory (linear convergence proofs, LP projections for exclusive sparsity) and building production-ready ML systems, he combines rigorous academic training with large-scale industry impact. Based in Beijing with a PhD background from University of Rochester, he quietly bridges cutting-edge research and deployable efficient-AI solutions.
10 years of coding experience
9 years of employment as a software developer
Master's degree Computer Engineering, Master's degree Computer Engineering at Beihang UniversityBachelor's degree Software Engineering, Bachelor's degree Software Engineering at Sun Yat-sen UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Rochester
Github Skills (23)
python10
machine-learning10
deep-learning10
tensorflow10
neural-network10
data-science9
ml9
deep-neural-networks9
computer-vision7
recurrent-neural-networks5
overleaf4
lstm4
latex4
xelatex4
beamer4
Programming languages (4)
Github contributions (5)
KingAndQueen/Multi_Roles
Oct 2017 - Jun 2018
Contributions:263 commits, 5 PRs, 206 pushes in 8 months
KingAndQueen/workspace_KG
Mar 2018 - Dec 2019
Dialogue with Image
Contributions:336 commits, 2 PRs, 277 pushes in 1 year 9 months
dialoguecomputer-vision
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