Yuzhe Yang
Summary
🤩
RockstarYuzhe Yang is an AI researcher and assistant professor at UCLA who also holds a research scientist role at Google, blending academic leadership with industry-scale ML research. With a PhD from MIT and nine years of experience across CSAIL, Google, and Peking University, he focuses on machine learning, deep learning, and AI for health and sensing applications. His work bridges foundational research and practical deployment, reflecting a track record of transitioning ideas from lab prototypes to real-world systems. Based in Cambridge, he combines rigorous theoretical training with hands-on experimentation in applied domains. Notably, he advanced ML for health during a multi-year stint at CSAIL and continues to pursue cross-cutting problems that span mobile sensing to large-scale AI systems.
10 years of coding experience
Github Skills (30)
adversarial-attacks10
defense10
semi-supervised-learning10
regression10
imbalanced-data10
self-supervised-learning10
robustness10
computer-vision10
pytorch9
natural-language-processing9
adversarial-machine-learning9
contrastive-learning9
deep-learning8
matrix8
periodic-tasks8
Programming languages (2)
Github contributions (5)
YyzHarry/SV-RL
Jun 2019 - Feb 2020
Contributions:37 commits in 7 months
YyzHarry/imbalanced-regression
Feb 2021 - Mar 2022
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
Contributions:16 commits, 1 PR, 11 pushes in 1 year 1 month
regressionpytorchimbalanceimbalanced-datadeep-learning
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