Zhengyang Geng
PhD Candidate
Pittsburgh, Pennsylvania, United States
Summary
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Rockstar🎓
Top SchoolZhengyang Geng is a CS PhD candidate at Carnegie Mellon University with a decade of experience advancing generative modeling and representation learning across industry and academia. He has driven research and engineering at Meta Reality Labs, Adobe, and the Google-acquired Producer.ai, focusing on diffusion models, post-training acceleration, and fast generative techniques like Mean Flows. His academic work spans implicit models, attention mechanisms, and vision representation from roles at Peking University to CMU, blending theory with production-oriented solutions. Comfortable navigating both research and product contexts, he repeatedly turns cutting-edge models into practical, high-performance systems.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science and Technology, Bachelor of Engineering - BE, Computer Science and Technology at Sichuan UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Carnegie Mellon University
Stackoverflow
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0reached
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Github Skills (30)
matrix-decomposition10
python10
decomposition10
machine-learning10
implicit10
deep-learning10
gpu10
matrix9
numpy9
datasets9
tensorflow9
neural-network9
gpu-acceleration9
differentiable-programming9
autograd8
Programming languages (3)
Github contributions (5)
Gsunshine/Enjoy-Hamburger
Feb 2021 - Sep 2022
[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?
Contributions:19 commits, 3 PRs, 13 pushes in 1 year 7 months
pytorchiclrdecompositiondifferentiable-programmingimplicit
Gsunshine/Gsunshine.github.io
Oct 2021 - Apr 2024
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:23 pushes, 7 branches in 2 years 6 months
templategithub-pages-templatemmistakesmistakesjekyll
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