Shupeng Gui
Research Scientist at Meta
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolShupeng Gui is a research scientist at Meta with nine years of industry and academic experience and a PhD in Computer Science from the University of Rochester. His work spans graph embedding, adversarial learning, robust CNN compression, and gene regulatory network inference, combining theoretical insight with practical model-building. He has applied advanced graph representation techniques to heterogeneous networks at Alibaba and translated research into production-relevant internships at Facebook and Vnomics. Comfortable across optimization, generative models, and zero-shot settings, he brings a rare blend of deep learning theory and hands-on systems experience. Based in Bellevue, Washington, he continues to push on both algorithmic foundations and scalable implementations for real-world graph and vision problems.
9 years of coding experience
Bachelor's degree, Electrical Engineering and Information Science, Bachelor's degree, Electrical Engineering and Information Science at 中国科学技术大学Master's degree, Computer Science, Master's degree, Computer Science at University of Rochester
English, Chinese
Github Skills (4)
robustness10
pruning9
model-compression9
quantization8
Programming languages (1)
Github contributions (3)
VITA-Group/ATMC
Oct 2019 - Mar 2020
[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”
Contributions:38 commits, 33 pushes, 1 branch in 5 months
model-compressionrobustnessquantizationpruningunified-optimization-framework
shupenggui/DMI
Feb 2017 - Feb 2017
Contributions:3 pushes, 1 branch in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.