Summary
Shupeng 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