Summary
Bingyin Zhao is an applied researcher with 8 years of experience specializing in trustworthy and robust deep learning, now focused on Generative AI and Trustworthy AI. He holds a Ph.D. in Computer Engineering and has published at top venues including CVPR, ICCV and AAAI, with work spanning video generation, time-series tabular synthesis, and robustness of ViT models. After a research internship at NVIDIA where he studied zero-shot robustness and earned a full-time offer, he relocated to Singapore and continued applied research and product development at NUS and Meitu on conditional tabular generators and video editing systems. He combines deep academic rigor with practical deployment experience—supervising Ph.D. students and helping startups build first-generation generative models—bringing a results-driven approach summed up by his motto: “Nothing is given. Everything is earned.”
8 years of coding experience
2 years of employment as a software developer
Doctor's Degree, Computer Engineering, Doctor's Degree, Computer Engineering at Clemson University
Master of Science (M.S.), Electrical and Electronics Engineering, Master of Science (M.S.), Electrical and Electronics Engineering at Rochester Institute of Technology
High School, High School at Shanghai Yan'an High School
Bachelor of Science (B.S.), Electrical and Electronics Engineering, Bachelor of Science (B.S.), Electrical and Electronics Engineering at East China University of Science and Technology
English, Chinese