Yuanhao Zhai is a research scientist based in Mountain View with ~10 years of experience at the intersection of video generation, human action analysis, multi-modal learning, and media forensics. He holds a PhD in Computer Science from University at Buffalo and has a track record of publishing in top venues (ICCV, ECCV, TPAMI) on topics from weakly-supervised temporal action localization to deepfake detection. Yuanhao has transitioned from strong academic foundations and multiple research internships into industry research roles at Microsoft, Amazon, and now Meta, where he focuses on image and video generative models and efficient video diffusion techniques. He combines practical system-minded work—such as accelerating video diffusion sampling and proposing motion consistency models—with a rigorous emphasis on robustness and weak supervision. Colleagues describe him as a curious coder who steadily deepens expertise across both algorithmic innovation and applications in media forensics.
10 years of coding experience
3 years of employment as a software developer
Exchange Student, Computer Science, Exchange Student, Computer Science at University of California, Berkeley
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University at Buffalo
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Xi'an Jiaotong University
Contributions:23 commits, 17 PRs, 62 pushes in 1 year
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