Summary
Yunsheng Jiang is a Senior Research Lead with eight years of experience applying computer vision and NLP to multimedia problems, currently leading Hulu’s Content Intelligence team in Beijing. He builds content embeddings, tagging systems, and content-based recommendation pipelines that power video understanding at scale, with a track record of productionizing opening/recap detection, end-credits recognition, and scene-level tagging. Holding a Ph.D. in Applied Mathematics from Peking University, he blends rigorous mathematical foundations with practical engineering to solve noisy, real-world media analysis challenges. His background spans internships at Intel, Samsung, Alibaba, and ArcSoft, giving him deep exposure to image search and algorithm development across industry labs. Colleagues describe him as a researcher who translates advanced models into reliable content collections and tooling that improve recommendation and ad targeting performance. He often pairs classical signal-processing insights with modern representation learning to tackle subtle video semantics that typical pipelines miss.
7 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at Peking University
Bachelor’s Degree, Applied Mathematics, Bachelor’s Degree, Applied Mathematics at Dalian University of Technology