Peiyuan Zhang is the first author of two video-generation papers from UC San Diego's Hao AI Lab, Sliding Tile Attention and VSA (Video Sparse Attention), which the FastVideo README asks users to cite. Zhang was a PhD student in the lab who left with a master's degree, and the lab's alumni list shows Zhang now at ByteDance.1234
At a glance
- Current role
- Works at ByteDance (title not stated)
- Company
- ByteDance
- Sector
- Company
- Education
- UC San Diego
- Work listed
- 1
- Sources cited
- 5
- Profile reviewed
Research
With Hao Zhang and co-authors, Zhang posted "Fast Video Generation with Sliding Tile Attention" in February 2025 and "VSA: Faster Video Diffusion with Trainable Sparse Attention" in May 2025, both as first author. Both methods target the cost of attention in video diffusion models.12
The FastVideo README records the release of Sliding Tile Attention inference code in February 2025 and VSA fine-tuning and inference code in June 2025, and asks users of the framework to cite both papers.3
Career
Zhang was a PhD student in the Hao AI Lab at UC San Diego and left the program with a master's degree. The lab's people page and Hao Zhang's site list Zhang among alumni now at ByteDance.45
Work and contributions
Timeline
Other documented roles
Roles the sources document that are not confirmed as current.
- PhD student in the Hao AI Lab (left with a master's degree), University of California San Diego45
Where they work
- ByteDance 1 person in the wiki
Related people
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- Patrick von PlatenImage, video, and 3D generation · Inference and serving
- Hao ZhangInference and serving · Image, video, and 3D generation
- Olivier ChafikInference and serving
- Gavin UbertiInference and serving
- Károly Zsolnai-FehérImage, video, and 3D generation
- Richard KerrisImage, video, and 3D generation
- Dylan PatelInference and serving
- Adrien GallouëtInference and serving
- Tero KarrasImage, video, and 3D generation
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References
5 sources · profile reviewed Oct 22, 2026 · data updated Oct 22, 2026