AI Research Scientist
Meta TBD Labs
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I am a AI Research Scientist at Meta TBD Labs, where I work on multimodal interaction models.
Previously, I was a founding member at World Labs,
leading its research efforts on World Models and developing its large-scale pretraining infra.
I received my Ph.D. at the University of Washington in 2024,
co-advised by Ira Kemelmacher-Shlizerman,
Steven Seitz and
Brian Curless.
I was a student researcher at Google from 2022 to 2024, during which my virtual try-on projects were published and
launched as products.
Before that, I obtained my B.S. degree at Peking University in 2018,
advised by Prof. Yizhou Wang.
Core contributor to the post-training of realtime interaction models.
First author of TryOnDiffusion (CVPR 2023), which powered the launch of Virtual Try-On (VTO) for Shopping on Search.
First author of M&M VTO (CVPR 2024). The underlying technology powered several product launches at Google, including one presented at Google I/O 2025.
Publications
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Fashion-VDM: Video Diffusion Model for Virtual Try-On
[paper]
SIGGRAPH Asia 2024 |
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M&M VTO: Multi-Garment Virtual Try-On and Editing
[paper]
CVPR, 2024 (Highlight) |
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TryOnDiffusion: A Tale of Two UNets
[paper]
CVPR, 2023 |
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RGB-D Local Implicit Function for Depth Completion of Transparent Objects
[paper]
[code]
CVPR, 2021 |
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Reconstructing NBA players
[paper]
[code]
[dataset]
ECCV, 2020 (Spotlight Presentation) |
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Learning to Estimate 3D Human Pose and Shape from a Single Color Image
[paper]
CVPR, 2018 Invited to 3D HUMANS, CVPR Workshop, 2018 (Best Poster Award) |