Ye Yuan
Ye Yuan is a robotics researcher whose work spans human motion and AI systems for 3D avatars and humanoid control. He earned a B.E. from Zhejiang University in 2015, an M.S. from Carnegie Mellon in 2016, and a robotics Ph.D. there in 2022; NVIDIA named him a 2021 Graduate Fellow, and he joined NVIDIA Research as a Research Scientist in May 2022. His work includes PhysDiff's physics-guided human-motion diffusion, GAvatar and SimAvatar's text-driven 3D avatars, and SONIC's humanoid whole-body control. As of October 2026, he is a Staff Research Scientist and Tech Lead in NVIDIA Research's DAIR and LPR teams.
Timeline
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2015–2016
Degrees at Zhejiang and CMU
He earns a B.E. in computer science and technology from Zhejiang University in 2015 and an M.S. in computer science at CMU in 2016, where he works with Stelian Coros.
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2021
An NVIDIA Graduate Fellowship
In 2021, NVIDIA names him a Graduate Fellow at Carnegie Mellon University.
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April 2022
Robotics Ph.D. at CMU
In April 2022, he defends his robotics Ph.D. thesis, Unified Simulation, Perception, and Generation of Human Behavior, at Carnegie Mellon under Kris Kitani.
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May 2022
Joining NVIDIA Research
He joins NVIDIA Research as a Research Scientist in May 2022.
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2023
PhysDiff motion diffusion
He coauthors PhysDiff, a 2023 ICCV paper that uses physics-based motion projection to guide a diffusion model toward physically plausible human movement.
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2024
GAvatar text-to-avatar model
In 2024, he is first author of GAvatar, which generates animatable 3D Gaussian avatars from text prompts and extracts detailed meshes using implicit learning.
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2025
Simulation-ready Gaussian avatars
He coauthors SimAvatar, a 2025 CVPR framework for generating simulation-ready clothed human avatars from a text prompt.
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As of October 2026
Staff scientist and tech lead
In December 2025, NVIDIA's DAIR group releases SONIC, a generalist humanoid controller. In 2026, he co-first authors its Science Robotics paper, which scales motion tracking to produce natural, robust whole-body humanoid movements. As of October 2026, he is a Staff Research Scientist and Tech Lead in NVIDIA Research's DAIR and LPR teams.
Career
- Since 2022NVIDIAResearch Scientist
Education
- 2022Carnegie Mellon UniversityM.S.
- 2015Zhejiang UniversityB.E.
Sources and credits
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