Xinchen Yan
Senior Research Scientist at Waymo
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolXinchen Yan is a Senior Research Scientist in San Francisco with 11 years of experience at the intersection of deep representation learning and generative modeling, currently leading data-driven sensor and perception simulation efforts at Waymo. He has a strong track record across industry research labs—Waymo, Uber ATG, Google Brain/X, and Adobe Research—and a Ph.D. in Machine Learning from the University of Michigan. His work spans controllable visual and 3D content generation, weakly-supervised shape and motion learning, and scalable perception simulation for robotics, with papers in CVPR, ECCV, CoRL and IROS. Xinchen has driven practical ML-based simulation systems (e.g., GeoSim) and neural-field approaches that bridge photorealistic rendering and robust multi-sensor perception. He combines deep theoretical expertise with production-focused research, often translating ideas into public papers and internal systems used for autonomous driving research.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Machine Learning, Doctor of Philosophy (Ph.D.), Machine Learning at University of Michigan - Rackham Graduate SchoolShanghai Jiao Tong University
Github Skills (82)
python10
matconvnet10
deep-learning10
ml10
neural-network10
data-science10
tensorflow10
machine-learning10
deep-neural-networks10
face9
libtorch9
skeleton8
matlab8
audio8
siggraph8
Programming languages (6)
Github contributions (5)
xcyan/eccv16_attr2img
Jun 2016 - Feb 2019
Contributions:41 commits, 7 pushes, 7 comments in 2 years 9 months
xcyan/eccv18_mtvae
Aug 2018 - Jun 2021
Contributions:37 commits, 12 pushes, 2 comments in 2 years 11 months
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