Yuliang Zou

Senior Research Scientist at Waymo

Mountain View, California, United States
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Summary

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Senior
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Top School
Yuliang Zou is a Senior Research Scientist at Waymo with a decade of experience applying 3D perception and generative AI techniques to autonomous driving. With a Ph.D. in machine perception from Virginia Tech and internships at Adobe, NEC Labs, Google, and Waymo, he bridges rigorous academic research and real-world perception systems. His work spans geometry understanding, human-centric action recognition, and data-efficient learning, with publications at ECCV, BMVC, and CVIU. Based in Mountain View, he has repeatedly transitioned research prototypes into practical perception improvements for self-driving stacks. An often-overlooked strength is his recurring role as both mentor and implementer during internships and teaching, which helps him translate complex papers into production-ready solutions.
code10 years of coding experience
job9 years of employment as a software developer
bookHigh School Diploma Science, High School Diploma Science at Guangzhou Zhixin High School
bookMaster of Science (M.S.E) Electrical and Computer Engineering, Master of Science (M.S.E) Electrical and Computer Engineering at University of Michigan
bookDoctor of Philosophy (Ph.D.) Computer Engineering - Machine Perception, Doctor of Philosophy (Ph.D.) Computer Engineering - Machine Perception at Virginia Tech
bookBachelor of Engineering (B.Eng.) Information & Communication Engineering, Bachelor of Engineering (B.Eng.) Information & Communication Engineering at Zhejiang University
languagesChinese, English, Chinese
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Stackoverflow

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Github Skills (73)

python10
radiance10
semi-supervised-learning10
deep-learning10
gpu10
vision-transformer10
depth-estimation10
neural-rendering10
visual-odometry10
neural-network10
object-detection10
computer-vision10
tensorflow10
machine-learning10
action-recognition10

Programming languages (6)

C++ShellTeXLuaJupyter NotebookPython

Github contributions (5)

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vt-vl-lab/video-data-aug

Mar 2021 - Jul 2021

Learning Representational Invariances for Data-Efficient Action Recognition
Contributions:6 commits, 1 PR, 4 pushes in 3 months
action-recognitiondata-efficientdata-augmentationsemi-supervised-learning
vt-vl-lab/cluster

Aug 2017 - Mar 2022

Instructions for using clusters at Virginia Tech
Contributions:74 commits, 67 pushes, 2 comments in 4 years 7 months
clustersinstructionskubernetesvirginia
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