Jiazhi Yang
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolJiazhi Yang is a PhD researcher in information engineering focused on autonomous driving, embodied AI, and computer vision, with six years of research experience bridging world models and robotics. He has co-authored multiple high-impact papers including CVPR Best Paper (UniAD, 2023) and a CVPR Highlight Paper (GenAD, 2024), and leads work on high-fidelity, controllable driving world models (Vista). Based in Shanghai and affiliated with CUHK and the Shanghai AI Lab, he combines theoretical modeling with practical system-building for predictive driving pipelines. Notably, his research emphasizes planning-oriented and generalized predictive approaches, moving beyond perception to actionable, controllable driving representations.
6 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Information Engineering, Doctor of Philosophy - PhD, Information Engineering at 香港中文大学
Github Skills (90)
benchmark10
python10
toolbox10
3d-object-detection10
instance-segmentation10
vision-transformer10
faster-rcnn10
autonomous-driving10
face10
openmmlab10
mask-rcnn10
ai10
kitti-dataset10
object-detection10
lightning10
Programming languages (2)
Github contributions (5)
YTEP-ZHI/YTEP-ZHI.github.io
Aug 2020 - Feb 2021
Contributions:90 pushes, 1 branch in 6 months
OpenDriveLab/UniAD
Dec 2022 - Dec 2022
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
Contributions:1 release, 7 reviews, 3 commits in 1 day
roboticsautonomousgoalcomputer-visionmulti-object-tracking
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