Xiaolong Wang

Research Director at UC San Diego

California, United States
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Summary

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Senior
🎓
Top School
Xiaolong Wang is a research director and academic leader with a decade of experience at the intersection of computer vision, machine learning, and robotics, currently splitting roles between Meta Superintelligence Labs and UC San Diego. He builds self-supervised 3D and dynamics representations from video and robotic interaction data to enable generalized, real-world robotic manipulation, and his work spans video understanding, common-sense reasoning, RL, and dexterous hands. A CMU PhD and former NVIDIA researcher and startup co-founder (Acquired by Meta), he combines rigorous academic research with product-minded research translation. His projects emphasize leveraging language and innate supervision signals to teach robots robust skills—an approach reflected in collaborations across visual computing and contextual robotics institutes. Notably, he has contributed foundational work on temporal cycle-consistency and non-local neural networks during internships at Berkeley and Facebook, signaling a long track record of influential research.
code10 years of coding experience
job6 years of employment as a software developer
bookMaster’s Degree, Computer Science, Master’s Degree, Computer Science at Sun Yat-sen University
bookBachelor of Engineering - BE, Bachelor of Engineering - BE at South China Agricultural University
bookDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Carnegie Mellon University
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Github Skills (26)

3d-reconstruction10
photogrammetry9
3d-graphics9
3d9
deep-learning9
nonlinear-optimization9
computer-vision8
pose-estimation8
machine-learning8
convolutional-neural-networks8
pytorch8
tensorflow7
collaboration6
cuda5
segmentation5

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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dragonlong/armbeta

Jul 2018 - Nov 2018

Contributions:4 commits, 3 pushes, 1 branch in 4 months
dragonlong/articulated-pose

Dec 2019 - Apr 2021

[CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation
Contributions:12 commits, 12 pushes, 1 branch in 1 year 4 months
pose-estimationpointnet2articulated-objectstensorflowjoint-regression
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