Xiaolong Wang
Xiaolong Wang is a computer vision researcher whose work studies representation learning through videos and physical robot data. He earned a doctorate at Carnegie Mellon’s Robotics Institute and joined UC San Diego as an assistant professor in 2020. His early papers used unlabeled videos to learn visual representations and introduced non-local operations for capturing long-range dependencies. IAPR awarded him the 2024 Aggarwal Prize for visual representation learning. He researched foundation models at NVIDIA, co-founded Assured Robot Intelligence, and is Research Director at Meta Superintelligence Labs as of October 2026, where he co-leads frontier model work for embodied AI.
- Works
- 257
Publication numbers from OpenAlex, as of 15 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.
Timeline
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2015
Learning from unlabeled videos
In 2015, he and Abhinav Gupta introduce a method for learning visual representations from unlabeled web videos, using visual tracking as supervision.
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2018
Non-local neural networks
In 2018, he and three coauthors publish “Non-Local Neural Networks,” which introduces non-local operations as building blocks for capturing long-range dependencies.
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2020
Joining UC San Diego
With a doctorate from Carnegie Mellon’s Robotics Institute, he joins UC San Diego’s Department of Electrical and Computer Engineering as an assistant professor in 2020. His research explores representation learning through videos and physical robotic interaction data.
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2024
The Aggarwal Prize
In 2024, IAPR awards him the Aggarwal Prize for work on visual representation learning with self-supervised and attention-based models.
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By 2026
From NVIDIA to ARI
By 2026, he moves from NVIDIA research on foundation models to co-founding Assured Robot Intelligence.
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May 2026
Meta acquires ARI
In May 2026, Meta acquires Assured Robot Intelligence (ARI), where he is co-founder and CTO.
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As of October 2026
Research Director at Meta
As of October 2026, he is a Research Director at Meta Superintelligence Labs and co-leads work on frontier models for embodied AI.
Sources and credits
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- Unsupervised Learning of Visual Representations using Videos
- Non-Local Neural Networks
- Xiaolong Wang
- Xiaolong Wang | Jacobs School of Engineering
- Xiaolong Wang Awarded 2024 J.K. Aggarwal Prize
- J. K. Aggarwal Prize – International Association for Pattern Recognition
- Meta buys robotics startup to bolster its humanoid AI ambitions | TechCrunch