Researcher

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

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. By 2026

    From NVIDIA to ARI

    By 2026, he moves from NVIDIA research on foundation models to co-founding Assured Robot Intelligence.

  6. May 2026

    Meta acquires ARI

    In May 2026, Meta acquires Assured Robot Intelligence (ARI), where he is co-founder and CTO.

  7. 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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  1. Unsupervised Learning of Visual Representations using Videos arxiv.org. Checked 15 October 2026.
  2. Non-Local Neural Networks openaccess.thecvf.com. Checked 15 October 2026.
  3. Xiaolong Wang xiaolonw.github.io. Checked 15 October 2026.
  4. Xiaolong Wang | Jacobs School of Engineering jacobsschool.ucsd.edu. Checked 15 October 2026.
  5. Xiaolong Wang Awarded 2024 J.K. Aggarwal Prize jacobsschool.ucsd.edu. Checked 15 October 2026.
  6. J. K. Aggarwal Prize – International Association for Pattern Recognition iapr.org. Checked 15 October 2026.
  7. Meta buys robotics startup to bolster its humanoid AI ambitions | TechCrunch techcrunch.com. Checked 15 October 2026.