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Saining Xie

Co-founder and CSO of AMI Labs and NYU assistant professor; co-creator of DiT and co-author of ConvNeXt

  • Co-founder and Chief Science Officer (CSO), AMI Labs1
  • Assistant Professor, Courant Institute, New York University1

Saining Xie is the co-founder and Chief Science Officer of AMI Labs and an Assistant Professor at NYU's Courant Institute. Xie was previously a research scientist at Google DeepMind on the GenAI team and, before that, spent four years as a research scientist at Facebook AI Research (FAIR). Xie co-created diffusion transformers (DiT) with William Peebles and is a co-author of ConvNeXt, MoCo, and Masked Autoencoders; recent work from Xie's group includes Cambrian, a project on multimodal models across images and video.12467

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Other documented roles

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This profile covers public professional work only, from the sources below. It is not an endorsement or a ranking. To correct or remove it, use the correction form.

Sources · reviewed Oct 13, 2026

  1. 1.
    Saining Xie — homepage (external site: sainingxie.com)

    Saining Xie · Official page · accessed Oct 13, 2026

  2. 2.
    Scalable Diffusion Models with Transformers (arXiv 2212.09748) (external site: arxiv.org)

    arXiv · Paper · published Dec 19, 2022 · accessed Oct 13, 2026

  3. 3.
    facebookresearch/DiT README (external site: github.com)

    Meta (GitHub repository) · Repository · accessed Oct 13, 2026

  4. 4.
    A ConvNet for the 2020s (arXiv 2201.03545) (external site: arxiv.org)

    arXiv · Paper · published Jan 10, 2022 · accessed Oct 13, 2026

  5. 5.
    facebookresearch/ConvNeXt README (authors and MIT license) (external site: github.com)

    Meta (GitHub repository) · Repository · accessed Oct 13, 2026

  6. 6.
  7. 7.
    Masked Autoencoders Are Scalable Vision Learners (arXiv 2111.06377) (external site: arxiv.org)

    arXiv · Paper · published Nov 11, 2021 · accessed Oct 13, 2026

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