PeopleofSuperintelligence

Researcher

Yifan Jiang

Also known as 江亦凡

Yifan Jiang is a computer vision researcher whose work spans interpretable vision transformers, neural rendering, and generative image and video models. He earned a bachelor's degree from Huazhong University of Science and Technology and completed a PhD at UT Austin's VITA Group under Zhangyang Wang. He coauthored IA-RED², SinNeRF, AligNeRF, Efficient-3DiM, and STIV, a method for text-and-image-conditioned video generation. He is a senior research scientist at Meta Superintelligence Lab, where he works on personalized generative intelligence.

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Timeline

  1. 2019

    A PhD at UT Austin

    He earns a bachelor's degree from Huazhong University of Science and Technology before joining UT Austin's VITA Group for a PhD in fall 2019.

  2. 2021

    Reducing redundant vision patches

    IA-RED², coauthored by him in 2021, introduces an interpretable module to dynamically drop redundant image patches in vision transformers.

  3. 2022

    Neural rendering from one image

    In 2022, he coauthors SinNeRF, which trains a neural radiance field for a complex scene from a single image.

  4. 2023

    An Apple AI/ML fellowship

    A fourth-year PhD student in UT Austin's Chandra Family Department of Electrical and Computer Engineering, he receives an Apple Scholars in AI/ML PhD fellowship in 2023 under Zhangyang Wang's supervision. His research interests include generative models, neural rendering, and computational photography.

  5. 2023

    High-fidelity neural fields

    At CVPR in 2023, he coauthors AligNeRF, which uses alignment-aware training for high-fidelity neural radiance fields.

  6. 2024

    PhD and novel-view synthesis

    He completes a PhD at UT Austin's VITA Group under Zhangyang Wang in summer 2024. He coauthors Efficient-3DiM, an ICLR 2024 method for generalizable single-image novel-view synthesis.

  7. August 2025

    Generating video from text and images

    At Apple, he coauthors STIV in August 2025, a video-generation method that combines image conditioning with text in a Diffusion Transformer. He does this work while at Apple.

  8. As of October 2026

    Research at Meta Superintelligence Lab

    As a senior research scientist at Meta Superintelligence Lab, he works on personalized generative intelligence.

Career

  1. NowMetaSenior research scientist

Education

  1. 2024University of Texas at AustinPhD
  2. Huazhong University of Science and TechnologyBachelor's degree

From the biography.

  1. 16% of AI career moves in the 2020s went from a university to a companyIncludes Yifan Jiang. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Meta. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes Meta. Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.
  4. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Meta. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.

Sources and credits

Photo: We have no published photo of Yifan Jiang yet. Send us a free-licensed photo.

  1. Yifan Jiang yifanjiang19.github.io. Checked 22 October 2026.
  2. Team | VITA Group vita-group.space. Checked 22 October 2026.
  3. IA-RED²: Interpretability-Aware Redundancy Reduction for Vision Transformers papers.nips.cc. Checked 22 October 2026.
  4. SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image arxiv.org. Checked 22 October 2026.
  5. Yifan Jiang Receives 2023 Apple Scholars in AI/ML PhD Fellowship | Texas ECE ece.utexas.edu. Checked 22 October 2026.
  6. AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training yifanjiang19.github.io. Checked 22 October 2026.
  7. Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day proceedings.iclr.cc. Checked 22 October 2026.
  8. STIV: Scalable Text and Image Conditioned Video Generation - Apple Machine Learning Research machinelearning.apple.com. Checked 22 October 2026.