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Jiajun Wu

Assistant Professor
Computer Science Department
Stanford University
Email: jiajunwu [at] cs (dot) stanford (dot) edu

Google Scholar / DBLP / Stanford Profiles

I am an Assistant Professor of Computer Science at Stanford University, affiliated with the Stanford AI Lab (SAIL) and the Stanford Vision and Learning Lab (SVL). I study machine perception, reasoning, and interaction with the physical world, drawing inspiration from human cognition. Here is some information for prospective students and visitors.

Thank you for your interest in joining my group! Due to the large number of emails I receive, I cannot respond to every email individually. Please review the information below before contacting me. Thanks.

Current Stanford students: please fill out this form. For MS students and undergraduates, the minimum time commitment is 15 hours per week for six months.

Prospective postdocs and visiting graduate students: please email me directly with your CV. For visiting graduate students, the minimum length of a research visit is six months.

Prospective graduate students who are not currently at Stanford: please apply through the system and list me as a potential advisor in your application. There is no need to contact me, unless you have a particular research question/idea that you would like to discuss further. If you email me, please describe the research question concretely, and include your CV, transcript, and no more than one published paper.

Before joining Stanford, I was a Visiting Faculty Researcher at Google Research, New York City, working with Noah Snavely. I finished my PhD at MIT, advised by Bill Freeman and Josh Tenenbaum, and my undergraduate degrees at Tsinghua University, working with Zhuowen Tu.

Group

Postdocs
PhD Students
Alumni
  • Yunzhu Li (post-doc 2023, with Fei-Fei Li), Assistant Professor, University of Illinois Urbana-Champaign
  • Ruohan Gao (post-doc 2023, with Fei-Fei Li and Silvio Savarese), Assistant Professor, University of Maryland, College Park
  • Sumith Kulal (PhD 2023, with Alex Aiken), Research Scientist, Stability AI
  • Huazhe Xu (post-doc 2022), Assistant Professor, Tsinghua University

Talks

Research Overview (Jan 2023) Naturally Supervised Vision (July 2022) Multi-Sensory Neural Objects (Oct 2022)

Publications (show selected / show all by date / show all by topic)

Year: 2024 / 2023 / 2022 / 2021 / 2020 / 2019 / 2018 / 2017 / 2016 / 2015 / 2014 and before
Current Research Topics: Physical Scene Understanding / Dynamics Models / Neuro-Symbolic Visual Reasoning / Generative Visual Models / Multi-Modal Perception; Past Research Topic: Weakly-Supervised Learning
(* and † indicate equal contribution or alphabetical order)