Jianyu Zhang
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Welcome
Welcome
I am a Research Scientist at Meta FAIR Lab. I got my Ph.D. from NYU Data Science advised by Leon Bottou and Yann LeCun. I have broad research interests in machine learning, representation learning and out-of-distribution generalization. Recently, I am interested in the learning principles to build AI for the open-world. AI for the open-world aims at solving any task that a human could possibly undertake. That is, a wide range of tasks with fewer examples and less priori knowledge from human designers. I explores three such learning principles, inluding rich features, disentangled representation, and inference-time learning to support each of the three requirements above.
Education
Education
Ph.D., Data Science, New York University, Sep. 2020 - Aug. 2025
M.S., Computer Science, Tianjin University, Sep. 2016 - Jan. 2019
B.S., Computer Science, Tianjin University, Sep. 2012 - July. 2016
Experiences
Experiences
Research Scientist, Meta FAIR Lab, Aug 2025 - present
Visiting Researcher, Meta FAIR Lab, Sep 2023 - Aug 2025
Research Scientist Intern, Meta FAIR Lab, May 2023 - Aug 2023
Research Intern (AI), Meta FAIR Lab, May 2022 - Oct 2022
Research Intern, Facebook FAIR lab, April 2019 - Aug 2019
Research Assistant, Sorbonne University, Jan 2019 - Mar 2019
Research Intern, Laboratories Hubert Curien, Sep 2017 - Oct 2017
News
News
Thanks Léon Bottou, Yann Lecun, Kyunghyun Cho, Joan Bruna, Alfredo Canziani.
April 11, 2025
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