Sheng Liu

Sheng Liu

Ph.D. student at Center for Data Science, NYU

Sheng Liu 刘晟

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About Me

  • I am a Postdoctoral Researcher at Stanford University. I obtained my PhD in Data Science at Center for Data Science at New York University.

  • My research interests lie in general area of machine learning, particularly in large language model, multi-modal foundation models, learning with imperfect datasets (corrupted data, limited supervision, small data, etc.) as well as their applications in medicine and biology. When I was at NYU, I was a member of the Math and Data (MAD) group where I worked on inverse problems and optimization. I love playing tennis, scuba diving, surfing and any water sports.

  • Check out more information from my CV and research statement

  • I defended my PhD and graduated from NYU this summer! defense

  • I am now at Stanford University as a postdoctoral research fellow co-advised by Prof. James Zou and Prof. Lei Xing.

  • Pronouns: he/him/his


Academic Services

  • Conference Reviewer: NeurIPS 2020-2023, ICLR 2021-2023 ICML 2021-2023.
  • Journal Reviewer: Journal of Machine Learning Research (JMLR), Transactions of Machine Learning Research (TMLR), Transactions on Pattern Analysis and Machine Intelligence (TPAMI).