Sheng Liu 刘晟

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About Me

  • I am a Ph.D. student in the Center for Data Science at New York University.

  • My research interests lie in general area of machine learning, particularly in robust deep learning with imperfect datasets (corrupted data, limited supervision, small data, etc.) as well as their applications in medicine such as Alzheimer’s automatic detection. I am also a member of the Math and Data (MAD) group at NYU where I work on inverse problems and optimization. Out of school, I love playing tennis, scuba diving, surfing and any water sports.


Academic Services

  • Conference Reviewer: NeurIPS 2020, ICLR 2021, ICML 2021, NeurIPS 2021, ICLR 2022, ICML 2022.
  • Journal Reviewer: Journal of Machine Learning Research (JMLR), Transactions of Machine Learning Research (TMLR).