Cho-Jui Hsieh

I am an associate professor of Computer Science at UCLA. I was a Ph.D. student at UT Austin working with Prof. Inderjit Dhillon. I received my master degree in National Taiwan University under supervision of Prof. Chih-Jen Lin. Before joining UCLA, I have worked as an Assistant Professor at UC Davis Computer Science and Statistics for three years, and was a visiting scholar in Google since summer 2018.

I am interested in developing new algorithms and optimization techniques for large-scale machine learning problems. Currently, I am working on developing new machine learning models as well as improving the model size, training speed, prediction speed, and robustness of popular (deep learning) models.
My recent research interests can be found in Research Page.

Email: Office: EVI 482 Curriculum Vitae Google Scholar Profile


Selected Awards

  • Okawa Research Award, 2021
  • Outstanding Paper Award, ICLR 2021
  • Google Research Scholar Award, 2021
  • NSF Career Award, 2021
  • Samsung AI Researcher of the Year, 2020
  • Best paper award honorable mention, Recsys 2020
  • Best paper award candidate, ICDM 2019
  • Best student paper award finalist, SC 2019
  • Best paper award, ICPP 2018
  • Best paper finalist, AISec 2017
  • Best paper award, ICDM 2012
  • Best paper award, KDD 2010
  • IBM PhD fellowship, 2013-2015

Slides and Tutorials

  • Tutorial on Neural Network Verification [website]
  • Recent Advances in Neural Architecture Search [slides and video]

PhD Students

Former PhD Students

  • Minhao Cheng (Assistant Professor, Department of Computer Science and Engineering, HKUST)
  • Yao Li (Assistant Professor, Department of Statistics and Operations, UNC Chapel Hill)