Cho-Jui Hsieh is an assistant professor of Computer Science at UCLA since Fall 2018. Cho-Jui Hsieh was a Ph.D. student at UT Austin working with Prof. Inderjit Dhillon. He worked closely with Prof. Pradeep Ravikumar. He received his masters degree in National Taiwan University under supervision of Prof. Chih-Jen Lin. Before joining UCLA, Cho-Jui Hsieh 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. Cho-Jui Hsieh is interested in developing new algorithms and optimization techniques for large-scale machine learning problems. Currently, he is 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.
Deep Learning
Machine Learning
Parallel Programming Languages, Libraries, and Models
Scalable Computing
Sparse Computation
BSP Finalist
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