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Chao Zhang is an Assistant Professor in the School of Computational Science and Engineering at Georgia Institute of Technology. His research spans data mining, machine learning, and natural language processing, aiming to enable machines to understand text data in a label-efficient and robust manner in open-world settings. His specific research topics include weakly-supervised learning, out-of-distribution generalization, interpretable machine learning, and knowledge extraction and reasoning. He has received numerous accolades for his work, including the Google Faculty Research Award, Amazon AWA Machine Learning Research Award, ACM SIGKDD Dissertation Runner-up Award, IMWUT Distinguished Paper Award, and the ECML/PKDD Student Paper Runner-up Award. Before joining Georgia Tech, he obtained his Ph.D. degree in Computer Science from the University of Illinois at Urbana-Champaign in 2018.
Department of Computer Science: GRE scores are optional for Fall 2026.