Chao Zhang

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Assistant Professor
School of Computational Science and Engineering
College of Computing
Georgia Institute of Technology

Office: CODA 1309
Address: 756 W Peachtree St NW, Atlanta, GA

Welcome to my homepage! I am an Assistant Professor at the School of Computational Science and Engineering at Georgia Tech. Before joining Georgia Tech, I received my Ph.D. in Computer Science from UIUC in 2018, where I worked with Prof. Jiawei Han.


My research has been centered around how to make machine learning more label-efficient, uncertainty-aware, and explainable. I work a lot with both unstructured data (e.g., text, spatiotemporal data) and structured data (e.g., graphs). And lately, I become very interested in using data mining and machine learning to analyze such data arising from scientific domains to accelerate scientific discovery, especially for material science and biomedical science. More broadly, I am interested in any intelligent systems that can augment human expertise for completing tasks and making decisions. Below are some research projects I do/did:


  • [Pinned] Check out my book Multidimensional Mining of Massive Text Data published by Morgan & Claypool, also available on Amazon.
  • Multiple papers accepted by KDD'20 and ICML'20.
  • Multiple papers accepted by EMNLP'20, and NAACL'21.
  • Congrats to my student Wendi Ren for winning the Marshall D. Williamson Fellowship.
  • Grateful to receive the 2020 Amazon Faculty Award.
  • Thanks to NSF for supporting our research on using transformers for sequential data.
  • Grateful to receive the 2020 Google Faculty Research Award.
  • Two papers accepted by the Web Conference 2020.
  • Honored to receive the ACM SIGKDD 2019 Dissertation Runner-up Award.


(* denotes equal contribution)











  • 2020 Amazon AWS Machine Learning Research Award
  • 2020 Google Faculty Research Award
  • 2019 ACM SIGKDD Dissertation Award Runner-up
  • 2018 ACM IMWUT Distinguished Paper Award
  • 2015 ECML/PKDD Best Student Paper Runner-up Award
  • 2013 Chiang Chen Overseas Graduate Fellowship


  • SDE-Net: Efficient uncertainty estimation for deep neural networks
  • BOND: Distantly-supervised named entity recognition
  • STEAM: Automatic taxonomy expansion
  • TaxoGen: Unsupervised topic taxonomy construction from text corpus
  • WestClass: Weakly-supervised text classification
  • GeoBurst: Unsupervised spatiotemporal event detection from social media streams



  • Ph.D. Students:
    • Lingkai Kong
    • Rui Feng
    • Yue Yu
    • Yinghao Li
    • Rongzhi Zhang
    • Yuchen Zhuang
    • Yanbo Xu
  • Master Students:
    • Isaac Rehg
    • Ruijia Wang
  • Alumni:
    • Wendi Ren
    • Yi Rong