Chao Zhang

I am a final-year Ph.D. student at the Computer Science Department of UIUC, advised by Prof. Jiawei Han. My research falls in the area of data mining and machine learning. The long-term goal of my research is to enable machines to acquire knowledge from data and make intelligent predictions faster, more accurately, and with less supervision. My current work has a particular emphasis on spatiotemporal data mining, time series analysis, text mining, deep learning, and multimodal learning. Please check out this page to find more about my research.

Notice: I will be joining School of Computational Science and Engineering at Georgia Tech as an assistant professor from December 2018. I am looking for motivated students to work with me on data mining and machine learning. Please send me an email if you are interested.


  • 2018.05: Three papers are accepted by KDD’18 (Research Track).

  • 2018.04: Our tutorial “Towards Multidimensional Analysis of Text Corpora” is accepted by KDD’18.

  • 2018.03: Serving on the PC of the GIScience 2018 Workshop "Spatial Big Data and Machine Learning. CFP.

  • 2018.02: Our paper “Deep Learning for the Internet of Things” is accepted by IEEE Computer.

  • 2018.01: Serving on the Program Committee of IJCAI’18 and KDD’18 (Research Track).

  • 2017.12: One paper is accepted by WWW’18.

  • 2017.11: Invited as an Illinois Innovator to talk about event detection on Illinois Podcast, available on SoundCloud and iTunes.

  • 2017.11: Serving on the Program Committee (Machine Learning Track) of ACL’18.

  • 2017.11: Two papers are accepted by AAAI’18.

  • 2017.10: Check out our Urbanity system (paper) for predicting spatiotemporal activities with social media.

  • 2017.10: We give a tutorial on “Space and Time Coupled Social Media Analysis” (slides) in CIKM’17.

  • 2017.09: Check out the report from IT Business about our work on event detection from social media.

  • 2017.04: We give a tutorial on “Bringing Semantics to Spatiotemporal Data Mining” (slides) in ICDE’17.

Recent Publications


  • Email:

  • Office: 1119 Siebel Center