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.

News

• 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

• TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams
  Chao Zhang, Liyuan Liu, Dongming Lei, Quan Yuan, Honglei Zhuang, Tim Hanratty, and Jiawei Han
  ACM SIGKDD Conference on Knowledge Discovery and Pattern Mining (KDD), 2017
  

• ReAct: Online Multimodal Embedding for Recency-Aware Spatiotemporal Activity Modeling
  Chao Zhang, Keyang Zhang, Quan Yuan, Fangbo Tao, Luming Zhang, Tim Hanratty, and Jiawei Han
  ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017
  

• Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning
  Chao Zhang, Keyang Zhang, Quan Yuan, Haoruo Peng, Yu Zheng, Tim Hanratty, Shaowen Wang, and Jiawei Han
  International World Wide Web Conference (WWW), 2017
  

• GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams
  Chao Zhang, Guangyu Zhou, Quan Yuan, Honglei Zhuang, Yu Zheng, Lance Kaplan, Shaowen Wang, Jiawei Han
  ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016
  

• GMove: Group-Level Mobility Modeling Using Geo-Tagged Social Media
  Chao Zhang, Keyang Zhang, Quan Yuan, Luming Zhang, Tim Hanratty, and Jiawei Han
  ACM SIGKDD Conference on Knowledge Discovery and Pattern Mining (KDD), 2016
  

• Splitter: Mining Fine-Grained Sequential Patterns in Semantic Trajectories
  Chao Zhang, Jiawei Han, Lidan Shou, Jiajun Lu, Thomas La Porta
  International Conference on Very Large Data Bases (VLDB), 2014
  

Contact

• Email: czhang82@illinois.edu

• Office: 1119 Siebel Center