Chao ZHANG

 

Ph.D. Candidate

Data Mining Research Group
Department of Computer Science
University of Illinois at Urbana-Champaign

Email: czhang82 AT illinois DOT edu

Short Bio

I am a Ph.D. student under the supervision of Prof. Jiawei Han at the Data Mining Research Group, UIUC. My researh interest falls in area of data management and mining, with a focus on spatiotemporal data mining and information network analysis. Prior to joining UIUC, I obtained my B.Eng. degree in 2010 and M.Eng. degree in 2013, both in Computer Science and from Zhejiang University. For more detailed personal information, please refer to my CV.

Publications

  1. Group-Level Mobility Modeling Using Geo-Tagged Social Media.
    Chao Zhang, Keyang Zhang, Quan Yuan, Luming Zhang, Tim Hanratty, Jiawei Han.
    The 22nd ACM SIGKDD Conference on Knowledge Discovery and Pattern Mining (KDD), 2016.

  2. 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.
    Proceedings of the 39th Annual International ACM SIGIR Conference (SIGIR), 2016.

  3. Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory Data.
    Chao Zhang, Yu Zheng, Xiuli Ma, Jiawei Han.
    The 21st ACM SIGKDD Conference on Knowledge Discovery and Pattern Mining (KDD), 2015.

  4. Fast Inbound Top-K Query for Random Walk with Restart. (Best Student Paper Runner-up Award)
    Chao Zhang, Shan Jiang, Yucheng Chen, Yidan Sun, Jiawei Han.
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2015.

  5. StreamCube: Hierarchical Spatio-temporal Hashtag Clustering for Event Exploration over the Twitter Stream.
    Wei Feng, Chao Zhang, Wei Zhang, Jiawei Han, Jianyong Wang, Charu Aggarwal, Jianbin Huang.
    Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE), 2015.

  6. Splitter: Mining Fine-Grained Sequential Patterns in Semantic Trajectories.
    Chao Zhang, Jiawei Han, Lidan Shou, Jiajun Lu, Thomas La Porta.
    Proceedings of the 40th International Conference on Very Large Data Bases (VLDB), 2014.

  7. Trendspedia: An Internet Observatory for Analyzing and Visualizing the Evolving Web.
    Wei Kang, Anthony K. H. Tung, Wei Chen, Xinyu Li, Qiyue Song, Chao Zhang, Feng Zhao, Xiajuan Zhou.

  8. Flickr Circles: Aesthetic Tendency Discovery by Multi-view Regularized Topic Modeling.
    Richang Hong, Luming Zhang, Chao Zhang and Roger Zimmermann.
    Transactions on Multimedia (to appear).

  9. Perception-Guided Multimodal Feature Fusion for Photo Aesthetics Assessment.
    Luming Zhang, Yue Gao, Chao Zhang, Hanwang Zhang, Qi Tian, Roger Zimmermann.
    Proceedings of the 22nd ACM International Conference on Multimedia (MM), 2014.

  10. Evaluating Geo-Social Influence in Location-Based Social Networks.
    Chao Zhang, Lidan Shou, Ke Chen, Gang Chen, Yijun Bei.
    Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM), 2012.

  11. See-To-Retrieve: Efficient Processing of Spatio-Visual Keyword Queries.
    Chao Zhang, Lidan Shou, Ke Chen, Gang Chen.
    Proceedings of the 35th Annual International ACM SIGIR Conference (SIGIR), 2012.

  12. What-You-Retrieve-Is-What-You-See: A Preliminary Cyber-Physical Search Engine.
    Lidan Shou, Ke Chen, Gang Chen, Chao Zhang, Yi Ma, Xian Zhang.
    Proceedings of the 34th Annual International ACM SIGIR Conference (SIGIR), 2011.

  13. Supporting Pattern-Preserving Anonymization for Time-Series Data.
    Lidan Shou, Xuan Shang, Ke Chen, Gang Chen, Chao Zhang.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2013.

Research Experience

Honors & Awards

Spatiotemporal Data Sets