Jing Gao
PhD candidate
Dept. of Computer Science
Univ. of
Illinois, Urbana-Champaign
Urbana, IL 61801 USA
Office: 2119 Siebel Center
Email:
jinggao3 at
uiuc dot edu
Short Bio
I am a PhD candidate in the Data Mining Research Group, Department of Computer Science at University of Illinois at Urbana Champaign. My advisor is Professor Jiawei Han. Before joining UIUC, I studied in the Department of Computer Science and Engineering, Michigan State University. I received M.E. and B.E. from the Department of Computer Science and Technology at Harbin Institute of Technology in China. I interned at IBM T.J. Watson Research Center and NEC Labs America during 2007-2008.
Research Interests
I am broadly interested in data and information analysis with a focus on data mining and machine learning. In particular, my research interests include transfer learning, mining data streams and anomaly detection. I am also interested in text and web mining, statistical analysis and information retrieval.
Publications
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han, "Knowledge Transfer via Multiple Model Local Structure Mapping". Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), Las Vegas, NV, August 2008, to appear. [pdf]
Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure, "Direct Mining of Discriminative and Essential Graphical and Itemset Features via Model-based Search Tree". Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), Las Vegas, NV, August 2008, to appear.
Jing Gao, Wei Fan, Jiawei Han, "On Appropriate Assumptions to Mine Data Streams: Analysis and Practice". Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), Omaha, NE, October 2007, 143-152. [pdf][ppt]
Jing Gao, Wei Fan, Jiawei Han, Phillip S. Yu, "A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions". Proceedings of the 7th SIAM International Conference on Data Mining (SDM 2007), Minneapolis, MN, April 2007.[pdf][ppt]
Jing Gao, Pang-Ning Tan, "Converting Output Scores from Outlier Detection Algorithms into Probability Estimates". Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), Hong Kong, China, December 2006, 212-221.[pdf]
Jing Gao, Pang-Ning Tan, Haibin Cheng, "Semi-Supervised Clustering with Partial Background Information". Proceedings of the 6th SIAM International Conference on Data Mining (SDM 2006), Bethesda, MD, April 2006.[pdf]
Jing Gao, Haibin Cheng, Pang-Ning Tan, "A Novel Framework for Incorporating Labeled Examples into Anomaly Detection". Proceedings of the 6th SIAM International Conference on Data Mining (SDM 2006), Bethesda, MD, April 2006.[pdf]
Haibin Cheng, Pang-Ning Tan, Jing Gao, Jerry Scripps, "An Empirical Study on Multistep-ahead Time Series Prediction". Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006), Singapore, April 2006, 765-774.
Jing Gao, Haibin Cheng, Pang-Ning Tan, "Semi-Supervised Outlier Detection". Proceedings of the 2006 ACM Symposium on Applied Computing (SAC 2006), Dijon, France, April 2006, 635-636.
Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning Tan, "An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection". Proceedings of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2005), Hanoi, Vietnam, May 2005, 420-425.
Jing Gao, Jianzhong Li, Zhaogong Zhang, "Mining Maximal Frequent Patterns over Numerical Data Streams". Journal of Computer Research and Development. Vol.41, Suppl.: 282-288, 2004. (in Chinese)
Jing Gao, Jianzhong Li, Zhaogong Zhang, Yanqiu Zhang, "An Efficient Data Stream Clustering Algorithm Based on Grids and Density". Journal of Computer Science. Vol. 30, Suppl.: 256-260, 2003. (in Chinese)
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