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CSE department

SUNY Buffalo

Jing Gao University at Buffalo

Assistant Professor

Department of Computer Science and Engineering

University at Buffalo

350 Davis Hall, Buffalo, NY 14260

Phone: (716)645-1586

Email: jing@buffalo.edu


Brief Bio

I am currently an assistant professor in the Computer Science and Engineering Department of the University at Buffalo. I got my PhD from Computer Science Department at University of Illinois at Urbana Champaign in 2011 under the supervision of Prof. Jiawei Han. I received M.E. and B.E. from the Computer Science and Technology Department at Harbin Institute of Technology in China.

For Prospective Students

I am looking for motivated Ph.D. students who are interested in data mining and related areas. Please send me your CV and/or apply to CSE buffalo if you are interested. Graduate admission information can be found here.

Research Interests

I am broadly interested in data and information analysis with a focus on data mining. In particular, I am interested in truth discovery, crowdsourcing, information integration, anomaly detection, information network analysis, transfer learning, data stream mining, and ensemble learning. I am also interested in various data mining applications in health care, bioinformatics, transportation, cyber security and education. [Research Overview]

Funded research project

Selected Recent Publications        Full List       Google Scholar

KDD16

Houping Xiao, Jing Gao, Zhaoran Wang, Shiyu Wang, Lu Su, Han Liu. A Truth Discovery Approach with Theoretical Guarantee. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, August 2016, to appear. Acceptance Rate: 142/784 = 18.1%. [Paper in PDF]

KDD16

Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang. Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, August 2016, to appear. [Paper in PDF]

Survey

Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, Jiawei Han. A Survey on Truth Discovery. SIGKDD Explorations, 17(12): 1-16, December 2015. [Paper]

WSDM16

Qi Li, Fenglong Ma, Jing Gao, Lu Su, Christopher J Quinn. Crowdsourcing High Quality Labels with a Tight Budget. ACM International Conference on Web Search and Data Mining, San Francisco, CA, February 2016, 237-246. Acceptance Rate: 67/368 = 18.2%. [Paper in PDF]

VLDB15

Qi Li, Yaliang Li, Jing Gao, Lu Su, Bo Zhao, Murat Demirbas, Wei Fan, Jiawei Han. A Confidence-Aware Approach for Truth Discovery on Long-Tail Data. International Conference on Very Large Data Bases, Kohala Coast, HI, August 2015, 8(4): 425-436.

KDD15

Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han. On the Discovery of Evolving Truth. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, Australia, August 2015, 675-684. Acceptance Rate: 159/819 = 19.4%. [Paper in PDF]

KDD15

Fenglong Ma, Yaliang Li, Qi Li, Minghui Qui, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han. FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, Australia, August 2015, 675-684. Acceptance Rate: 159/819 = 19.4%. [Paper in PDF]


Last updated: July 2016. Copyright (c) 2016 Jing Gao. All rights reserved.