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CSE department

SUNY Buffalo

Publications

2016

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]

KDD16

Mengting Wan, Xiangyu Chen, Lance Kaplan, Jiawei Han, Jing Gao, Bo Zhao. From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, August 2016, to appear.

ISIT16

Christopher Quinn, Ali Pinar, Jing Gao, Lu Su. Sparse Approximations of Directed Information Graphs. IEEE International Symposium on Information Theory, Barcelona, Spain, July 2016, to appear.

SoCG16

Hu Ding, Jing Gao, Jinhui Xu. Finding Global Optimum for Truth Discovery: Entropy Based Geometric Variance. International Symposium on Computational Geometry, Boston, MA, June 2016, 34:1-34:16.

SDM16

Sihong Xie, Qingbo Hu, Weixiang Shao, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu. Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction. SIAM International Conference on Data Mining, Miami, FL, May 2016.

TMC

Yaliang Li, Qi Li, Jing Gao, Patrick Lee, Wei Fan, Lu Su, Caifeng He, Cheng He, Fan Yang. A Weighted Crowdsourcing Approach for Network Quality Measurement in Cellular Data Networks. IEEE Transactions on Mobile Computing, accepted, March 2016.

TKDE

Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han. Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery. IEEE Transactions on Knowledge and Data Engineering, accepted, March 2016.

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]

TRB16

Zhenhua Zhang, Ming Ni, Qing He, Jing Gao, Jizhan Gou, Xiaoling Li. An Exploratory Study on the Correlation between Twitter Concentration and Traffic Surge. Transportation Research Record, in press, 2016.

TRB16

Zhenhua Zhang, Ming Ni, Qing He, Jing Gao, Jizhan Gou, Xiaoling Li. Identifying On-Site Traffic Accidents Using Both Traffic and Social Media Data. Transportation Research Board Annual Meeting, Washington DC, January 2016.

TRB16

Ming Ni, Qing He, Jing Gao. Nonrecurrent Subway Passenger Flow Prediction from Social Media Under Event Occurrences. Transportation Research Board Annual Meeting, Washington DC, January 2016.

2015

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]

TKDE

Nan Du, Xiaowei Jia, Jing Gao, Vishrawas Gopalakrishnan, Aidong Zhang. Tracking Temporal Community Strength in Dynamic Networks. IEEE Transactions on Knowledge and Data Engineering, 27(11): 3125-3137, November 2015.

SenSys15

Chuishi Meng, Wenjun Jiang, Yaliang Li, Jing Gao, Lu Su, Hu Ding, Yun Cheng. Truth Discovery on Crowd Sensing of Correlated Entities. ACM International Conference on Embedded Networked Sensor Systems, Seoul, South Korea, November 2015, 169-182. Acceptance Rate: 27/132 = 20.5%.

SenSys15

Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren. Truth Discovery on Crowd Sensing of Correlated Entities. ACM International Conference on Embedded Networked Sensor Systems, Seoul, South Korea, November 2015, 183-196. Acceptance Rate: 27/132 = 20.5%.

ICDM15

Xiaoyi Li, Xiaowei Jia, Hui Li, Houping Xiao, Jing Gao, Aidong Zhang. DRN: Bringing Greedy Layered Training into Time Dimension. IEEE International Conference on Data Mining, Atlantic City, NJ, November 2015, 859-864. Acceptance Rate: 18.2%.

BigData15

Sihong Xie, Qingbo Hu, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu. Robust Crowd Bias Correction Via Dual Knowledge Transfer from Multiple Overlapping Sources. IEEE International Conference on Big Data, Santa Clara, CA, October 2015, 815-820.

JCST

Xian Wu, Wei Fan, Jing Gao, Zi-Ming Feng, Yong Yu. Detecting Marionette Microblog Users for Improved Information Credibility. Journal of Computer Science and Technology, 30(5): 1082-1096, September 2015.

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. [Paper in PDF] [Code&Data in ZIP]

ASONAM15

Nan Du, Jing Gao, Liang Ge, Vishrawas Gopalakrishnan, Xiaowei Jia, Kang Li, Aidong Zhang. Significant Edge Detection in Target Network by Exploring Multiple Auxiliary Networks. IEEE/ACM International Conference on Advances in Social Network Analysis and Mining, Paris, France, August 2015, 210-217. Acceptance Rate: 49/272 = 18%.

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, 745-754. Acceptance Rate: 159/819 = 19.4%. [Paper in PDF]

KDD15

Shi Zhi, Bo Zhao, Wenzhu Tong, Jing Gao, Dian Yu, Heng Ji, Jiawei Han. Modeling Truth Existence in Truth Discovery. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, Australia, August 2015, 1543-1552. Acceptance Rate: 159/819 = 19.4%. [Paper in PDF]

WWW15

Houping Xiao, Jing Gao, Deepak Turaga, Long Vu, Alain Biem. Temporal Multi-View Inconsistency Detection for Network Traffic Analysis. International World Wide Web Conference, Florence, Italy, May 2015, 455-465.

SDM15

Kang Li, Jing Gao, Suxin Guo, Nan Du, Aidong Zhang. Functional Node Detection on Linked Data. SIAM International Conference on Data Mining, Vancouver, Canada, April 2015, 1-9.

SDM15

Jialu Liu, Chi Wang, Jing Gao, Quanquan Gu, Charu Aggarwal, Lance Kaplan, Jiawei Han. GIN: A Unified Model for Capturing Dual Heterogeneity in Clustering Networked Data. SIAM International Conference on Data Mining, Vancouver, Canada, April 2015, 388-396.

SDM15

Houping Xiao, Yaliang Li, Jing Gao, Fei Wang, Liang Ge, Wei Fan, Long Vu, Deepak Turaga. Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data. SIAM International Conference on Data Mining, Vancouver, Canada, April 2015, 397-405.

SDM15

Bowen Dong, Sihong Xie, Jing Gao, Wei Fan, Philip S. Yu. OnlineCM: Real-time Consensus Classification with Missing Values. SIAM International Conference on Data Mining, Vancouver, Canada, April 2015, 685-693.

TRB15

Lei Lin, Ming Ni, Qing He, Jing Gao, Adel W. Sadek. Modeling the Impacts of Inclement Weather on Freeway Traffic Speed: An Exploratory Study Utilizing Social Media Data. Transportation Research Board Annual Meeting, Washington, DC, January 2015.

2014

ICDM14

Kang Li, Jing Gao, Suxin Guo, Nan Du, Xiaoyi Li, Aidong Zhang. LRBM: A Restricted Boltzmann Machine based Approach for Representation Learning on Linked Data. IEEE International Conference on Data Mining, Shenzhen, China, December 2014. Acceptance Rate: 9.7%.

RTSS14

Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek Abdelzaher, Jiawei Han, Xue Liu, Yan Gao, Lance Kaplan. Generalized Decision Aggregation in Distributed Sensing Systems. IEEE Real-Time Systems Symposium, Rome, Italy, December 2014.

CIKM14

Xiaowei Jia, Nan Du, Jing Gao, Aidong Zhang. Analysis on Community Variational Trend in Dynamic Networks. ACM International Conference on Information and Knowledge Management, Shanghai, China, November 2014, 151-160.

TKDE

Manish Gupta, Jing Gao, Charu Aggarwal, Jiawei Han. Outlier Detection for Temporal Data: A Survey. IEEE Transactions on Knowledge and Data Engineering, 26(9): 2250-2267, September 2014.

KDD14

Sihong Xie, Jing Gao, Wei Fan, Deepak Turaga, Philip S. Yu. Class-Distribution Regularized Consensus Maximization for Alleviating Overfitting in Model Combination. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, August 2014, 303-312. Acceptance Rate: 151/1036 = 14.6%. [Paper in PDF] [BIBTEX]

IAAI14

Bahadir Aydin, Yavuz Yilmaz, Yaliang Li, Qi Li, Jing Gao, Murat Demirbas. Crowdsourcing for Multiple-Choice Question Answering. Annual Conference on Innovative Applications of Artificial Intelligence, Quebec City, Canada, July 2014, 2946-2953.

DC14

Yaliang Li, Jing Gao, Qi Li, Wei Fan. Ensemble Learning. C. Aggarwal (ed.) Data Classification: Algorithms and Applications, Taylor & Francis, 2014, 483-510.

SIGMOD14

Qi Li, Yaliang Li, Jing Gao, Bo Zhao, Wei Fan, Jiawei Han. Resolving Conflicts in Heterogeneous Data by Truth Discovery and Source Reliability Estimation. ACM SIGMOD International Conference on Management of Data, Snowbird, UT, June 2014, 1187-1198. [Paper in PDF] [Code&Data in ZIP] [More Informationn] [BIBTEX]

SDM14

Xiaoyi Li, Nan Du, Hui Li, Kang Li, Jing Gao, Aidong Zhang. A Deep Learning Approach to Link Prediction in Dynamic Networks. SIAM International Conference on Data Mining, Philadelphia, PA, April 2014, 289-297.

SDM14

Ke Wu, Andrea Edwards, Wei Fan, Jing Gao, Kun Zhang. Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling. SIAM International Conference on Data Mining, Philadelphia, PA, April 2014, 722-730.

ICDE14

Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han. Top-K Interesting Subgraph Discovery in Information Networks. IEEE International Conference on Data Engineering, Chicago, IL, March 2014, 820-831. Acceptance Rate: 89/446 = 19.96%.

MC

Manish Gupta, Jing Gao, Charu Aggarwal, Jiawei Han. Outlier Detection for Temporal Data. Morgan & Claypool, Synthesis Lectures on Data Mining and Knowledge Discovery, March 2014. [Link] [Amazon]

TRB14

Ming Ni, Qing He, Jing Gao. Using Social Media to Predict Traffic Flow under Special Event Conditions. Transportation Research Board Annual Meeting, Washington, DC, January 2014.

2013

ICDM13

Kang Li, Suxin Guo, Nan Du, Jing Gao, Aidong Zhang. Learning, Analyzing and Predicting Object Roles on Dynamic Networks. IEEE International Conference on Data Mining, Dallas, TX, December 2013, 428-437. Acceptance Rate: 94/809 = 11.62%.

ICDM13

Nan Du, Jing Gao, Aidong Zhang. Progression Analysis of Community Strengths in Dynamic Networks. IEEE International Conference on Data Mining, Dallas, TX, December 2013, 1031-1036. Acceptance Rate: 159/809 = 19.65%.

ICDM13

Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu. Multilabel Consensus Classification. IEEE International Conference on Data Mining, Dallas, TX, December 2013, 1241-1246. Acceptance Rate: 159/809 = 19.65%.

CIKM13

Liang Ge, Jing Gao, Aidong Zhang. OMS-TL: A Framework of Online Multiple Source Transfer Learning. ACM International Conference on Information and Knowledge Management, San Francisco, CA, October 2013, 2423-2428. Acceptance Rate: 250/848 = 29.48%.

CIKM13

Xiaoyi Li, Jing Gao, Hui Li, Le Yang, Rohini K. Srihari. A Multimodal Framework for Unsupervised Feature Fusion. ACM International Conference on Information and Knowledge Management, San Francisco, CA, October 2013, 897-902. Acceptance Rate: 250/848 = 29.48%.

BCB13

Kang Li, Suxin Guo, Jing Gao, Aidong Zhang. An Ensemble Model for Mobile Device based Arrhythmia Detection. ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics, Washington, DC, September 2013, 266-275. Acceptance Rate: 43/148 = 29%.

ECML/PKDD13

Manish Gupta, Jing Gao, Jiawei Han. Community Distribution Outlier Detection in Heterogeneous Information Networks. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Prague, Czech Republic, September 2013, 557-573. Acceptance Rate: 111/443 = 25%.

ECML/PKDD13

Xian Wu, Ziming Feng, Wei Fan, Jing Gao, Yong Yu. Detecting Marionette Microblog Users for Improved Information Credibility. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Prague, Czech Republic, September 2013, 483-498. Acceptance Rate: 111/443 = 25%.

ASONAM13

Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han. On Detecting Association-Based Clique Outliers in Heterogeneous Information Networks. IEEE/ACM International Conference on Advances in Social Network Analysis and Mining, Niagara Falls, Canada, August 2013, 108-115. Acceptance Rate: ~13%.

KDD13

Liang Ge, Jing Gao, Xiaoyi Li, Aidong Zhang. Multi-Source Deep Learning for Information Trustworthiness Estimation. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, IL, August 2013, 766-774. Acceptance Rate: 126/726 = 17.4%. [Paper in PDF] [BIBTEX]

TKDE

Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Ashok Srivastava, Nikunj C. Oza. Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams. IEEE Transactions on Knowledge and Data Engineering, 25(7): 1484-1497, July 2013.

AAAI13

David M. Johnson, Caiming Xion, Jing Gao, Jason J. Corso. Comprehensive Cross-Hierarchy Cluster Agreement Evaluation. AAAI Conference on Artificial Intelligence, Bellevue, WA, May 2013, 56-58.

SDM13

Liang Ge, Jing Gao, Hung Q. Ngo, Kang Li, Aidong Zhang. On Handling Negative Transfer and Imbalanced Distributions in Multiple Source Transfer Learning. SIAM International Conference on Data Mining, Austin, TX, May 2013, 261-269. Acceptance Rate: 50/348 = 14.4%. Selected for publication in the special issue of "Best of SDM 2013" in Statistical Analysis and Data Mining [Conference version] [Journal version] [BIBTEX]

SDM13

Jialu Liu, Chi Wang, Jing Gao, Jiawei Han. Multi-view Clustering via Joint Nonnegative Matrix Factorization. SIAM International Conference on Data Mining, Austin, TX, May 2013, 252-260. Acceptance Rate: 50/348 = 14.4%.

TKDE

Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han. A Graph-based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models. IEEE Transactions on Knowledge and Data Engineering, 25(1): 15-28, January 2013.

2012

ICDM12

Liang Ge, Jing Gao, Xiao Yu, Wei Fan, Aidong Zhang. Estimating Local Information Trustworthiness via Multi-Source Joint Matrix Factorization. IEEE International Conference on Data Mining, December 2012, 876-881. Acceptance Rate: 20%.

RTSS12

Lu Su, Shaohan Hu, Shen Li, Feng Liang, Jing Gao, Tarek Abdelzaher, Jiawei Han. Quality of Information based Data Selection and Transmission in Wireless Sensor Networks. IEEE Real-time Systems Symposium, San Juan, Puerto Rico, December 2012, 327-338. Acceptance Rate: 22%.

GEPA

Jing Gao, Nan Du, Wei Fan, Deepak Turaga, Srinivasan Parthasarathy, Jiawei Han A Multi-graph Spectral Framework for Mining Multi-source Anomalies. Y. Fu and Y. Ma (eds.), Graph Embedding for Pattern Analysis, Springer, 2012, 205-228.

BCB12

Nan Du, Yuan Zhang, Kang Li, Jing Gao, Aidong Zhang. Evolutionary Analysis of Functional Modules in Dynamic PPI Networks. ACM Conference on Bioinformatics, Computational Biology and Biomedicine, Orlando, Florida, October 2012, 250-257. Acceptance Rate: 33/159 = 20.75%.

BCB12

Liang Ge, Jing Gao, Nan Du, Aidong Zhang. Finding Informative Genes for Prostate Cancer: A General Framework of Integrating Heterogeneous Sources. ACM Conference on Bioinformatics, Computational Biology and Biomedicine, Orlando, Florida, October 2012, 274-281. Acceptance Rate: 64/159 = 40.25%.

BIBM12

Nan Du, Jing Gao, Vishrawas Gopalakrishna, Aidong Zhang. De-noise Biological Network from Heterogeneous Sources via Link Propagation. IEEE International Conference on Bioinformatics and Biomedicine, Philadelphia, PA, October 2012, 1-6. Acceptance Rate: 59/299 = 19.93%.

ASIS&T12

Manish Gupta, Jing Gao, ChengXiang Zhai, Jiawei Han. Predicting Future Popularity Trend of Events in Microblogging Platforms. 75th Annual Meeting of American Society for Information Science & Technology, Baltimore, MD, October 2012, 49(1): 1-10.

ECML/PKDD12

Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han. Community Trend Outlier Detection Using Soft Temporal Pattern Mining. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK, September 2012, 692-708. Acceptance Rate: 105/443 = 23.7%.

KDD12

Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han. Integrating Community Matching and Outlier Detection for Mining Evolutionary Community Outliers. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Beijing, China, August 2012, 859-867. Acceptance Rate: 133/755 = 17.6%.

2011

THESIS

Jing Gao. Exploring the Power of Heterogeneous Information Sources. Ph.D. Dissertation, University of Illinois, Urbana-Champaign. [Paper in PDF]

ICDM11

Jing Gao, Wei Fan, Deepak Turaga, Srinivasan Parthasarathy, Jiawei Han. A Spectral Framework for Detecting Inconsistency across Multi-Source Object Relationships. IEEE International Conference on Data Mining, Vancouver, Canada, December 2011, 1050-1055. Acceptance Rate: 148/822 = 18%. [Paper in PDF] [More Informationn]

ICDM11

Mohammad Masud, Tahseen Al-Khateeb, Latifur Khan, Charu Aggarwal, Jing Gao, Jiawei Han. Detecting Recurring and Novel Classes in Concept-Drifting Data Streams. IEEE International Conference on Data Mining, Vancouver, Canada, December 2011, 1176-1181. Acceptance Rate: 148/822 = 18%.

SenSys11

Lu Su, Yong Yang, Bolin Ding, Jing Gao, Tarek F. Abdelzaher, Jiawei Han. Hierarchical Aggregate Classification with Limited Supervision for Data Reduction in Wireless Sensor Networks. ACM International Conference on Embedded Networked Sensor Systems, Seattle, WA, November 2011, 40-53. Acceptance Rate: 24/123 = 19.5%.

KAIS

Mohammad Mehedy Masud, Clay Woolam, Jing Gao, Latifur Khan, Jiawei Han, Kevin W. Hamlen, Nikunj C. Oza. Facing the Reality of Data Stream Classification: Coping with Scarcity of Labeled Data. Knowledge and Information Systems, 33(1): 213-244, October 2011.

TMIS

Mohammad Mehedy Masud, Tahseen Al-Khateeb, Kevin W. Hamlen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham. Cloud-based Malware Detection for Evolving Data Streams. ACM Transactions on Management Information Systems, 2(3): 16, October 2011.

TKDE

Mohammad Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham. Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints. IEEE Transactions on Knowledge and Data Engineering, 23(6): 859-874, June 2011.

INFOCOM11

Jing Gao, Wei Fan, Deepak Turaga, Olivier Verscheure, Xiaoqiao Meng, Lu Su, Jiawei Han. Consensus Extraction from Heterogeneous Detectors to Improve Performance over Network Traffic Anomaly Detection. IEEE International Conference on Computer Communications Mini-Conference, Shanghai, China, April 2011, 181-185. Acceptance Rate: 427/1823 = 23.4%. [Paper in PDF] [BIBTEX]

2010

ICDM10

Mohammad Masud, Qing Chen, Latifur Khan, Charu Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham. Addressing Concept-Evolution in Concept-Drifting Data Streams.. IEEE International Conference on Data Mining, Sydney, Australia, December 2010, 929-934. Acceptance Rate: 155/797 = 19.4%.

ECML/PKDD10

Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao. Graph Regularized Transductive Classification on Heterogeneous Information Networks. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Barcelona, Spain, September 2010, 570-586. Acceptance Rate: 120/658 = 18.2%.

ECML/PKDD10

Mohammad Masud, Qing Chen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham. Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space.. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Barcelona, Spain, September 2010, 570-586. Acceptance Rate: 120/658 = 18.2%.

KDD10

Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Sun, Jiawei Han. On Community Outliers and their Efficient Detection in Information Networks. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, July 2010, 813-822. Acceptance Rate: 77/578 = 13.3%. [Paper in PDF] [Slides in PPT] [More Informationn] [BIBTEX]

PAKDD10

Mohammad Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham. Classification and Novel Class Detection in Data Streams with Active Mining. Pacific-Asia Conference on Knowledge Discovery and Data Mining, Hyderabad, India, June 2010, 311-324. Acceptance Rate: 42/412 = 10.2%.

2009

NIPS09

Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han. Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models. Advances in Neural Information Processing Systems, 22, 2009, 585-593. Acceptance Rate: 263/1105 = 23.8%. [Paper in PDF] [Slides in PPT] [Codes in ZIP] [More Informationn] [BIBTEX]

ICDM09

Yizhou Sun, Jiawei Han,Jing Gao, Yintao Yu. iTopicModel: Information Network-Integrated Topic Modeling. IEEE International Conference on Data Mining, Miami, FL, December 2009, 493-502. Acceptance Rate: 70/786 = 8.9%.

ACM MM09

Chandrasekar Ramachandran, Rahul Malik, Xin Jin, Jing Gao, Klara Nahrstedt, Jiawei Han. VideoMule: A Consensus Learning Approach to Multi-Label Classification from Noisy User-Generated Videos. ACM International Conference on Multimedia, Beijing, China, October 2009, 721-724. Acceptance Rate: 58/204 = 28%.

ECML/PKDD09

Mohammad Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham. Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bled, Slovenia, September 2009, 79-94. Acceptance Rate: 105/422 = 24.9%.

KDD09

Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han. Heterogeneous Source Consensus Learning via Decision Propagation and Negotiation. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 2009, 339-347. Acceptance Rate: 112/538 = 20.8%. [Paper in PDF] [Slides in PPT] [Codes in ZIP] [BIBTEX]

ICDCS09

Jing Gao, Guofei Jiang, Haifeng Chen, Jiawei Han. Modeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems. International Conference on Distributed Computing Systems, Montreal, Canada, June 2009, 623-630. Acceptance Rate: 74/455 = 16%. [Paper in PDF] [BIBTEX]

PAKDD09

Mohammad Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham. A Multi-Partition Multi-Chunk Ensemble Technique to Classify Concept-Drifting Data Streams. Pacific-Asia Conference on Knowledge Discovery and Data Mining, Bangkok, Thailand, April 2009, 363-375. Acceptance Rate: 39/338 = 11.5%.

NGDM

Jiawei Han, Jing Gao. Research Challenges for Data Mining in Science and Engineering. H. Kargupta, et al., (eds.), Next Generation of Data Mining, Chapman & Hall, 2009, 3-28.

2008

IEEEIC

Jing Gao, Bolin Ding, Wei Fan, Jiawei Han, Philip S. Yu. Classifying Data Streams with Skewed Class Distributions and Concept Drifts. IEEE Internet Computing, Special Issue on Data Stream Management, Nov./Dec. 2008, 12(6): 37-49.

ICDM08

Mohammad Masud, Jing Gao, Latifur Khan, Jiawei Han. A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data. IEEE International Conference on Data Mining, Pisa, Italy, December 2008, 929-934. Acceptance Rate: 144/724 = 19.9%.

KDD08

Jing Gao, Wei Fan, Jing Jiang, Jiawei Han. Knowledge Transfer via Multiple Model Local Structure Mapping. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, NV, August 2008, 283-291. Acceptance Rate: 95/510 = 18.6%. [Paper in PDF] [Slides in PPT] [Codes in ZIP] [More Informationn] [BIBTEX]

KDD08

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. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, NV, August 2008, 283-291. Acceptance Rate: 50/510 = 9.8%.

2007

ICDM07

Jing Gao, Wei Fan, Jiawei Han. On Appropriate Assumptions to Mine Data Streams: Analysis and Practice. IEEE International Conference on Data Mining, Omaha, NE, October 2007, 143-152. Acceptance Rate: 40/573 = 7.5%. [Paper in PDF] [Slides in PPT] [More Informationn] [BIBTEX]

SDM07

Jing Gao, Wei Fan, Jiawei Han, Phillip S. Yu. A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions. SIAM International Conference on Data Mining, Minneapolis, MN, April 2007, 3-14. Acceptance Rate: 36/302 = 11.9%. [Paper in PDF] [Slides in PPT] [More Informationn] [BIBTEX]

2006

ICDM06

Jing Gao, Pang-Ning Tan. Converting Output Scores from Outlier Detection Algorithms into Probability Estimates. IEEE International Conference on Data Mining, Hong Kong, China, December 2006, 212-221. Acceptance Rate: 73/776 = 9.4%. [Paper in PDF]

SDM06

Jing Gao, Pang-Ning Tan, Haibin Cheng. Semi-Supervised Clustering with Partial Background Information. SIAM International Conference on Data Mining, Bethesda, MD, April 2006, 489-493. [Paper in PDF]

SDM06

Jing Gao, Haibin Cheng, Pang-Ning Tan. A Novel Framework for Incorporating Labeled Examples into Anomaly Detection. SIAM International Conference on Data Mining, Bethesda, MD, April 2006, 594-598. [Paper in PDF]

PAKDD06

Haibin Cheng, Pang-Ning Tan, Jing Gao, Jerry Scripps. An Empirical Study on Multistep-ahead Time Series Prediction. Pacific-Asia Conference on Knowledge Discovery and Data Mining, Singapore, April 2006, 765-774.

SAC06

Jing Gao, Haibin Cheng, Pang-Ning Tan. Semi-Supervised Outlier Detection. ACM Symposium on Applied Computing, Dijon, France, April 2006, 635-636.

2005 and before

PAKDD05

Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning Tan. An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection. Pacific-Asia Conference on Knowledge Discovery and Data Mining, Hanoi, Vietnam, May 2005, 420-425.

JCRD

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)

JCS

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)