Xiangnan Kong

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Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Ryan A. RossiAdobe ResearchVerified email at adobe.com
Elke RundensteinerProfessor of Computer Science, Worcester Polytechnic InstituteVerified email at wpi.edu
John Boaz LeeResearch Scientist, FacebookVerified email at fb.com
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterVerified email at us.ibm.com
Chuan ShiBeijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
Jiawei ZhangAssistant Professor, Florida State UniversityVerified email at cs.fsu.edu
Bokai CaoFacebookVerified email at fb.com
Xinyue LiuAmazonVerified email at amazon.com
Ann RaginResearch Professor of Radiology, Northwestern UniversityVerified email at Northwestern.edu
Nesreen K. AhmedSenior Staff Research Scientist, Intel Labs (PhD in CS, Purdue University)Verified email at intel.com
Cansu SenCodaMetrixVerified email at wpi.edu
Sihong XieAssistant Professor at Computer Science and Engineering, Lehigh UniversityVerified email at cse.lehigh.edu
Thomas HartvigsenWorcester Polytechnic InstituteVerified email at wpi.edu
Ying DingBill & Lewis Suit Professor at School of Information, Dell Med, University of Texas at AustinVerified email at austin.utexas.edu
Yao ZhangFudan UniversityVerified email at fudan.edu.cn
Lifang HeAssistant Professor of Computer Science, Lehigh UniversityVerified email at lehigh.edu
Jingyuan ZhangBaidu ResearchVerified email at baidu.com
Michael Kwok-Po NgSIAM Fellow and Chair Professor, Department of Mathematics, The University of Hong KongVerified email at maths.hku.hk
David J. WildProfessor of Informatics, Indiana UniversityVerified email at indiana.edu

Xiangnan Kong

Worcester Polytechnic Institute

Verified email at wpi.edu - Homepage

Data Mining Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Data classification CC Aggarwal Data Mining, 285-344, 2015	2043	2015
Inferring anchor links across multiple heterogeneous social networks X Kong, J Zhang, PS Yu Proceedings of the 22nd ACM international conference on Information …, 2013	315	2013
Hetesim: A general framework for relevance measure in heterogeneous networks C Shi, X Kong, Y Huang, SY Philip, B Wu IEEE Transactions on Knowledge and Data Engineering 26 (10), 2479-2492, 2014	223	2014
Inferring the impacts of social media on crowdfunding CT Lu, S Xie, X Kong, PS Yu Proceedings of the 7th ACM international conference on Web search and data …, 2014	201	2014
Transductive Multi-Label Learning via Label Set Propagation X Kong, M Ng, Z Zhou Knowledge and Data Engineering, IEEE Transactions on, 1-1, 2011	159	2011
Meta path-based collective classification in heterogeneous information networks X Kong, PS Yu, Y Ding, DJ Wild Proceedings of the 21st ACM international conference on Information and …, 2012	136	2012
Semi-supervised feature selection for graph classification X Kong, PS Yu Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	135	2010
Relevance search in heterogeneous networks C Shi, X Kong, PS Yu, S Xie, B Wu Proceedings of the 15th international conference on extending database …, 2012	126	2012
Transferring heterogeneous links across location-based social networks J Zhang, X Kong, PS Yu Proceedings of the 7th ACM international conference on Web search and data …, 2014	124	2014
Predicting social links for new users across aligned heterogeneous social networks J Zhang, X Kong, SY Philip 2013 IEEE 13th International Conference on Data Mining, 1289-1294, 2013	117	2013
Graph classification using structural attention JB Lee, R Rossi, X Kong Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	116	2018
Community detection in incomplete information networks W Lin, X Kong, PS Yu, Q Wu, Y Jia, C Li Proceedings of the 21st international conference on World Wide Web, 341-350, 2012	107	2012
Multi-label classification by mining label and instance correlations from heterogeneous information networks X Kong, B Cao, PS Yu Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	92	2013
Active learning: A survey CC Aggarwal, X Kong, Q Gu, J Han, SY Philip Data Classification: Algorithms and Applications, 571-605, 2014	66	2014
Collective prediction of multiple types of links in heterogeneous information networks B Cao, X Kong, SY Philip 2014 IEEE International Conference on Data Mining, 50-59, 2014	58	2014
Dusk: A dual structure-preserving kernel for supervised tensor learning with applications to neuroimages L He, X Kong, PS Yu, X Yang, AB Ragin, Z Hao Proceedings of the 2014 SIAM International Conference on Data Mining, 127-135, 2014	57	2014
Multi-label collective classification X Kong, X Shi, PS Yu Proceedings of the 2011 SIAM International Conference on Data Mining, 618-629, 2011	57	2011
gMLC: a multi-label feature selection framework for graph classification X Kong, SY Philip Knowledge and information systems 31 (2), 281-305, 2012	56	2012
Discriminative feature selection for uncertain graph classification X Kong, PS Yu, X Wang, AB Ragin Proceedings of the 2013 SIAM International Conference on Data Mining, 82-93, 2013	52	2013
Dual active feature and sample selection for graph classification X Kong, W Fan, PS Yu Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	50	2011

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