Hanghang Tong

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Christos FaloutsosCMUVerified email at cs.cmu.edu
Jingrui HeUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Leman AkogluAssociate Professor, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Yuan YaoAssociate Professor, Nanjing UniversityVerified email at nju.edu.cn
Tina Eliassi-RadProfessor, Northeastern UniversityVerified email at eliassi.org
Si ZhangMeta Platforms Inc.Verified email at fb.com
Changshui ZhangDept. Automation, Tsinghua University, Beijing, ChinaVerified email at mail.tsinghua.edu.cn
Duen Horng ChauAssociate Professor, Georgia Institute of TechnologyVerified email at gatech.edu
Liangyue LiAlibabaVerified email at amazon.com
HongJiang Zhang (张宏江）Sourcecode CapitalVerified email at sourcecodecap.com
Nan CaoIntelligent Big Data Visualization Lab @ Tongji UniversityVerified email at tongji.edu.cn
B. Aditya PrakashAssociate Professor, Georgia Institute of TechnologyVerified email at cs.cmu.edu
Brian GallagherComputer Scientist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Jimeng SunProfessor at University of Illinois Urbana-ChampaignVerified email at illinois.edu
Danai KoutraUniversity of Michigan, Ann ArborVerified email at umich.edu
Lei ShiProfessor, School of Computer Science and Engineering, Beihang UniversityVerified email at buaa.edu.cn
Xing SuPhD, Software Engineer in AmazonVerified email at gradcenter.cuny.edu
Jia-Yu PanGoogle Inc.Verified email at google.com
Spiros PapadimitriouRutgers UniversityVerified email at rutgers.edu
U KangProfessor of Computer Science and Engineering, Seoul National UniversityVerified email at snu.ac.kr

Hanghang Tong

University of Illinois at Urbana-Champaign

Verified email at illinois.edu - Homepage

Large Scale Data Mining Graph Mining Social Networks Healthcare Multimedia


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Data mining: concepts and techniques J Han, J Pei, H Tong Morgan kaufmann, 2022	55798	2022
Graph based anomaly detection and description: a survey L Akoglu, H Tong, D Koutra Data mining and knowledge discovery 29, 626-688, 2015	1356	2015
Fast random walk with restart and its applications H Tong, C Faloutsos, JY Pan IEEE ICDM, 2006	1248	2006
Activity recognition with smartphone sensors X Su, H Tong, P Ji Tsinghua science and technology 19 (3), 235-249, 2014	533	2014
Rolx: structural role extraction & mining in large graphs K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, L Akoglu, ... Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	501	2012
Graph convolutional networks: a comprehensive review S Zhang, H Tong, J Xu, R Maciejewski Computational Social Networks 6 (1), 1-23, 2019	497	2019
Manifold-ranking based image retrieval J He, M Li, HJ Zhang, H Tong, C Zhang Proceedings of the 12th annual ACM international conference on Multimedia, 9-16, 2004	459	2004
Blur detection for digital images using wavelet transform H Tong, M Li, H Zhang, C Zhang 2004 IEEE international conference on multimedia and expo (ICME)(IEEE Cat …, 2004	396	2004
Random walk with restart: fast solutions and applications H Tong, C Faloutsos, JY Pan Knowledge and Information Systems 14, 327-346, 2008	377	2008
Center-piece subgraphs: problem definition and fast solutions H Tong, C Faloutsos Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006	359	2006
Fast best-effort pattern matching in large attributed graphs H Tong, C Faloutsos, B Gallagher, T Eliassi-Rad Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	331	2007
Gelling, and melting, large graphs by edge manipulation H Tong, BA Prakash, T Eliassi-Rad, M Faloutsos, C Faloutsos Proceedings of the 21st ACM international conference on Information and …, 2012	266	2012
It's who you know: graph mining using recursive structural features K Henderson, B Gallagher, L Li, L Akoglu, T Eliassi-Rad, H Tong, ... Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	253	2011
Final: Fast attributed network alignment S Zhang, H Tong Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016	209	2016
Using ghost edges for classification in sparsely labeled networks B Gallagher, H Tong, T Eliassi-Rad, C Faloutsos Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	198	2008
Centralities in large networks: Algorithms and observations U Kang, S Papadimitriou, J Sun, H Tong Proceedings of the 2011 SIAM international conference on data mining, 119-130, 2011	187	2011
Virus propagation on time-varying networks: Theory and immunization algorithms BA Prakash, H Tong, N Valler, M Faloutsos, C Faloutsos Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010	187	2010
On the vulnerability of large graphs H Tong, BA Prakash, C Tsourakakis, T Eliassi-Rad, C Faloutsos, ... 2010 IEEE International Conference on Data Mining, 1091-1096, 2010	173	2010
Pics: Parameter-free identification of cohesive subgroups in large attributed graphs L Akoglu, H Tong, B Meeder, C Faloutsos Proceedings of the 2012 SIAM international conference on data mining, 439-450, 2012	167	2012
Non-negative residual matrix factorization with application to graph anomaly detection H Tong, CY Lin Proceedings of the 2011 SIAM International Conference on Data Mining, 143-153, 2011	167	2011

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