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Xingquan (Hill) ZhuFlorida Atlantic UniversityVerified email at fau.edu
Shirui PanProfessor and ARC Future Fellow, Griffith UniversityVerified email at griffith.edu.au
Chengqi ZhangProfessor of Information TechnologyVerified email at uts.edu.au
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Jian Yang 杨坚Professor, Department of Computing, Macquarie UniversityVerified email at mq.edu.au
bo duSchool of Computer Science, Wuhan UniversityVerified email at whu.edu.cn
Quan Z. (Michael) ShengFull Professor, School of Computing, Macquarie University, Sydney, AustraliaVerified email at mq.edu.au
Guodong LongAssociate Professor, Australian AI Institute, University of Technology SydneyVerified email at uts.edu.au
Paul J KennedyProfessor, School of Computer Science, University of Technology, SydneyVerified email at uts.edu.au
Li GaoBaidu Inc.Verified email at baidu.com
Xindong WuHefei University of TechnologyVerified email at hfut.edu.cn
Surya NepalCSIRO’s Data61, AustraliaVerified email at csiro.au
Cecile ParisChief Research Scientist, CSIRO Data61, AustraliaVerified email at csiro.au
Longbing CaoProfessor & ARC Future Fellow (Level 3), University of Technology SydneyVerified email at uts.edu.au
Ying-Jie TianChinese Academy of SciencesVerified email at gucas.ac.cn
Leman AkogluAssociate Professor, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Hui Xiong, Fellow of AAAS and IEEEDistinguished Professor, Rutgers UniversityVerified email at rutgers.edu
Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STARVerified email at ihpc.a-star.edu.sg
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterVerified email at us.ibm.com
Jie LU (FIEEE, FIFSA)Distinguished Professor, Director of Australian Artificial Intelligence InstituteVerified email at uts.edu.au

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Data Mining Graph Mining Social Networks


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Tri-party deep network representation S Pan, J Wu, X Zhu, C Zhang, Y Wang Network 11 (9), 12, 2016	396	2016
Training deep neural networks on imbalanced data sets S Wang, W Liu, J Wu, L Cao, Q Meng, PJ Kennedy 2016 international joint conference on neural networks (IJCNN), 4368-4374, 2016	383	2016
Stacked convolutional denoising auto-encoders for feature representation B Du, W Xiong, J Wu, L Zhang, L Zhang, D Tao IEEE transactions on cybernetics 47 (4), 1017-1027, 2016	354	2016
Infrared and visible image fusion via detail preserving adversarial learning J Ma, P Liang, W Yu, C Chen, X Guo, J Wu, J Jiang Information Fusion 54, 85-98, 2020	181	2020
Deep Learning for Community Detection: Progress, Challenges and Opportunities PSY Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cecile Paris ... IJCAI, 4981-4987, 2020	144*	2020
A correlation-based feature weighting filter for naive bayes L Jiang, L Zhang, C Li, J Wu IEEE transactions on knowledge and data engineering 31 (2), 201-213, 2018	137	2018
Bag constrained structure pattern mining for multi-graph classification J Wu, X Zhu, C Zhang, SY Philip Ieee transactions on knowledge and data engineering 26 (10), 2382-2396, 2014	121	2014
Boosting for multi-graph classification J Wu, S Pan, X Zhu, Z Cai IEEE transactions on cybernetics 45 (3), 416-429, 2014	112	2014
Nonrigid point set registration with robust transformation learning under manifold regularization J Ma, J Wu, J Zhao, J Jiang, H Zhou, QZ Sheng IEEE transactions on neural networks and learning systems 30 (12), 3584-3597, 2018	111	2018
A comprehensive survey on graph anomaly detection with deep learning X Ma, J Wu, S Xue, J Yang, C Zhou, QZ Sheng, H Xiong, L Akoglu IEEE Transactions on Knowledge and Data Engineering, 2021	99	2021
Self-adaptive attribute weighting for Naive Bayes classification J Wu, S Pan, X Zhu, Z Cai, P Zhang, C Zhang Expert Systems with Applications 42 (3), 1487-1502, 2015	99	2015
Attribute weighting via differential evolution algorithm for attribute weighted naive bayes (wnb) J Wu, Z Cai Journal of Computational Information Systems 7 (5), 1672-1679, 2011	88	2011
Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs. Q Zhu, X Zhou, J Wu, J Tan, L Guo IJCAI, 1943-1949, 2019	80	2019
Time series feature learning with labeled and unlabeled data H Wang, Q Zhang, J Wu, S Pan, Y Chen Pattern Recognition 89, 55-66, 2019	77	2019
An unsupervised parameter learning model for RVFL neural network Y Zhang, J Wu, Z Cai, B Du, SY Philip Neural Networks 112, 85-97, 2019	75	2019
A comprehensive survey on community detection with deep learning X Su, S Xue, F Liu, J Wu, J Yang, C Zhou, W Hu, C Paris, S Nepal, D Jin, ... IEEE Transactions on Neural Networks and Learning Systems, 2022	74	2022
Graph ensemble boosting for imbalanced noisy graph stream classification S Pan, J Wu, X Zhu, C Zhang IEEE transactions on cybernetics 45 (5), 954-968, 2014	74	2014
A deep framework for cross-domain and cross-system recommendations F Zhu, Y Wang, C Chen, G Liu, M Orgun, J Wu arXiv preprint arXiv:2009.06215, 2020	69	2020
Memetic extreme learning machine Y Zhang, J Wu, Z Cai, P Zhang, L Chen Pattern Recognition 58, 135-148, 2016	68	2016
Task sensitive feature exploration and learning for multitask graph classification S Pan, J Wu, X Zhu, G Long, C Zhang IEEE transactions on cybernetics 47 (3), 744-758, 2016	65	2016

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