JIA WU - Google Scholar Citations

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	All	Since 2015
Citations	1937	1853
h-index	25	24
i10-index	42	41

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Co-authors

Xingquan (Hill) ZhuFlorida Atlantic UniversityVerified email at fau.edu
Shirui PanMonash UniversityVerified email at monash.edu
Chengqi ZhangProfessor of Information TechnologyVerified email at uts.edu.au
Chuan ZhouAcademy of Mathematics and Systems Science, Chinese Academy of SciencesVerified email at amss.ac.cn
Bo DuSchool of Computer, Wuhan University, Centre for Quantum Computation and Intelligent SystemsVerified email at whu.edu.cn
Guodong LongUTS: University of Technology SydneyVerified email at uts.edu.au
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Lefei ZhangSchool of Computer Science, Wuhan UniversityVerified email at whu.edu.cn
Li GaoTencent Inc.Verified email at tencent.com
Zhibin Hong (洪智滨)Baidu Inc.Verified email at student.uts.edu.au
Xindong WuMininglamp Academy of Sciences; Hefei University of TechnologyVerified email at hfut.edu.cn
Paul J KennedyProfessor, School of Computer Science, University of Technology, SydneyVerified email at uts.edu.au
Yisen WangGraduate from Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Shu-Tao XiaTsinghua UniversityVerified email at sz.tsinghua.edu.cn
Liangxiao JiangChina University of GeosciencesVerified email at cug.edu.cn
Longbing CaoUniversity of Technology Sydney, AustraliaVerified email at uts.edu.au
Quan Z. (Michael) ShengFull Professor, Department of Computing, Macquarie University, Sydney, AustraliaVerified email at mq.edu.au
Ying-Jie TianChinese Academy of SciencesVerified email at gucas.ac.cn
Ivor W. TsangResearch Director & Professor of AI, Centre for AI, University of Technology SydneyVerified email at uts.edu.au
Jie LU (FIEEE, FIFSA)Distinguished Professor, Associate Dean (Research), Director of Center for Artificial IntelligenceVerified email at uts.edu.au

JIA WU

Macquarie University

Verified email at mq.edu.au - Homepage

Data Mining Graph Mining Social Networks


Title	Cited by	Year
Tri-party deep network representation S Pan, J Wu, X Zhu, C Zhang, Y Wang Network 11 (9), 12, 2016	205	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	185	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	105	2016
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	72	2014
Boosting for multi-graph classification J Wu, S Pan, X Zhu, Z Cai IEEE transactions on cybernetics 45 (3), 416-429, 2014	71	2014
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	64	2011
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	59	2014
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	55	2015
Multiple structure-view learning for graph classification J Wu, S Pan, X Zhu, C Zhang, SY Philip IEEE transactions on neural networks and learning systems 29 (7), 3236-3251, 2017	48	2017
CogBoost: Boosting for fast cost-sensitive graph classification S Pan, J Wu, X Zhu IEEE Transactions on Knowledge and Data Engineering 27 (11), 2933-2946, 2015	45	2015
Positive and unlabeled multi-graph learning J Wu, S Pan, X Zhu, C Zhang, X Wu Ieee transactions on cybernetics 47 (4), 818-829, 2016	43	2016
Memetic extreme learning machine Y Zhang, J Wu, Z Cai, P Zhang, L Chen Pattern Recognition 58, 135-148, 2016	39	2016
A naive Bayes probability estimation model based on self-adaptive differential evolution J Wu, Z Cai Journal of Intelligent Information Systems 42 (3), 671-694, 2014	36	2014
Sode: Self-adaptive one-dependence estimators for classification J Wu, S Pan, X Zhu, P Zhang, C Zhang Pattern Recognition 51, 358-377, 2016	35	2016
Finding the best not the most: regularized loss minimization subgraph selection for graph classification S Pan, J Wu, X Zhu, G Long, C Zhang Pattern Recognition 48 (11), 3783-3796, 2015	35	2015
Multi-graph-view learning for graph classification J Wu, Z Hong, S Pan, X Zhu, Z Cai, C Zhang 2014 IEEE International Conference on Data Mining, 590-599, 2014	34	2014
Self-adaptive probability estimation for naive bayes classification J Wu, Z Cai, X Zhu The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013	32	2013
Joint structure feature exploration and regularization for multi-task graph classification S Pan, J Wu, X Zhu, C Zhang, SY Philip IEEE Transactions on Knowledge and Data Engineering 28 (3), 715-728, 2015	30	2015
Hybrid dynamic k–nearest–neighbour and distance and attribute weighted method for classification J Wu, Z Cai, S Ao International Journal of Computer Applications in Technology 43 (4), 378-384, 2012	30	2012
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	29	2016

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