JIA WU - Google Scholar

Cited by

	All	Since 2015
Citations	2399	2313
h-index	29	27
i10-index	52	51

660

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495

20112012201320142015201620172018201920207 9 17 48 117 149 332 564 647 493

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
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
Xindong WuMininglamp Academy of Sciences; Hefei University of TechnologyVerified email at hfut.edu.cn
Li GaoBaidu Inc.Verified email at baidu.com
Paul J KennedyProfessor, School of Computer Science, University of Technology, SydneyVerified email at uts.edu.au
Zhibin Hong (洪智滨)Baidu Inc.Verified email at baidu.com
Jian Yang 杨坚Professor, Department of Computing, Macquarie UniversityVerified email at mq.edu.au
Quan Z. (Michael) ShengFull Professor, Department of Computing, Macquarie University, Sydney, AustraliaVerified email at mq.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
Ying-Jie TianChinese Academy of SciencesVerified email at gucas.ac.cn
Longbing CaoUniversity of Technology Sydney, AustraliaVerified email at uts.edu.au
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 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	249	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	228	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	144	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	79	2014
Boosting for multi-graph classification J Wu, S Pan, X Zhu, Z Cai IEEE transactions on cybernetics 45 (3), 416-429, 2014	78	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	66	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	66	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	62	2014
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	52	2017
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	47	2018
Memetic extreme learning machine Y Zhang, J Wu, Z Cai, P Zhang, L Chen Pattern Recognition 58, 135-148, 2016	47	2016
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	44	2016
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	41	2018
Multi-instance learning with discriminative bag mapping J Wu, S Pan, X Zhu, C Zhang, X Wu IEEE Transactions on Knowledge and Data Engineering 30 (6), 1065-1080, 2018	40	2018
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	40	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	37	2015
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	37	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	36	2016
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	35	2015

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