Shirui Pan - Google Scholar Citations

Cited by

	All	Since 2014
Citations	1755	1738
h-index	22	22
i10-index	34	34

820

410

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615

201220132014201520162017201820196 6 26 94 105 243 443 807

Co-authors

Chengqi ZhangProfessor of Information TechnologyVerified email at uts.edu.au
Xingquan (Hill) ZhuFlorida Atlantic UniversityVerified email at fau.edu
JIA WUMacquarie UniversityVerified email at mq.edu.au
Guodong LongUTS: University of Technology SydneyVerified email at uts.edu.au
Peng Zhang @ Ant FinancialAnt FinancialVerified email at alibaba-inc.com
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Zonghan WuUniversity of Technology SydneyVerified email at student.uts.edu.au
Tianyi ZhouUniversity of Washington, SeattleVerified email at washington.edu
Tao ShenPhD Candidate, University of Technology SydneyVerified email at student.uts.edu.au
Xindong WuMininglamp Academy of Sciences; Hefei University of TechnologyVerified email at hfut.edu.cn
Fei XiongBeijing Jiaotong UniversityVerified email at bjtu.edu.cn
Chuan ZhouAcademy of Mathematics and Systems Science, Chinese Academy of SciencesVerified email at amss.ac.cn
Ivor W. TsangResearch Director & Professor of AI, Centre for AI, University of Technology SydneyVerified email at uts.edu.au
Ting GuoUniversity of Technology, SydneyVerified email at uts.edu.au
Li GaoTencent Inc.Verified email at tencent.com
Yixin ChenProfessor, Computer Science Department, Washington UniversityVerified email at cse.wustl.edu
Lianhua ChiLecturer at La Trobe UniversityVerified email at latrobe.edu.au
Zheng YanUniversity of Technology SydneyVerified email at uts.edu.au
Bo DuSchool of Computer, Wuhan University, Centre for Quantum Computation and Intelligent SystemsVerified email at whu.edu.cn
Gholamreza (Reza) HaffariAssociate Professor, Faculty of Information Technology, Monash UniversityVerified email at monash.edu

Shirui Pan

Monash University

Verified email at monash.edu - Homepage

Data Mining Machine Learning Deep Learning Graph Analytics Graph Neural Networks


Title	Cited by	Year
DiSAN: Directional self-attention network for rnn/cnn-free language understanding T Shen, T Zhou, G Long, J Jiang, S Pan, C Zhang AAAI, 2018	195	2018
Tri-Party Deep Network Representation S Pan, J Wu, X Zhu, C Zhang, Y Wang IJCAI 16-The 25th International Joint Conference on Artificial Intelligence …, 2016	194	2016
A comprehensive survey on graph neural networks Z Wu, S Pan, F Chen, G Long, C Zhang, PS Yu arXiv preprint arXiv:1901.00596, 2019	188	2019
An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering Y Wang, W Zhang, L Wu, X Lin, M Fang, S Pan IJCAI 16-The 25th International Joint Conference on Artificial Intelligence, 2016	119*	2016
Adversarially Regularized Graph Autoencoder for Graph Embedding. S Pan, R Hu, G Long, J Jiang, L Yao, C Zhang IJCAI, 2609-2615, 2018	79	2018
Boosting for multi-graph classification J Wu, S Pan, X Zhu, Z Cai IEEE transactions on cybernetics 45 (3), 416-429, 2014	71	2014
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	57	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	52	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	47	2017
MGAE: Marginalized graph autoencoder for graph clustering C Wang, S Pan, G Long, X Zhu, J Jiang CIKM 2017 - Proceedings of the 2017 ACM on Conference on Information and …, 2017	43	2017
Positive and Unlabeled Multi-Graph Learning J Wu, S Pan, X Zhu, C Zhang, X Wu IEEE Transactions on Cybernetics, 2017	43	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	40	2015
Graph stream classification using labeled and unlabeled graphs S Pan, X Zhu, C Zhang, SY Philip 2013 IEEE 29th International Conference on Data Engineering (ICDE), 398-409, 2013	38	2013
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	34	2015
Multi-graph-view learning for graph classification J Wu, Z Hong, S Pan, X Zhu, Z Cai, C Zhang ICDM'14-2014 IEEE International Conference on Data Mining, 590-599, 2014	33	2014
Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification S Pan, J Wu, X Zhu, C Zhang, P Yu IEEE Transactions on Knowledge and Data Engineering, 2016	29	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, 2017	27	2017
Graph classification with imbalanced class distributions and noise S Pan, X Zhu IJCAI'13-Proceedings of the Twenty-Third international joint conference on …, 2013	27	2013
Exploiting Attribute Correlations: A Novel Trace Lasso based Weakly Supervised Dictionary Learning Method L Wu, Y Wang, S Pan IEEE Transactions on Cybernetics, 2016	25	2016

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