Peng Zhang

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Chuan ZhouAcademy of Mathematics and Systems Science, Chinese Academy of SciencesVerified email at amss.ac.cn
Yong ShiProfessor, University of Chinese Academy of SciencesVerified email at ucas.ac.cn
Xingquan (Hill) ZhuIEEE Fellow, Dept. of Electrical Eng. and Comp. Science, Florida Atlantic UniversityVerified email at fau.edu
Chengqi ZhangProfessor of Information TechnologyVerified email at uts.edu.au
JIA WUMacquarie UniversityVerified email at mq.edu.au
Zhao LiAdjunct Professor, Zhejiang University, Link2Do Tech, Zhejiang Lab, Alibaba GroupVerified email at zju.edu.cn
Ying-Jie TianChinese Academy of SciencesVerified email at gucas.ac.cn
Hong YangGuangzhou UniversityVerified email at gzhu.edu.cn
Haishuai WangHarvard UniversityVerified email at hms.harvard.edu
Ling Chenuniversity of technology sydneyVerified email at uts.edu.au
Shirui PanFull Professor, ARC Future Fellow, FQA, Griffith UniversityVerified email at griffith.edu.au
Qin ZhangShenzhen UniversityVerified email at szu.edu.cn
Xindong WuHefei University of TechnologyVerified email at hfut.edu.cn
Byron J. GaoAssociate Professor of Computer Science, Texas State UniversityVerified email at txstate.edu
Jing HeUniversity of OxfordVerified email at ndcn.ox.ac.uk
xiaodong linRutgers UniversityVerified email at business.rutgers.edu
Yanchun ZhangZhejiang Normal University，Pengcheng Laboratory，Victoria UniversityVerified email at vu.edu.au
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
Wei Ding, Fellow of IEEE, AAIAProfessor of Computer Science, University of Massachusetts BostonVerified email at umb.edu
Xiaohui LiuProfessor of Computing, Brunel UniversityVerified email at brunel.ac.uk

Peng Zhang

Professor, Guangzhou University

Verified email at gzhu.edu.cn

Data streams graph neural networks automated machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Active learning from stream data using optimal weight classifier ensemble X Zhu, P Zhang, X Lin, Y Shi IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2010	170	2010
Active learning from data streams X Zhu, P Zhang, X Lin, Y Shi Seventh IEEE International Conference on Data Mining (ICDM 2007), 757-762, 2007	144	2007
Categorizing and mining concept drifting data streams P Zhang, X Zhu, Y Shi Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	132	2008
Graph neural architecture search Y Gao, H Yang, P Zhang, C Zhou, Y Hu International joint conference on artificial intelligence, 2021	126	2021
Personalized influence maximization on social networks J Guo, P Zhang, C Zhou, Y Cao, L Guo Proceedings of the 22nd ACM international conference on Information …, 2013	121	2013
Classifier and cluster ensembles for mining concept drifting data streams P Zhang, X Zhu, J Tan, L Guo 2010 IEEE International Conference on Data Mining, 1175-1180, 2010	116	2010
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	115	2015
Multiview privileged support vector machines J Tang, Y Tian, P Zhang, X Liu IEEE transactions on neural networks and learning systems 29 (8), 3463-3477, 2017	104	2017
On the upper bounds of spread for greedy algorithms in social network influence maximization C Zhou, P Zhang, W Zang, L Guo IEEE Transactions on Knowledge and Data Engineering 27 (10), 2770-2783, 2015	104	2015
Robust ensemble learning for mining noisy data streams P Zhang, X Zhu, Y Shi, L Guo, X Wu Decision Support Systems 50 (2), 469-479, 2011	101	2011
Mining data streams with labeled and unlabeled training examples P Zhang, X Zhu, L Guo 2009 Ninth IEEE International Conference on Data Mining, 627-636, 2009	95	2009
Combining heterogenous social and geographical information for event recommendation Z Qiao, P Zhang, Y Cao, C Zhou, L Guo, B Fang Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014	94	2014
Binarized attributed network embedding H Yang, S Pan, P Zhang, L Chen, D Lian, C Zhang 2018 IEEE International Conference on Data Mining (ICDM), 1476-1481, 2018	92	2018
Ublf: An upper bound based approach to discover influential nodes in social networks C Zhou, P Zhang, J Guo, X Zhu, L Guo 2013 IEEE 13th International Conference on Data Mining, 907-916, 2013	92	2013
Graphnas: Graph neural architecture search with reinforcement learning Y Gao, H Yang, P Zhang, C Zhou, Y Hu arXiv preprint arXiv:1904.09981, 2019	88	2019
E-tree: An efficient indexing structure for ensemble models on data streams P Zhang, C Zhou, P Wang, BJ Gao, X Zhu, L Guo IEEE Transactions on Knowledge and Data engineering 27 (2), 461-474, 2014	87	2014
Event recommendation in event-based social networks Z Qiao, P Zhang, C Zhou, Y Cao, L Guo, Y Zhang Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014	82	2014
Transformed ℓ1 regularization for learning sparse deep neural networks R Ma, J Miao, L Niu, P Zhang Neural Networks 119, 286-298, 2019	78	2019
When ensemble learning meets deep learning: a new deep support vector machine for classification Z Qi, B Wang, Y Tian, P Zhang Knowledge-Based Systems 107, 54-60, 2016	77	2016
Salient subsequence learning for time series clustering Q Zhang, J Wu, P Zhang, G Long, C Zhang IEEE transactions on pattern analysis and machine intelligence 41 (9), 2193-2207, 2018	76	2018

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