Peng Zhang
Peng Zhang
Professor, Guangzhou University
Verified email at gzhu.edu.cn
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
1402010
Categorizing and mining concept drifting data streams
P Zhang, X Zhu, Y Shi
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
1232008
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
1122007
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
1012010
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
942013
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
942011
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
892009
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
772014
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
742015
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
742013
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
722014
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
672015
Memetic extreme learning machine
Y Zhang, J Wu, Z Cai, P Zhang, L Chen
Pattern Recognition 58, 135-148, 2016
622016
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
622014
Enabling fast prediction for ensemble models on data streams
P Zhang, J Li, P Wang, BJ Gao, X Zhu, L Guo
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
612011
Enabling fast lazy learning for data streams
P Zhang, BJ Gao, X Zhu, L Guo
2011 IEEE 11th International Conference on Data Mining, 932-941, 2011
552011
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
542017
Mining hot topics from twitter streams
J Guo, P Zhang, L Guo
Procedia Computer Science 9, 2008-2011, 2012
492012
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
482016
Several multi-criteria programming methods for classification
J Zhang, Y Shi, P Zhang
Computers & Operations Research 36 (3), 823-836, 2009
472009
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Articles 1–20