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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
1762010
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
1542007
Graph neural architecture search
Y Gao, H Yang, P Zhang, C Zhou, Y Hu
International joint conference on artificial intelligence, 2021
1532021
Categorizing and mining concept drifting data streams
P Zhang, X Zhu, Y Shi
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
1362008
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
1252013
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
1212010
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
1192015
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
1162015
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
1132017
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
1132011
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
1092018
Graphnas: Graph neural architecture search with reinforcement learning
Y Gao, H Yang, P Zhang, C Zhou, Y Hu
arXiv preprint arXiv:1904.09981, 2019
1022019
Transformed ℓ1 regularization for learning sparse deep neural networks
R Ma, J Miao, L Niu, P Zhang
Neural Networks 119, 286-298, 2019
992019
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
982013
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
952014
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
942009
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
922018
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
882014
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
842014
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
822016
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