| 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 | 175 | 2010 |
| Graph neural architecture search Y Gao, H Yang, P Zhang, C Zhou, Y Hu International joint conference on artificial intelligence, 2021 | 160 | 2021 |
| 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 | 154 | 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 | 135 | 2008 |
| 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 | 124 | 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 | 121 | 2010 |
| 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 | 120 | 2015 |
| 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 | 120 | 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 | 113 | 2017 |
| 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 | 111 | 2011 |
| 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 | 110 | 2018 |
| Graphnas: Graph neural architecture search with reinforcement learning Y Gao, H Yang, P Zhang, C Zhou, Y Hu arXiv preprint arXiv:1904.09981, 2019 | 106 | 2019 |
| Transformed ℓ1 regularization for learning sparse deep neural networks R Ma, J Miao, L Niu, P Zhang Neural Networks 119, 286-298, 2019 | 99 | 2019 |
| 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 | 97 | 2013 |
| 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 | 96 | 2014 |
| 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 | 94 | 2009 |
| 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 | 93 | 2018 |
| 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 | 88 | 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 | 86 | 2014 |
| 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 | 82 | 2016 |
Chuan ZhouAcademy of Mathematics and Systems Science, Chinese Academy of Sciences在 amss.ac.cn 的电子邮件经过验证
