| Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization X Zhang, L Zhao, L Zong, X Liu, H Yu 2014 IEEE International Conference on Data Mining, 1103-1108, 2014 | 260 | 2014 |
| Detecting spam and promoting campaigns in the twitter social network X Zhang, S Zhu, W Liang 2012 IEEE 12th international conference on data mining, 1194-1199, 2012 | 144 | 2012 |
| Local density adaptive similarity measurement for spectral clustering X Zhang, J Li, H Yu Pattern Recognition Letters 32 (2), 352-358, 2011 | 140 | 2011 |
| Weighted multi-view spectral clustering based on spectral perturbation L Zong, X Zhang, X Liu, H Yu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 87 | 2018 |
| Multi-task multi-view clustering X Zhang, X Zhang, H Liu, X Liu IEEE Transactions on Knowledge and Data Engineering 28 (12), 3324-3338, 2016 | 74 | 2016 |
| Discovering social spammers from multiple views H Shen, F Ma, X Zhang, L Zong, X Liu, W Liang Neurocomputing 225, 49-57, 2017 | 68 | 2017 |
| Constrained NMF-based multi-view clustering on unmapped data X Zhang, L Zong, X Liu, H Yu Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 64 | 2015 |
| Constructing biomedical domain-specific knowledge graph with minimum supervision J Yuan, Z Jin, H Guo, H Jin, X Zhang, T Smith, J Luo Knowledge and Information Systems 62, 317-336, 2020 | 60 | 2020 |
| Constrained clustering with nonnegative matrix factorization X Zhang, L Zong, X Liu, J Luo IEEE transactions on neural networks and learning systems 27 (7), 1514-1526, 2015 | 56 | 2015 |
| 网络最大流问题研究进展 张宪超， 陈国良， 万颖瑜 计算机研究与发展 40 (9), 1281-1292, 2003 | 56 | 2003 |
| Detecting spam and promoting campaigns in Twitter X Zhang, Z Li, S Zhu, W Liang ACM Transactions on the Web (TWEB) 10 (1), 1-28, 2016 | 46 | 2016 |
| A multifaceted approach to social multimedia-based prediction of elections Q You, L Cao, Y Cong, X Zhang, J Luo IEEE Transactions on Multimedia 17 (12), 2271-2280, 2015 | 46 | 2015 |
| Multi-task multi-view clustering for non-negative data X Zhang, X Zhang, H Liu Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 46 | 2015 |
| Deep anomaly detection with self-supervised learning and adversarial training X Zhang, J Mu, X Zhang, H Liu, L Zong, Y Li Pattern Recognition 121, 108234, 2022 | 45 | 2022 |
| Smart multi-task Bregman clustering and multi-task kernel clustering X Zhang, Xianchao and Zhang Twenty-Seventh AAAI Conference on Artificial Intelligence, 1034-1040, 2013 | 44* | 2013 |
| 蚁群聚类算法综述 张建华， 江贺， 张宪超 计算机工程与应用 42 (16), 171-174, 2006 | 42 | 2006 |
| Novel density-based and hierarchical density-based clustering algorithms for uncertain data X Zhang, H Liu, X Zhang Neural networks 93, 240-255, 2017 | 38 | 2017 |
| GLTM: a global and local word embedding-based topic model for short texts W Liang, R Feng, X Liu, Y Li, X Zhang IEEE access 6, 43612-43621, 2018 | 36 | 2018 |
| Self-Adapted Multi-Task Clustering. X Zhang, X Zhang, H Liu IJCAI, 2357-2363, 2016 | 35 | 2016 |
| Self-Adapted Multi-Task Clustering X Zhang, X Zhang, H Liu The 25th International Joint Conference on Artificial Intelligence (IJCAI-16 …, 2016 | 35 | 2016 |
Han LiuAssociate Professor, Dalian University of TechnologyVerified email at dlut.edu.cn
