| Multi-view clustering via multi-manifold regularized non-negative matrix factorization L Zong, X Zhang, L Zhao, H Yu, Q Zhao Neural Networks 88, 74-89, 2017 | 272 | 2017 |
| Spectral perturbation meets incomplete multi-view data H Wang, L Zong, B Liu, Y Yang, W Zhou arXiv preprint arXiv:1906.00098, 2019 | 112 | 2019 |
| 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 | 93 | 2018 |
| 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 | 66 | 2015 |
| 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 | 57 | 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 | 54 | 2022 |
| Multi-view clustering on unmapped data via constrained non-negative matrix factorization L Zong, X Zhang, X Liu Neural Networks 108, 155-171, 2018 | 33 | 2018 |
| Sampling for nyström extension-based spectral clustering: Incremental perspective and novel analysis X Zhang, L Zong, Q You, X Yong ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (1), 1-25, 2016 | 23 | 2016 |
| Multi-view clustering via clusterwise weights learning Q Zhao, L Zong, X Zhang, X Liu, H Yu Knowledge-Based Systems 193, 105459, 2020 | 18 | 2020 |
| Multi-view clustering via graph regularized symmetric nonnegative matrix factorization X Zhang, Z Wang, L Zong, H Yu 2016 IEEE international conference on cloud computing and big data analysis …, 2016 | 15 | 2016 |
| FedCMR: Federated cross-modal retrieval L Zong, Q Xie, J Zhou, P Wu, X Zhang, B Xu Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 14 | 2021 |
| Multi-view clustering on data with partial instances and clusters L Zong, X Zhang, X Liu, H Yu Neural Networks 129, 19-30, 2020 | 13 | 2020 |
| Self-guided deep multi-view subspace clustering network B Cui, H Yu, L Zong, Z Cheng 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 12 | 2021 |
| Local linear neighbor reconstruction for multi-view data L Zong, X Zhang, H Yu, Q Zhao, F Ding Pattern Recognition Letters 84, 56-62, 2016 | 12 | 2016 |
| Transductive prototypical network for few-shot classification X Liu, P Liu, L Zong 2020 IEEE International Conference on Image Processing (ICIP), 1671-1675, 2020 | 11 | 2020 |
| Multimodal clustering via deep commonness and uniqueness mining L Zong, F Miao, X Zhang, B Xu Proceedings of the 29th ACM international conference on information …, 2020 | 11 | 2020 |
| End-to-end deep multimodal clustering X Zhang, J Mu, L Zong, X Yang 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 10 | 2020 |
| Deep multimodal clustering with cross reconstruction X Zhang, X Tang, L Zong, X Liu, J Mu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 305-317, 2020 | 10 | 2020 |
| Self-paced learning based multi-view spectral clustering H Yu, Y Lian, L Zong, L Tian 2017 IEEE 29th International Conference on Tools with Artificial …, 2017 | 7 | 2017 |
Xianchao ZhangDalian University of TechnologyVerified email at dlut.edu.cn
