| Multi-Level Feature Learning for Contrastive Multi-View Clustering J Xu, H Tang, Y Ren, L Peng, X Zhu, L He CVPR, 16051-16060, 2022 | 197 | 2022 |
| Deep embedded multi-view clustering with collaborative training J Xu, Y Ren, G Li, L Pan, C Zhu, Z Xu Information Sciences 573, 279-290, 2021 | 145 | 2021 |
| Simple unsupervised graph representation learning Y Mo, L Peng, J Xu, X Shi, X Zhu AAAI, 7797-7805, 2022 | 119 | 2022 |
| Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering J Xu, Y Ren, H Tang, Z Yang, L Pan, Y Yang, X Pu, SY Philip, L He IEEE Transactions on Knowledge and Data Engineering 35 (7), 7470-7482, 2023 | 115 | 2023 |
| Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering J Xu, Y Ren, H Tang, X Pu, X Zhu, M Zeng, L He ICCV, 9234-9243, 2021 | 112 | 2021 |
| Deep clustering: A comprehensive survey Y Ren, J Pu, Z Yang, J Xu, G Li, X Pu, SY Philip, L He IEEE Transactions on Neural Networks and Learning Systems, 2024 | 85 | 2024 |
| Deep Incomplete Multi-view Clustering via Mining Cluster Complementarity J Xu, C Li, Y Ren, L Peng, Y Mo, X Shi, X Zhu AAAI, 8761-8769, 2022 | 69 | 2022 |
| Adaptive Feature Projection with Distribution Alignment for Deep Incomplete Multi-view Clustering J Xu, C Li, L Peng, Y Ren, X Shi, HT Shen, X Zhu IEEE Transactions on Image Processing 32, 1354-1366, 2023 | 63 | 2023 |
| GRLC: Graph representation learning with constraints L Peng, Y Mo, J Xu, J Shen, X Shi, X Li, HT Shen, X Zhu IEEE Transactions on Neural Networks and Learning Systems 35, 8609-8622, 2024 | 35 | 2024 |
| UNTIE: Clustering analysis with disentanglement in multi-view information fusion J Xu, Y Ren, X Shi, HT Shen, X Zhu Information Fusion 100, 101937, 2023 | 19 | 2023 |
| GATE: Graph CCA for temporal self-supervised learning for label-efficient fMRI analysis L Peng, N Wang, J Xu, X Zhu, X Li IEEE Transactions on Medical Imaging 42 (2), 391-402, 2022 | 17 | 2022 |
| Dual Label-Guided Graph Refinement for Multi-View Graph Clustering Y Ling, J Chen, Y Ren, X Pu, J Xu, X Zhu, L He AAAI, 8791-8798, 2023 | 16 | 2023 |
| Dementia analysis from functional connectivity network with graph neural networks L Wang, W Yuan, L Zeng, J Xu, Y Mo, X Zhao, L Peng Information Processing & Management 59 (3), 102901, 2022 | 12 | 2022 |
| A novel federated multi-view clustering method for unaligned and incomplete data fusion Y Ren, X Chen, J Xu, J Pu, Y Huang, X Pu, C Zhu, X Zhu, Z Hao, L He Information Fusion 108, 102357, 2024 | 8 | 2024 |
| Federated Deep Multi-View Clustering with Global Self-Supervision X Chen, J Xu, Y Ren, X Pu, C Zhu, X Zhu, Z Hao, L He ACM MM, 3498-3506, 2023 | 8 | 2023 |
| Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration J Xu, S Chen, Y Ren, X Shi, HT Shen, G Niu, X Zhu NeurIPS 36, 1119-1131, 2023 | 7 | 2023 |
| DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation Z Yang, Y Ren, Z Wu, M Zeng, J Xu, Y Yang, X Pu, SY Philip, L He Neurocomputing 526, 109-120, 2023 | 5 | 2023 |
| Variational graph generator for multi-view graph clustering J Chen, Y Ling, J Xu, Y Ren, S Huang, X Pu, Z Hao, PS Yu, L He arXiv preprint arXiv:2210.07011, 2022 | 4 | 2022 |
| Simple Contrastive Multi-View Clustering with Data-Level Fusion C Luo, J Xu*, Y Ren, J Ma, X Zhu IJCAI, 4697-4705, 2024 | | 2024 |
| Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios J Xu, Y Ren, X Wang, L Feng, Z Zhang, G Niu, X Zhu CVPR, 22957-22966, 2024 | | 2024 |
Yazhou Ren (任亚洲)Associate Professor of Computer Science, University of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
