| One-pass multi-view clustering for large-scale data J Liu, X Liu, Y Yang, L Liu, S Wang, W Liang, J Shi Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 99 | 2021 |
| Self-representation subspace clustering for incomplete multi-view data J Liu, X Liu, Y Zhang, P Zhang, W Tu, S Wang, S Zhou, W Liang, S Wang, ... Proceedings of the 29th ACM international conference on multimedia, 2726-2734, 2021 | 86 | 2021 |
| Multi-view spectral clustering with high-order optimal neighborhood laplacian matrix W Liang, S Zhou, J Xiong, X Liu, S Wang, E Zhu, Z Cai, X Xu IEEE Transactions on Knowledge and Data Engineering 34 (7), 3418-3430, 2020 | 80 | 2020 |
| Auto-weighted multi-view clustering for large-scale data X Wan, X Liu, J Liu, S Wang, Y Wen, W Liang, E Zhu, Z Liu, L Zhou Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 10078 …, 2023 | 67 | 2023 |
| Continual multi-view clustering X Wan, J Liu, W Liang, X Liu, Y Wen, E Zhu Proceedings of the 30th ACM International Conference on Multimedia, 3676-3684, 2022 | 50 | 2022 |
| Unpaired multi-view graph clustering with cross-view structure matching Y Wen, S Wang, Q Liao, W Liang, K Liang, X Wan, X Liu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 41 | 2023 |
| Robust Graph-based Multi-view Clustering W Liang, X Liu, S Zhou, J Liu, S Wang, E Zhu AAAI 2022, 2022 | 29 | 2022 |
| Fast continual multi-view clustering with incomplete views X Wan, B Xiao, X Liu, J Liu, W Liang, E Zhu IEEE Transactions on Image Processing, 2024 | 26 | 2024 |
| Scalable incomplete multi-view clustering with structure alignment Y Wen, S Wang, K Liang, W Liang, X Wan, X Liu, S Liu, J Liu, E Zhu Proceedings of the 31st ACM International Conference on Multimedia, 3031-3040, 2023 | 15 | 2023 |
| Late fusion multiview clustering via min-max optimization M Li, X Liu, Y Zhang, W Liang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 9 | 2023 |
| Multi-view clustering with learned bipartite graph M Li, W Liang, X Liu IEEE Access 9, 87952-87961, 2021 | 9 | 2021 |
| Consistency of multiple kernel clustering W Liang, X Liu, Y Liu, C Ma, Y Zhao, Z Liu, E Zhu International Conference on Machine Learning, 20650-20676, 2023 | 8 | 2023 |
| Towards resource-friendly, extensible and stable incomplete multi-view clustering S Yu, Z Dong, S Wang, X Wan, Y Liu, W Liang, P Zhang, W Tu, X Liu Forty-first International Conference on Machine Learning, 2024 | 6 | 2024 |
| Sample weighted multiple kernel k-means via min-max optimization Y Zhang, W Liang, X Liu, S Dai, S Wang, L Xu, E Zhu Proceedings of the 30th ACM International Conference on Multimedia, 1679-1687, 2022 | 6 | 2022 |
| On the Consistency and Large-Scale Extension of Multiple Kernel Clustering W Liang, C Tang, X Liu, Y Liu, J Liu, E Zhu, K He IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 5 | 2024 |
| Stability and generalization of kernel clustering: From single kernel to multiple kernel W Liang, X Liu, Y Liu, JJ Huang, S Wang, J Liu, Y Zhang, E Zhu Advances in Neural Information Processing Systems 35, 33633-33645, 2022 | 5 | 2022 |
| A Lightweight Anchor-Based Incremental Framework for Multi-view Clustering Q Qu, X Wan, W Liang, J Liu, Y Feng, H Xu, X Liu, E Zhu Proceedings of the 32nd ACM International Conference on Multimedia, 8652-8661, 2024 | 1 | 2024 |
| Trade-off between efficiency and effectiveness: A late fusion multi-view clustering algorithm Y Zhao, W Liang, J Lu, X Chen, N Kong Computers, Materials & Continua 66 (3), 2709-2722, 2021 | 1 | 2021 |
| Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation W Liang, E Zhu, S Yu, H Xu, X Zhu, X Liu Forty-first International Conference on Machine Learning, 0 | 1 | |
Xinwang LiuSenior Member of IEEE and CCF, NUDTE-mailová adresa ověřena na: nudt.edu.cn