| Multi-view Clustering via Late Fusion Alignment Maximization. S Wang, X Liu, E Zhu, C Tang, J Liu, J Hu, J Xia, J Yin IJCAI, 3778-3784, 2019 | 191 | 2019 |
| One pass late fusion multi-view clustering X Liu, L Liu, Q Liao, S Wang, Y Zhang, W Tu, C Tang, J Liu, E Zhu International conference on machine learning, 6850-6859, 2021 | 89 | 2021 |
| Multiview subspace clustering via co-training robust data representation J Liu, X Liu, Y Yang, X Guo, M Kloft, L He IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5177-5189, 2021 | 89 | 2021 |
| Simplemkkm: Simple multiple kernel k-means X Liu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 5174-5186, 2022 | 83 | 2022 |
| Highly-efficient incomplete large-scale multi-view clustering with consensus bipartite graph S Wang, X Liu, L Liu, W Tu, X Zhu, J Liu, S Zhou, E Zhu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 80 | 2022 |
| Optimal neighborhood multiple kernel clustering with adaptive local kernels J Liu, X Liu, J Xiong, Q Liao, S Zhou, S Wang, Y Yang IEEE Transactions on Knowledge and Data Engineering 34 (6), 2872-2885, 2020 | 58 | 2020 |
| 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 | 57 | 2021 |
| 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 | 55 | 2021 |
| Multi-view clustering via deep matrix factorization and partition alignment C Zhang, S Wang, J Liu, S Zhou, P Zhang, X Liu, E Zhu, C Zhang Proceedings of the 29th ACM international conference on multimedia, 4156-4164, 2021 | 46 | 2021 |
| Multi-view spectral clustering with optimal neighborhood Laplacian matrix S Zhou, X Liu, J Liu, X Guo, Y Zhao, E Zhu, Y Zhai, J Yin, W Gao Proceedings of the AAAI conference on artificial intelligence 34 (04), 6965-6972, 2020 | 44 | 2020 |
| Hierarchical multiple kernel clustering J Liu, X Liu, S Wang, S Zhou, Y Yang Proceedings of the AAAI conference on artificial intelligence 35 (10), 8671-8679, 2021 | 41 | 2021 |
| Localized simple multiple kernel k-means X Liu, S Zhou, L Liu, C Tang, S Wang, J Liu, Y Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 37 | 2021 |
| One-stage incomplete multi-view clustering via late fusion Y Zhang, X Liu, S Wang, J Liu, S Dai, E Zhu Proceedings of the 29th ACM international conference on multimedia, 2717-2725, 2021 | 32 | 2021 |
| 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 | 30 | 2022 |
| Maldetect: A structure of encrypted malware traffic detection J Liu, Y Zeng, J Shi, Y Yang, R Wang, L He Computers, Materials and Continua 60 (2), 721-739, 2019 | 28 | 2019 |
| 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 | 23 | 2023 |
| Multiple kernel clustering with dual noise minimization J Zhang, L Li, S Wang, J Liu, Y Liu, X Liu, E Zhu Proceedings of the 30th ACM International Conference on Multimedia, 3440-3450, 2022 | 19 | 2022 |
| Contrastive multi-view kernel learning J Liu, X Liu, Y Yang, Q Liao, Y Xia IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 17 | 2023 |
| Robust graph-based multi-view clustering W Liang, X Liu, S Zhou, J Liu, S Wang, E Zhu Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7462-7469, 2022 | 15 | 2022 |
| Multiview deep anomaly detection: A systematic exploration S Wang, J Liu, G Yu, X Liu, S Zhou, E Zhu, Y Yang, J Yin, W Yang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 8 | 2022 |
