| Tensor-SVD based graph learning for multi-view subspace clustering Q Gao, W Xia, Z Wan, D Xie, P Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3930-3937, 2020 | 135 | 2020 |
| Enhanced Tensor RPCA and Its Application DT Quanxue Gao, Pu Zhang, Wei Xia, Deyan Xie, Xinbo Gao IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020 | 100 | 2020 |
| Tensorized bipartite graph learning for multi-view clustering W Xia, Q Gao, Q Wang, X Gao, C Ding, D Tao IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 5187-5202, 2022 | 83 | 2022 |
| Self-supervised graph convolutional network for multi-view clustering W Xia, Q Wang, Q Gao, X Zhang, X Gao IEEE Transactions on Multimedia 24, 3182-3192, 2021 | 73 | 2021 |
| Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm W Xia, X Zhang, Q Gao, X Shu, J Han, X Gao IEEE Transactions on Cybernetics, 2021 | 62 | 2021 |
| Low-rank tensor constrained co-regularized multi-view spectral clustering H Xu, X Zhang, W Xia, Q Gao, X Gao Neural Networks 132, 245-252, 2020 | 56 | 2020 |
| Tensor completion-based incomplete multiview clustering W Xia, Q Gao, Q Wang, X Gao IEEE Transactions on Cybernetics 52 (12), 13635-13644, 2022 | 42 | 2022 |
| Adversarial multiview clustering networks with adaptive fusion Q Wang, Z Tao, W Xia, Q Gao, X Cao, L Jiao IEEE transactions on neural networks and learning systems, 2022 | 38 | 2022 |
| Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation W Xia, S Wang, M Yang, Q Gao, J Han, X Gao Neural Networks 145, 1-9, 2022 | 38 | 2022 |
| Multiview spectral clustering with bipartite graph H Yang, Q Gao, W Xia, M Yang, X Gao IEEE Transactions on Image Processing 31, 3591-3605, 2022 | 31 | 2022 |
| Graph embedding contrastive multi-modal representation learning for clustering W Xia, T Wang, Q Gao, M Yang, X Gao IEEE Transactions on Image Processing 32, 1170-1183, 2023 | 28 | 2023 |
| Graph embedding clustering: Graph attention auto-encoder with cluster-specificity distribution H Xu, W Xia, Q Gao, J Han, X Gao Neural Networks 142, 221-230, 2021 | 26 | 2021 |
| Multi-view clustering by joint manifold learning and tensor nuclear norm D Xie, W Xia, Q Wang, Q Gao, S Xiao Neurocomputing 380, 105-114, 2020 | 22 | 2020 |
| Self-consistent contrastive attributed graph clustering with pseudo-label prompt W Xia, Q Wang, Q Gao, M Yang, X Gao IEEE Transactions on Multimedia, 2022 | 21 | 2022 |
| Self-supervised graph convolutional clustering by preserving latent distribution S Kou, W Xia, X Zhang, Q Gao, X Gao Neurocomputing 437, 218-226, 2021 | 15 | 2021 |
| Deep self-supervised t-SNE for multi-modal subspace clustering Q Wang, W Xia, Z Tao, Q Gao, X Cao Proceedings of the 29th ACM International Conference on Multimedia, 1748-1755, 2021 | 13 | 2021 |
| A multi-view clustering framework via integrating K-means and graph-cut H Lu, Q Gao, X Zhang, W Xia Neurocomputing 501, 609-617, 2022 | 12 | 2022 |
| Self-representation and class-specificity distribution based multi-view clustering Y Yun, W Xia, Y Zhang, Q Gao, X Gao Neurocomputing 437, 9-20, 2021 | 12 | 2021 |
| Cross-view classification by joint adversarial learning and class-specificity distribution S Deng, W Xia, Q Gao, X Gao Pattern Recognition 110, 107633, 2021 | 12 | 2021 |
| Self-supervised contrastive attributed graph clustering W Xia, Q Gao, M Yang, X Gao arXiv preprint arXiv:2110.08264, 2021 | 11 | 2021 |
Xinbo Gao（高新波）Xidian University & CQUPTVerified email at mail.xidian.edu.cn
