| Diversity-induced multi-view subspace clustering X Cao, C Zhang, H Fu, S Liu, H Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 814 | 2015 |
| Generalized latent multi-view subspace clustering C Zhang, H Fu, Q Hu, X Cao, Y Xie, D Tao, D Xu IEEE transactions on pattern analysis and machine intelligence 42 (1), 86-99, 2018 | 635 | 2018 |
| Low-rank tensor constrained multiview subspace clustering C Zhang, H Fu, S Liu, G Liu, X Cao Proceedings of the IEEE international conference on computer vision, 1582-1590, 2015 | 585 | 2015 |
| Latent multi-view subspace clustering C Zhang, Q Hu, H Fu, P Zhu, X Cao Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 578 | 2017 |
| Graph learning for multiview clustering K Zhan, C Zhang, J Guan, J Wang IEEE transactions on cybernetics 48 (10), 2887-2895, 2017 | 464 | 2017 |
| Disc-aware ensemble network for glaucoma screening from fundus image H Fu, J Cheng, Y Xu, C Zhang, DWK Wong, J Liu, X Cao IEEE transactions on medical imaging 37 (11), 2493-2501, 2018 | 411 | 2018 |
| Consistent and specific multi-view subspace clustering S Luo, C Zhang, W Zhang, X Cao Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 407 | 2018 |
| Trusted multi-view classification with dynamic evidential fusion Z Han, C Zhang, H Fu, JT Zhou IEEE transactions on pattern analysis and machine intelligence 45 (2), 2551-2566, 2023 | 348 | 2023 |
| Exclusivity-consistency regularized multi-view subspace clustering X Wang, X Guo, Z Lei, C Zhang, SZ Li Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 298 | 2017 |
| Learning a joint affinity graph for multiview subspace clustering C Tang, X Zhu, X Liu, M Li, P Wang, C Zhang, L Wang IEEE Transactions on Multimedia 21 (7), 1724-1736, 2018 | 272 | 2018 |
| Diagnosis of coronavirus disease 2019 (COVID-19) with structured latent multi-view representation learning H Kang, L Xia, F Yan, Z Wan, F Shi, H Yuan, H Jiang, D Wu, H Sui, ... IEEE transactions on medical imaging 39 (8), 2606-2614, 2020 | 271 | 2020 |
| Saliency detection for stereoscopic images based on depth confidence analysis and multiple cues fusion R Cong, J Lei, C Zhang, Q Huang, X Cao, C Hou IEEE Signal Processing Letters 23 (6), 819-823, 2016 | 253 | 2016 |
| Deep partial multi-view learning C Zhang, Y Cui, Z Han, JT Zhou, H Fu, Q Hu IEEE transactions on pattern analysis and machine intelligence 44 (5), 2402-2415, 2022 | 227 | 2022 |
| Ae2-nets: Autoencoder in autoencoder networks C Zhang, Y Liu, H Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 226 | 2019 |
| Subspace clustering guided unsupervised feature selection P Zhu, W Zhu, Q Hu, C Zhang, W Zuo Pattern Recognition 66, 364-374, 2017 | 208 | 2017 |
| Sketchnet: Sketch classification with web images H Zhang, S Liu, C Zhang, W Ren, R Wang, X Cao Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 183 | 2016 |
| Graph structure fusion for multiview clustering K Zhan, C Niu, C Chen, F Nie, C Zhang, Y Yang IEEE Transactions on Knowledge and Data Engineering 31 (10), 1984-1993, 2018 | 173 | 2018 |
| Multi-view subspace clustering with intactness-aware similarity X Wang, Z Lei, X Guo, C Zhang, H Shi, SZ Li Pattern Recognition 88, 50-63, 2019 | 164 | 2019 |
| Multi-label feature selection with missing labels P Zhu, Q Xu, Q Hu, C Zhang, H Zhao Pattern Recognition 74, 488-502, 2018 | 161 | 2018 |
| Flexible multi-view representation learning for subspace clustering. R Li, C Zhang, Q Hu, P Zhu, Z Wang IJCAI 2019, 2916-2922, 2019 | 150 | 2019 |
