| A comprehensive survey on multi-view clustering U Fang, M Li, J Li, L Gao, T Jia, Y Zhang IEEE Transactions on Knowledge and Data Engineering 35 (12), 12350-12368, 2023 | 145 | 2023 |
| Gomic: Multi-view image clustering via self-supervised contrastive heterogeneous graph co-learning U Fang, J Li, N Akhtar, M Li, Y Jia World Wide Web 26 (4), 1667-1683, 2023 | 37 | 2023 |
| Self-supervised cross-iterative clustering for unlabeled plant disease images U Fang, J Li, X Lu, L Gao, M Ali, Y Xiang Neurocomputing 456, 36-48, 2021 | 30 | 2021 |
| Robust image clustering via context-aware contrastive graph learning U Fang, J Li, X Lu, A Mian, Z Gu Pattern Recognition 138, 109340, 2023 | 29 | 2023 |
| Supervised Contrastive Learning for Product Classification J Azizi, Sahel and Fang, Uno and Adibi, Sasan and Li International Conference on Advanced Data Mining and Applications, 341--355, 2022 | 9 | 2022 |
| Chaotic-to-fine clustering for unlabeled plant disease images U Fang, J Li, X Lu, M Ali, L Gao, Y Xiang arXiv preprint arXiv:2101.06820, 2021 | 2 | 2021 |
