| Efficient deep embedded subspace clustering J Cai, J Fan, W Guo, S Wang, Y Zhang, Z Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 81 | 2022 |
| An overview of unsupervised deep feature representation for text categorization S Wang, J Cai, Q Lin, W Guo IEEE Transactions on Computational Social Systems 6 (3), 504-517, 2019 | 56 | 2019 |
| Unsupervised deep clustering via contractive feature representation and focal loss J Cai, S Wang, C Xu, W Guo Pattern Recognition 123, 108386, 2022 | 50 | 2022 |
| Unsupervised embedded feature learning for deep clustering with stacked sparse auto-encoder J Cai, S Wang, W Guo Expert Systems with Applications 186, 115729, 2021 | 35 | 2021 |
| Deep image clustering by fusing contrastive learning and neighbor relation mining C Xu, R Lin, J Cai, S Wang Knowledge-Based Systems 238, 107967, 2022 | 23 | 2022 |
| Perturbation Learning Based Anomaly Detection J Cai, J Fan Advances in Neural Information Processing Systems (NeurIPS) 35, 14317-14330, 2022 | 19 | 2022 |
| Unsupervised discriminative feature representation via adversarial auto-encoder W Guo, J Cai, S Wang Applied Intelligence 50 (4), 1155-1171, 2020 | 19 | 2020 |
| Unsupervised deep discriminant analysis based clustering J Cai, W Guo, J Fan arXiv preprint arXiv:2206.04686, 2022 | 5 | 2022 |
| Stacked sparse auto-encoder for deep clustering J Cai, S Wang, W Guo 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2019 | 4 | 2019 |
| Deep Orthogonal Hypersphere Compression for Anomaly Detection Y Zhang, Y Sun, J Cai, J Fan International Conference on Learning Representations (ICLR Spotlight), 2023 | 3* | 2023 |
| Self-discriminative modeling for anomalous graph detection J Cai, Y Zhang, J Fan arXiv preprint arXiv:2310.06261, 2023 | 3 | 2023 |
| Deep graph-level clustering using pseudo-label-guided mutual information maximization network J Cai, Y Han, W Guo, J Fan Neural Computing and Applications 36 (16), 9551-9566, 2024 | 2 | 2024 |
| Wasserstein embedding learning for deep clustering: A generative approach J Cai, Y Zhang, S Wang, J Fan, W Guo IEEE Transactions on Multimedia, 2024 | 2 | 2024 |
| Unsupervised deep feature representation using adversarial auto-encoder J Cai, S Wang, W Guo 2019 IEEE International Conference on Industrial Cyber Physical Systems …, 2019 | 2 | 2019 |
| Label correction using contrastive prototypical classifier for noisy label learning C Xu, R Lin, J Cai, S Wang Information Sciences 649, 119647, 2023 | 1 | 2023 |
| Deep Masked Graph Node Clustering J Yang, J Cai, L Zhong, Y Pi, S Wang IEEE Transactions on Computational Social Systems, 2024 | | 2024 |
| FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework J Cai, Y Zhang, Z Lu, W Guo, S Ng arXiv preprint arXiv:2402.12761, 2024 | | 2024 |
| Kernel Readout for Graph Neural Networks J Yu, Z Wu, J Cai, AL Jia, J Fan | | |
| UNSUPERVISED CLUSTERING FOR DISTORTED IMAGE WITH DENOISING FEATURE LEARNING Q Lin, J Cai, G Liu | | |
Shiping WangFuzhou University在 fzu.edu.cn 的电子邮件经过验证
