| Deep spectral clustering using dual autoencoder network X Yang, C Deng, F Zheng, J Yan, W Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 311 | 2019 |
| Graph Debiased Contrastive Learning with Joint Representation Clustering. H Zhao, X Yang, Z Wang, E Yang, C Deng IJCAI, 3434-3440, 2021 | 149 | 2021 |
| Heterogeneous graph attention network for unsupervised multiple-target domain adaptation X Yang, C Deng, T Liu, D Tao IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (4), 1992-2003, 2020 | 129 | 2020 |
| Nearest neighbor matching for deep clustering Z Dang, C Deng, X Yang, K Wei, H Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 104 | 2021 |
| Adversarial learning for robust deep clustering X Yang, C Deng, K Wei, J Yan, W Liu Advances in Neural Information Processing Systems 33, 9098-9108, 2020 | 78 | 2020 |
| Lifelong Zero-Shot Learning. K Wei, C Deng, X Yang IJCAI, 551-557, 2020 | 73 | 2020 |
| Siamese contrastive embedding network for compositional zero-shot learning X Li, X Yang, K Wei, C Deng, M Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 69 | 2022 |
| Not just selection, but exploration: Online class-incremental continual learning via dual view consistency Y Gu, X Yang, K Wei, C Deng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 64 | 2022 |
| Saliency detection via a multiple self-weighted graph-based manifold ranking C Deng, X Yang, F Nie, D Tao IEEE Transactions on Multimedia 22 (4), 885-896, 2019 | 54 | 2019 |
| Self-training with progressive representation enhancement for unsupervised cross-domain person re-identification H Zhang, H Cao, X Yang, C Deng, D Tao IEEE Transactions on Image Processing 30, 5287-5298, 2021 | 42 | 2021 |
| Multi-scale fusion subspace clustering using similarity constraint Z Dang, C Deng, X Yang, H Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 39 | 2020 |
| Deep multiview collaborative clustering X Yang, C Deng, Z Dang, D Tao IEEE Transactions on Neural Networks and Learning Systems 34 (1), 516-526, 2021 | 36 | 2021 |
| SelfSAGCN: Self-supervised semantic alignment for graph convolution network X Yang, C Deng, Z Dang, K Wei, J Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 36 | 2021 |
| New l2,1-Norm Relaxation of Multi-Way Graph Cut for Clustering X Yang, C Deng, X Liu, F Nie Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 34 | 2018 |
| Incremental zero-shot learning K Wei, C Deng, X Yang, D Tao IEEE Transactions on Cybernetics 52 (12), 13788-13799, 2021 | 32 | 2021 |
| Doubly contrastive deep clustering Z Dang, C Deng, X Yang, H Huang arXiv preprint arXiv:2103.05484, 2021 | 27 | 2021 |
| Incremental embedding learning via zero-shot translation K Wei, C Deng, X Yang, M Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 10254 …, 2021 | 21 | 2021 |
| Learning universal adversarial perturbation by adversarial example M Li, Y Yang, K Wei, X Yang, H Huang Proceedings of the AAAI conference on artificial intelligence 36 (2), 1350-1358, 2022 | 20 | 2022 |
| Point-supervised video temporal grounding Z Xu, K Wei, X Yang, C Deng IEEE Transactions on Multimedia 25, 6121-6131, 2022 | 13 | 2022 |
| Unsupervised structure-adaptive graph contrastive learning H Zhao, X Yang, C Deng, D Tao IEEE Transactions on Neural Networks and Learning Systems, 2023 | 12 | 2023 |
Cheng Deng （邓成）School of Electronic Engineering, Xi'an 710071, Xidian University在 mail.xidian.edu.cn 的电子邮件经过验证
