| 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 | 83 | 2021 |
| Federated doubly stochastic kernel learning for vertically partitioned data B Gu, Z Dang, X Li, H Huang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 63 | 2020 |
| 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 | 36 | 2020 |
| 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 | 31 | 2021 |
| 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 | 27 | 2021 |
| Doubly contrastive deep clustering Z Dang, C Deng, X Yang, H Huang arXiv preprint arXiv:2103.05484, 2021 | 25 | 2021 |
| Large-scale nonlinear AUC maximization via triply stochastic gradients Z Dang, X Li, B Gu, C Deng, H Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1385-1398, 2020 | 21 | 2020 |
| Desirable companion for vertical federated learning: New zeroth-order gradient based algorithm Q Zhang, B Gu, Z Dang, C Deng, H Huang Proceedings of the 30th ACM International Conference on Information …, 2021 | 9 | 2021 |
| Large-scale kernel method for vertical federated learning Z Dang, B Gu, H Huang Federated Learning: Privacy and Incentive, 66-80, 2020 | 4 | 2020 |
| Scaling Up Generalized Kernel Methods B Gu, Z Dang, Z Huo, C Deng, H Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (7), 3767-3778, 2021 | 1 | 2021 |
| Asynchronous Parallel Large-Scale Gaussian Process Regression Z Dang, B Gu, C Deng, H Huang IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
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