| Learning deep sparse regularizers with applications to multi-view clustering and semi-supervised classification S Wang, Z Chen, S Du, Z Lin IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5042-5055, 2021 | 77 | 2021 |
| Learnable graph convolutional network and feature fusion for multi-view learning Z Chen, L Fu, J Yao, W Guo, C Plant, S Wang Information Fusion 95, 109-119, 2023 | 59 | 2023 |
| Differentiable bi-sparse multi-view co-clustering S Du, Z Liu, Z Chen, W Yang, S Wang IEEE Transactions on Signal Processing 69, 4623-4636, 2021 | 36 | 2021 |
| Interpretable graph convolutional network for multi-view semi-supervised learning Z Wu, X Lin, Z Lin, Z Chen, Y Bai, S Wang IEEE Transactions on Multimedia 25, 8593-8606, 2023 | 34 | 2023 |
| A review on matrix completion for recommender systems Z Chen, S Wang Knowledge and Information Systems 64 (1), 1-34, 2022 | 27 | 2022 |
| Unified low-rank tensor learning and spectral embedding for multi-view subspace clustering L Fu, Z Chen, Y Chen, S Wang IEEE Transactions on Multimedia 25, 4972-4985, 2022 | 23 | 2022 |
| Dual fusion-propagation graph neural network for multi-view clustering S Xiao, S Du, Z Chen, Y Zhang, S Wang IEEE Transactions on Multimedia 25, 9203-9215, 2023 | 22 | 2023 |
| Diversity embedding deep matrix factorization for multi-view clustering Z Chen, P Lin, Z Chen, D Ye, S Wang Information Sciences 610, 114-125, 2022 | 21 | 2022 |
| AGNN: Alternating graph-regularized neural networks to alleviate over-smoothing Z Chen, Z Wu, Z Lin, S Wang, C Plant, W Guo IEEE Transactions on Neural Networks and Learning Systems, 2023 | 18 | 2023 |
| Kernel meets recommender systems: A multi-kernel interpolation for matrix completion Z Chen, W Zhao, S Wang Expert Systems with Applications 168, 114436, 2021 | 16 | 2021 |
| Dual low-rank graph autoencoder for semantic and topological networks Z Chen, Z Wu, S Wang, W Guo Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4191-4198, 2023 | 12 | 2023 |
| Multi-view learning via low-rank tensor optimization L Fu, Z Chen, S Huang, S Huang, S Wang 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 12 | 2021 |
| Contrastive graph convolutional networks with generative adjacency matrix L Zhong, J Yang, Z Chen, S Wang IEEE Transactions on Signal Processing 71, 772-785, 2023 | 11 | 2023 |
| Efficient and differentiable low-rank matrix completion with back propagation Z Chen, J Yao, G Xiao, S Wang IEEE Transactions on Multimedia 25, 228-242, 2021 | 10 | 2021 |
| Deep random walk of unitary invariance for large-scale data representation S Wang, Z Chen, W Zhu, FY Wang Information Sciences 554, 1-14, 2021 | 7 | 2021 |
| Joint learning of feature and topology for multi-view graph convolutional network Y Chen, Z Wu, Z Chen, M Dong, S Wang Neural Networks 168, 161-170, 2023 | 5 | 2023 |
| Graph Convolutional Network with elastic topology Z Wu, Z Chen, S Du, S Huang, S Wang Pattern Recognition 151, 110364, 2024 | 2 | 2024 |
| Generative essential graph convolutional network for multi-view semi-supervised classification J Lu, Z Wu, L Zhong, Z Chen, H Zhao, S Wang IEEE Transactions on Multimedia, 2024 | 2 | 2024 |
| Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck L Zhong, Z Chen, Z Wu, S Du, Z Chen, S Wang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 2 | 2023 |
| Multi-view graph convolutional networks with differentiable node selection Z Chen, L Fu, S Xiao, S Wang, C Plant, W Guo ACM Transactions on Knowledge Discovery from Data 18 (1), 1-21, 2023 | 2 | 2023 |
Shiping WangFuzhou University在 fzu.edu.cn 的电子邮件经过验证
