| 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 | 69 | 2021 |
| 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 | 33 | 2021 |
| An overview of correlation-filter-based object tracking S Du, S Wang IEEE Transactions on Computational Social Systems 9 (1), 18-31, 2021 | 30 | 2021 |
| Dual fusion-propagation graph neural network for multi-view clustering S Xiao, S Du, Z Chen, Y Zhang, S Wang IEEE Transactions on Multimedia, 2023 | 16 | 2023 |
| DBO-Net: Differentiable bi-level optimization network for multi-view clustering Z Fang, S Du, X Lin, J Yang, S Wang, Y Shi Information Sciences 626, 572-585, 2023 | 13 | 2023 |
| Contrastive consensus graph learning for multi-view clustering S Wang, X Lin, Z Fang, S Du, G Xiao IEEE/CAA Journal of Automatica Sinica 9 (11), 2027-2030, 2022 | 13 | 2022 |
| CCR-Net: Consistent contrastive representation network for multi-view clustering R Lin, Y Lin, Z Lin, S Du, S Wang Information Sciences 637, 118937, 2023 | 2 | 2023 |
| Multi-channel augmented graph embedding convolutional network for multi-view clustering R Lin, S Du, S Wang, W Guo IEEE Transactions on Network Science and Engineering, 2023 | 2 | 2023 |
| Consistent graph embedding network with optimal transport for incomplete multi-view clustering R Lin, S Du, S Wang, W Guo Information Sciences 647, 119418, 2023 | 1 | 2023 |
| 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 | 1 | 2023 |
| Low-rank tensor learning with projection distance metric for multi-view clustering S Huang, L Fu, S Du, Z Wu, AV Vasilakos, S Wang International Journal of Machine Learning and Cybernetics, 1-17, 2024 | | 2024 |
| Representation Learning Meets Optimization-Derived Networks: From Single-View to Multi-View Z Fang, S Du, Z Cai, S Lan, C Wu, Y Tan, S Wang IEEE Transactions on Multimedia, 2024 | | 2024 |
| Graph Convolutional Network with elastic topology Z Wu, Z Chen, S Du, S Huang, S Wang Pattern Recognition, 110364, 2024 | | 2024 |
| Multi-view clustering via optimal transport algorithm R Lin, S Du, S Wang, W Guo Knowledge-Based Systems 279, 110954, 2023 | | 2023 |
| Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness S Du, Z Fang, S Lan, Y Tan, M Günther, S Wang, W Guo Proceedings of the 31st ACM International Conference on Multimedia, 8719-8729, 2023 | | 2023 |
| GAF-Net: Graph attention fusion network for multi-view semi-supervised classification N Song, S Du, Z Wu, L Zhong, LT Yang, J Yang, S Wang Expert Systems with Applications, 122151, 2023 | | 2023 |
| DMRL-Net: Differentiable Multi-view Representation Learning Network Z Fang, S Du, Y Chen, S Wang 2023 IEEE International Conference on Multimedia and Expo (ICME), 1505-1510, 2023 | | 2023 |
| FMixAugment for Semi-supervised Learning with Consistency Regularization H Lin, S Wang, Z Liu, S Xiao, S Du, W Guo Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 127-139, 2021 | | 2021 |
