| Deep multi-view learning methods: A review X Yan, S Hu, Y Mao, Y Ye, H Yu Neurocomputing 448, 106-129, 2021 | 195 | 2021 |
| DSPNet: Deep scale purifier network for dense crowd counting X Zeng, Y Wu, S Hu, R Wang, Y Ye Expert Systems with Applications 141, 112977, 2020 | 57 | 2020 |
| Multi-task clustering of human actions by sharing information X Yan, S Hu, Y Ye Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 35 | 2017 |
| View-wise versus cluster-wise weight: Which is better for multi-view clustering? S Hu, Z Lou, Y Ye IEEE Transactions on Image Processing 31, 58-71, 2021 | 26 | 2021 |
| DMIB: Dual-Correlated Multivariate Information Bottleneck for Multiview Clustering S Hu, Z Shi, Y Ye IEEE transactions on cybernetics, 2020 | 25 | 2020 |
| Dynamic auto-weighted multi-view co-clustering S Hu, X Yan, Y Ye Pattern Recognition 99, 107101, 2020 | 23 | 2020 |
| Joint specific and correlated information exploration for multi-view action clustering S Hu, X Yan, Y Ye Information Sciences 524, 148-164, 2020 | 21 | 2020 |
| Learning a deep network with cross-hierarchy aggregation for crowd counting Q Guo, X Zeng, S Hu, S Phoummixay, Y Ye Knowledge-Based Systems 213, 106691, 2021 | 19 | 2021 |
| Multi-task information bottleneck co-clustering for unsupervised cross-view human action categorization X Yan, Z Lou, S Hu, Y Ye ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (2), 1-23, 2020 | 16 | 2020 |
| Multi-task image clustering through correlation propagation S Hu, X Yan, Y Ye IEEE Transactions on Knowledge and Data Engineering 33 (3), 1113-1127, 2019 | 15 | 2019 |
| Joint contrastive triple-learning for deep multi-view clustering S Hu, G Zou, C Zhang, Z Lou, R Geng, Y Ye Information Processing & Management 60 (3), 103284, 2023 | 13 | 2023 |
| A K-means clustering method with feature learning for unbalanced vehicle fault diagnosis B Wang, G Wang, Y Wang, Z Lou, S Hu, Y Ye Smart and resilient transportation 3 (2), 162-176, 2021 | 12 | 2021 |
| An information maximization multi-task clustering method for egocentric temporal segmentation M Zhang, X Yan, S Hu, Y Ye Applied Soft Computing 94, 106425, 2020 | 7 | 2020 |
| Multi-view content-context information bottleneck for image clustering S Hu, B Wang, Z Lou, Y Ye Expert Systems with Applications 183, 115374, 2021 | 6 | 2021 |
| Multiview clustering with propagating information bottleneck S Hu, Z Shi, X Yan, Z Lou, Y Ye IEEE Transactions on Neural Networks and Learning Systems, 2023 | 4 | 2023 |
| Interactive information bottleneck for high-dimensional co-occurrence data clustering S Hu, R Wang, Y Ye Applied Soft Computing 111, 107837, 2021 | 4 | 2021 |
| Heterogeneous dual-task clustering with visual-textual information X Yan, Y Mao, S Hu, Y Ye Proceedings of the 2020 SIAM International Conference on Data Mining, 658-666, 2020 | 4 | 2020 |
| Mutual Boost Network for attributed graph clustering X Yan, X Yu, S Hu, Y Ye Expert Systems with Applications 229, 120479, 2023 | 3 | 2023 |
| A parameter-free multi-view information bottleneck clustering method by cross-view weighting S Hu, R Geng, Z Cheng, C Zhang, G Zou, Z Lou, Y Ye Proceedings of the 30th ACM International Conference on Multimedia, 3792-3800, 2022 | 2 | 2022 |
| Content Vs Context: How About" Walking Hand-In-Hand" For Image Clustering? S Hu, Z Hou, Z Lou, Y Ye ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 2 | 2020 |
Zhengzheng LouZhengzhou UniversityVerified email at zzu.edu.cn
