| Deep multi-view learning methods: A review X Yan, S Hu, Y Mao, Y Ye, H Yu Neurocomputing 448, 106-129, 2021 | 279 | 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 | 64 | 2020 |
| 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 | 37 | 2021 |
| 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 |
| 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 | 34 | 2023 |
| DMIB: Dual-Correlated Multivariate Information Bottleneck for Multiview Clustering S Hu, Z Shi, Y Ye IEEE transactions on cybernetics, 2020 | 29 | 2020 |
| Dynamic auto-weighted multi-view co-clustering S Hu, X Yan, Y Ye Pattern Recognition 99, 107101, 2020 | 29 | 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 | 24 | 2021 |
| Joint specific and correlated information exploration for multi-view action clustering S Hu, X Yan, Y Ye Information Sciences 524, 148-164, 2020 | 22 | 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 | 20 | 2019 |
| A survey on information bottleneck S Hu, Z Lou, X Yan, Y Ye IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 18 | 2024 |
| 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 | 18 | 2020 |
| Deep purified feature mining model for joint named entity recognition and relation extraction Y Wang, Y Wang, Z Sun, Y Li, S Hu, Y Ye Information Processing & Management 60 (6), 103511, 2023 | 16 | 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 | 14 | 2021 |
| Mutual boost network for attributed graph clustering X Yan, X Yu, S Hu, Y Ye Expert Systems with Applications 229, 120479, 2023 | 13 | 2023 |
| Deep multiview clustering by pseudo-label guided contrastive learning and dual correlation learning S Hu, C Zhang, G Zou, Z Lou, Y Ye IEEE Transactions on Neural Networks and Learning Systems, 2024 | 11 | 2024 |
| Multi-view clustering via triplex information maximization C Zhang, Z Lou, Q Zhou, S Hu IEEE Transactions on Image Processing 32, 4299-4313, 2023 | 7 | 2023 |
| Multi-view content-context information bottleneck for image clustering S Hu, B Wang, Z Lou, Y Ye Expert Systems with Applications 183, 115374, 2021 | 7 | 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 |
| 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 | 6 | 2023 |
Zhengzheng LouZhengzhou UniversityOverená e-mailová adresa na: zzu.edu.cn
