| A brief survey on semantic segmentation with deep learning S Hao, Y Zhou, Y Guo Neurocomputing 406, 302-321, 2020 | 476 | 2020 |
| Low-light image enhancement with semi-decoupled decomposition S Hao, X Han, Y Guo, X Xu, M Wang IEEE transactions on multimedia 22 (12), 3025-3038, 2020 | 276 | 2020 |
| Scalable semi-supervised learning by efficient anchor graph regularization M Wang, W Fu, S Hao, D Tao, X Wu IEEE Transactions on Knowledge and Data Engineering 28 (7), 1864-1877, 2016 | 216 | 2016 |
| Learning on big graph: Label inference and regularization with anchor hierarchy M Wang, W Fu, S Hao, H Liu, X Wu IEEE transactions on knowledge and data engineering 29 (5), 1101-1114, 2017 | 132 | 2017 |
| A survey on large-scale machine learning M Wang, W Fu, X He, S Hao, X Wu IEEE Transactions on Knowledge and Data Engineering 34 (6), 2574-2594, 2020 | 125 | 2020 |
| Positive sample propagation along the audio-visual event line J Zhou, L Zheng, Y Zhong, S Hao, M Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 96 | 2021 |
| Image quality assessment based on matching pursuit R Hong, J Pan, S Hao, M Wang, F Xue, X Wu Information Sciences 273, 196-211, 2014 | 46 | 2014 |
| Scalable active learning by approximated error reduction W Fu, M Wang, S Hao, X Wu Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 44 | 2018 |
| Real-time semantic segmentation via spatial-detail guided context propagation S Hao, Y Zhou, Y Guo, R Hong, J Cheng, M Wang IEEE transactions on neural networks and learning systems, 2022 | 43 | 2022 |
| Dimensionality reduction on anchorgraph with an efficient locality preserving projection R Jiang, W Fu, L Wen, S Hao, R Hong Neurocomputing 187, 109-118, 2016 | 37 | 2016 |
| Exploring self-attention graph pooling with EEG-based topological structure and soft label for depression detection T Chen, Y Guo, S Hao, R Hong IEEE transactions on affective computing 13 (4), 2106-2118, 2022 | 33 | 2022 |
| MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection T Chen, R Hong, Y Guo, S Hao, B Hu IEEE Transactions on Cybernetics 53 (12), 7749-7759, 2022 | 31 | 2022 |
| Image detail enhancement with spatially guided filters S Hao, D Pan, Y Guo, R Hong, M Wang Signal processing 120, 789-796, 2016 | 31 | 2016 |
| Guest Editorial: Multimedia modeling M Wang, D Tao, B Huet Information Sciences—Informatics and Computer Science, Intelligent Systems …, 2014 | 31 | 2014 |
| Semantically-guided low-light image enhancement J Xie, H Bian, Y Wu, Y Zhao, L Shan, S Hao Pattern Recognition Letters 138, 308-314, 2020 | 28 | 2020 |
| Decoupled low-light image enhancement S Hao, X Han, Y Guo, M Wang ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 25 | 2022 |
| Automatic image annotation by semi-supervised manifold kernel density estimation P Ji, N Zhao, S Hao, J Jiang Information Sciences 281, 648-660, 2014 | 23 | 2014 |
| Active learning based intervertebral disk classification combining shape and texture similarities S Hao, J Jiang, Y Guo, H Li Neurocomputing 101, 252-257, 2013 | 23 | 2013 |
| Lightness-aware contrast enhancement for images with different illumination conditions S Hao, Y Guo, Z Wei Multimedia Tools and Applications 78, 3817-3830, 2019 | 21 | 2019 |
| Person re-identification based on nonlinear ranking with difference vectors T Zhou, M Qi, J Jiang, X Wang, S Hao, Y Jin Information Sciences 279, 604-614, 2014 | 21 | 2014 |
