| Deep adaptive image clustering J Chang, L Wang, G Meng, S Xiang, C Pan Proceedings of the IEEE international conference on computer vision, 5879-5887, 2017 | 612 | 2017 |
| Semantic labeling in very high resolution images via a self-cascaded convolutional neural network Y Liu, B Fan, L Wang, J Bai, S Xiang, C Pan ISPRS journal of photogrammetry and remote sensing 145, 78-95, 2018 | 260 | 2018 |
| Edge-directed single-image super-resolution via adaptive gradient magnitude self-interpolation L Wang, S Xiang, G Meng, H Wu, C Pan IEEE Transactions on Circuits and Systems for Video Technology 23 (8), 1289-1299, 2013 | 205 | 2013 |
| Robust level set image segmentation via a local correntropy-based K-means clustering L Wang, C Pan Pattern Recognition 47 (5), 1917-1925, 2014 | 180 | 2014 |
| Retargeted least squares regression algorithm XY Zhang, L Wang, S Xiang, CL Liu IEEE transactions on neural networks and learning systems 26 (9), 2206-2213, 2014 | 138 | 2014 |
| Deep hierarchical encoder–decoder network for image captioning X Xiao, L Wang, K Ding, S Xiang, C Pan IEEE Transactions on Multimedia 21 (11), 2942-2956, 2019 | 94 | 2019 |
| Discriminant tensor spectral–spatial feature extraction for hyperspectral image classification Z Zhong, B Fan, J Duan, L Wang, K Ding, S Xiang, C Pan IEEE Geoscience and Remote Sensing Letters 12 (5), 1028-1032, 2014 | 89 | 2014 |
| Level set evolution with locally linear classification for image segmentation Y Wang, L Wang, S Xiang, C Pan Image Processing (ICIP), 2011 18th IEEE International Conference on, 3361-3364, 2011 | 81 | 2011 |
| Deep self-evolution clustering J Chang, G Meng, L Wang, S Xiang, C Pan IEEE transactions on pattern analysis and machine intelligence 42 (4), 809-823, 2018 | 80 | 2018 |
| Deep discriminative clustering analysis J Chang, Y Guo, L Wang, G Meng, S Xiang, C Pan arXiv preprint arXiv:1905.01681, 2019 | 68 | 2019 |
| Ensemble based deep networks for image super-resolution L Wang, Z Huang, Y Gong, C Pan Pattern recognition 68, 191-198, 2017 | 68 | 2017 |
| Fast image upsampling via the displacement field L Wang, H Wu, C Pan IEEE Transactions on Image Processing 23 (12), 5123-5135, 2014 | 68 | 2014 |
| Vision-based occlusion handling and vehicle classification for traffic surveillance systems J Chang, L Wang, G Meng, S Xiang, C Pan IEEE Intelligent Transportation Systems Magazine 10 (2), 80-92, 2018 | 60 | 2018 |
| Region-based image segmentation with local signed difference energy L Wang, H Wu, C Pan Pattern Recognition Letters 34 (6), 637-645, 2013 | 53 | 2013 |
| Structure-aware convolutional neural networks J Chang, J Gu, L Wang, G Meng, S Xiang, C Pan Advances in neural information processing systems 31, 2018 | 52 | 2018 |
| Visual tracking via kernel sparse representation with multikernel fusion L Wang, H Yan, K Lv, C Pan IEEE transactions on circuits and systems for video technology 24 (7), 1132-1141, 2014 | 48 | 2014 |
| Groupwise retargeted least-squares regression L Wang, C Pan IEEE transactions on neural networks and learning systems 29 (4), 1352-1358, 2017 | 47 | 2017 |
| Dense semantic embedding network for image captioning X Xiao, L Wang, K Ding, S Xiang, C Pan Pattern Recognition 90, 285-296, 2019 | 45 | 2019 |
| Few-shot learning via feature hallucination with variational inference Q Luo, L Wang, J Lv, S Xiang, C Pan Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 44 | 2021 |
| Day-ahead scheduling of power system incorporating network topology optimization and dynamic thermal rating Y Li, B Hu, K Xie, L Wang, Y Xiang, R Xiao, D Kong IEEE Access 7, 35287-35301, 2019 | 43 | 2019 |
Shiming XiangNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences在 nlpr.ia.ac.cn 的电子邮件经过验证
Shiming XiangNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences在 nlpr.ia.ac.cn 的电子邮件经过验证