| 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 | 118 | 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 | 92 | 2014 |
| Cross-modal hashing via rank-order preserving K Ding, B Fan, C Huo, S Xiang, C Pan IEEE Transactions on Multimedia 19 (3), 571-585, 2016 | 72 | 2016 |
| Dense semantic embedding network for image captioning X Xiao, L Wang, K Ding, S Xiang, C Pan Pattern Recognition 90, 285-296, 2019 | 50 | 2019 |
| AMVH: Asymmetric multi-valued hashing C. Da, S. Xu, K. Ding, G. Meng, S. Xiang, and C. Pan Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 736–744, 2017 | 48 | 2017 |
| Sparse hierarchical clustering for VHR image change detection K Ding, C Huo, Y Xu, Z Zhong, C Pan IEEE Geoscience and Remote Sensing Letters 12 (3), 577-581, 2014 | 43 | 2014 |
| Efficient multiple feature fusion with hashing for hyperspectral imagery classification: A comparative study Z Zhong, B Fan, K Ding, H Li, S Xiang, C Pan IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4461-4478, 2016 | 35 | 2016 |
| In defense of locality-sensitive hashing K Ding, C Huo, B Fan, S Xiang, C Pan IEEE transactions on neural networks and learning systems 29 (1), 87-103, 2016 | 33 | 2016 |
| Learning relationship for very high resolution image change detection C Huo, K Chen, K Ding, Z Zhou, C Pan IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 28 | 2016 |
| Multicluster spatial–spectral unsupervised feature selection for hyperspectral image classification H Li, S Xiang, Z Zhong, K Ding, C Pan IEEE Geoscience and Remote Sensing Letters 12 (8), 1660-1664, 2015 | 16 | 2015 |
| Prompt tuning with soft context sharing for vision-language models K Ding, Y Wang, P Liu, Q Yu, H Zhang, S Xiang, C Pan arXiv preprint arXiv:2208.13474, 2022 | 14 | 2022 |
| kNN hashing with factorized neighborhood representation K Ding, C Huo, B Fan, C Pan Proceedings of the IEEE International Conference on Computer Vision, 1098-1106, 2015 | 13 | 2015 |
| Nonlinear Asymmetric Multi-Valued Hashing CP C. Da, G. Meng, S. Xiang, K. Ding, S. Xu, Q. Yang IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-1, 2018 | 11* | 2018 |
| Bundlenet: Learning with noisy label via sample correlations C Li, C Zhang, K Ding, G Li, J Cheng, H Lu IEEE Access 6, 2367-2377, 2017 | 5 | 2017 |
| Deep convolutional neural network based on self-distillation for tool wear recognition Y Pan, L Hao, J He, K Ding, Q Yu, Y Wang Engineering Applications of Artificial Intelligence 132, 107851, 2024 | 4 | 2024 |
| Weak distribution detectors lead to stronger generalizability of vision-language prompt tuning K Ding, H Zhang, Q Yu, Y Wang, S Xiang, C Pan Proceedings of the AAAI Conference on Artificial Intelligence 38 (2), 1528-1536, 2024 | 4 | 2024 |
| Zero-shot generalizable incremental learning for vision-language object detection J Deng, H Zhang, K Ding, J Hu, X Zhang, Y Wang arXiv preprint arXiv:2403.01680, 2024 | 4 | 2024 |
| Train in dense and test in sparse: A method for sparse object detection in aerial images K Ding, G He, H Gu, Z Zhong, S Xiang, C Pan IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 4 | 2020 |
| Pad: self-supervised pre-training with patchwise-scale adapter for infrared images T Zhang, K Ding, J Wen, Y Xiong, Z Zhang, S Xiang, C Pan arXiv preprint arXiv:2312.08192, 2023 | 3 | 2023 |
| Multi-task prompt tuning with soft context sharing for vision–language models K Ding, Y Wang, P Liu, Q Yu, H Zhang, S Xiang, C Pan Neurocomputing 603, 128290, 2024 | 2 | 2024 |
Shiming XiangNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of SciencesAdresă de e-mail confirmată pe nlpr.ia.ac.cn