| Exploring vision transformers for polarimetric SAR image classification H Dong, L Zhang, B Zou IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 55 | 2021 |
| Robust support vector machine with generalized quantile loss for classification and regression L Yang, H Dong Applied Soft Computing 81, 105483, 2019 | 53 | 2019 |
| Support vector machine with truncated pinball loss and its application in pattern recognition L Yang, H Dong Chemometrics and Intelligent Laboratory Systems 177, 89-99, 2018 | 50 | 2018 |
| Automatic design of CNNs via differentiable neural architecture search for PolSAR image classification H Dong, B Zou, L Zhang, S Zhang IEEE Transactions on Geoscience and Remote Sensing 58 (9), 6362-6375, 2020 | 47 | 2020 |
| PolSAR image classification with lightweight 3D convolutional networks H Dong, L Zhang, B Zou Remote Sensing 12 (3), 396, 2020 | 38 | 2020 |
| Unsupervised deep representation learning and few-shot classification of PolSAR images L Zhang, S Zhang, B Zou, H Dong IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2020 | 37 | 2020 |
| Band attention convolutional networks for hyperspectral image classification H Dong, L Zhang, B Zou arXiv preprint arXiv:1906.04379, 2019 | 34 | 2019 |
| Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework L Zhang, H Dong, B Zou ISPRS Journal of Photogrammetry and Remote Sensing 157, 59-72, 2019 | 26 | 2019 |
| Attention-based polarimetric feature selection convolutional network for PolSAR image classification H Dong, L Zhang, D Lu, B Zou IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 25 | 2020 |
| A robust regression framework with laplace kernel-induced loss L Yang, Z Ren, Y Wang, H Dong Neural computation 29 (11), 3014-3039, 2017 | 23 | 2017 |
| Robust semi-supervised support vector machines with Laplace kernel-induced correntropy loss functions H Dong, L Yang, X Wang Applied Intelligence 51, 819-833, 2021 | 13 | 2021 |
| Densely connected convolutional neural network based polarimetric SAR image classification H Dong, L Zhang, B Zou IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 11 | 2019 |
| Kernel-based regression via a novel robust loss function and iteratively reweighted least squares H Dong, L Yang Knowledge and Information Systems 63 (5), 1149-1172, 2021 | 7 | 2021 |
| Training robust support vector regression machines for more general noise H Dong, L Yang Journal of Intelligent & Fuzzy Systems 39 (3), 2881-2892, 2020 | 7 | 2020 |
| Cartoondiff: Training-free cartoon image generation with diffusion transformer models F He, G Li, L Si, L Yan, S Hou, H Dong, F Li ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 3 | 2024 |
| A Polarimetric scattering characteristics-guided adversarial learning approach for unsupervised PolSAR image classification H Dong, L Si, W Qiang, W Miao, C Zheng, Y Wu, L Zhang Remote Sensing 15 (7), 1782, 2023 | 3 | 2023 |
| Polsar Image Classification via Complex-Valued Multi-Scale Convolutional Neural Network L Zhang, S Zhang, H Dong, D Lu IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 2 | 2020 |
| Regularized Hypothesis-Induced Wasserstein Divergence for unsupervised domain adaptation L Si, H Dong, W Qiang, C Zheng, J Yu, F Sun Knowledge-Based Systems 283, 111162, 2024 | 1 | 2024 |
| Trusted Polarimetric Feature Fusion for Polsar Image Classification F Han, L Zhang, H Dong 2023 SAR in Big Data Era (BIGSARDATA), 1-4, 2023 | 1 | 2023 |
| A dimensional structure based knowledge distillation method for cross-modal learning L Si, H Dong, W Qiang, J Yu, W Zhai, C Zheng, F Xu, F Sun arXiv preprint arXiv:2306.15977, 2023 | 1 | 2023 |
Lingyu SiInstitute of Software Chinese Academy of SciencesDirección de correo verificada de iscas.ac.cn
