| Deep multiscale detail networks for multiband spectral image sharpening X Fu, W Wang, Y Huang, X Ding, J Paisley IEEE Transactions on Neural Networks and Learning Systems 32 (5), 2090-2104, 2020 | 113 | 2020 |
| Deep blind hyperspectral image fusion W Wang, W Zeng, Y Huang, X Ding, J Paisley Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 93 | 2019 |
| Uncertainty inspired underwater image enhancement Z Fu, W Wang, Y Huang, X Ding, KK Ma European conference on computer vision, 465-482, 2022 | 66 | 2022 |
| Enhanced deep blind hyperspectral image fusion W Wang, X Fu, W Zeng, L Sun, R Zhan, Y Huang, X Ding IEEE transactions on neural networks and learning systems 34 (3), 1513-1523, 2021 | 35 | 2021 |
| Investigation of optical spectrum properties of hexagonal boron nitride from metal to dielectric transition Z Song, W Wang, G Cai, QH Liu Plasmonics 13, 563-566, 2018 | 5 | 2018 |
| Deep multiscale feedback network for hyperspectral image fusion W Wang, W Zeng, Y Huang, X Ding IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 4 | 2021 |
| Zero-shot semi-supervised learning for pansharpening Q Cao, LJ Deng, W Wang, J Hou, G Vivone Information Fusion 101, 102001, 2024 | 3 | 2024 |
| A General Paradigm with Detail-Preserving Conditional Invertible Network for Image Fusion W Wang, LJ Deng, R Ran, G Vivone International Journal of Computer Vision 132 (4), 1029-1054, 2024 | 1 | 2024 |
| A general image fusion framework using multi-task semi-supervised learning W Wang, LJ Deng, G Vivone Information Fusion, 102414, 2024 | | 2024 |
