| MARTA GANs: Unsupervised representation learning for remote sensing image classification D Lin, K Fu, Y Wang, G Xu, X Sun IEEE Geoscience and Remote Sensing Letters 14 (11), 2092-2096, 2017 | 247 | 2017 |
| A remote sensing image dataset for cloud removal D Lin, G Xu, X Wang, Y Wang, X Sun, K Fu arXiv preprint arXiv:1901.00600, 2019 | 139 | 2019 |
| Deep discriminative representation learning with attention map for scene classification J Li, D Lin, Y Wang, G Xu, Y Zhang, C Ding, Y Zhou Remote Sensing 12 (9), 1366, 2020 | 103 | 2020 |
| High quality remote sensing image super-resolution using deep memory connected network W Xu, XU Guangluan, Y Wang, X Sun, D Lin, WU Yirong IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 62 | 2018 |
| A question answering-based framework for one-step event argument extraction Y Zhang, G Xu, Y Wang, D Lin, F Li, C Wu, J Zhang, T Huang Ieee access 8, 65420-65431, 2020 | 31 | 2020 |
| Transform a simple sketch to a chinese painting by a multiscale deep neural network D Lin, Y Wang, G Xu, J Li, K Fu Algorithms 11 (1), 4, 2018 | 31 | 2018 |
| Deep memory connected neural network for optical remote sensing image restoration W Xu, G Xu, Y Wang, X Sun, D Lin, Y Wu Remote Sensing 10 (12), 1893, 2018 | 30 | 2018 |
| SCRSR: An efficient recursive convolutional neural network for fast and accurate image super-resolution D Lin, G Xu, W Xu, Y Wang, X Sun, K Fu Neurocomputing 398, 399-407, 2020 | 21 | 2020 |
| Thin and thick cloud removal on remote sensing image by conditional generative adversarial network X Wang, G Xu, Y Wang, D Lin, P Li, X Lin IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 21 | 2019 |
| Generative adversarial networks for zero-shot remote sensing scene classification Z Li, D Zhang, Y Wang, D Lin, J Zhang Applied Sciences 12 (8), 3760, 2022 | 18 | 2022 |
| Where is the model looking at?–Concentrate and explain the network attention W Xu, J Wang, Y Wang, G Xu, D Lin, W Dai, Y Wu IEEE Journal of Selected Topics in Signal Processing 14 (3), 506-516, 2020 | 18 | 2020 |
| Synthesizing remote sensing images by conditional adversarial networks DY Lin, Y Wang, GL Xu, K Fu 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 48-50, 2017 | 12 | 2017 |
| Dense-Add Net: An novel convolutional neural network for remote sensing image inpainting D Lin, G Xu, Y Wang, X Sun, K Fu IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 11 | 2018 |
| Towards a reliable evaluation of local interpretation methods J Li, D Lin, Y Wang, G Xu, C Ding Applied Sciences 11 (6), 2732, 2021 | 10 | 2021 |
| Edge-nodes representation neural machine for link prediction G Xu, X Wang, Y Wang, D Lin, X Sun, K Fu Algorithms 12 (1), 12, 2019 | 9 | 2019 |
| TS-Extractor: large graph exploration via subgraph extraction based on topological and semantic information K Fu, T Mao, Y Wang, D Lin, Y Zhang, J Zhan, X Sun, F Li Journal of visualization 24, 173-190, 2021 | 8 | 2021 |
| Dyegovis: Visual exploration of dynamic ego-network evolution K Fu, T Mao, Y Wang, D Lin, Y Zhang, X Sun Applied Sciences 11 (5), 2399, 2021 | 7 | 2021 |
| Harnessing LLMs for multi-dimensional writing assessment: Reliability and alignment with human judgments X Tang, H Chen, D Lin, K Li Heliyon 10 (14), 2024 | 4 | 2024 |
| Ies-backbone: an interactive edge selection based backbone method for small world network visualization C Zhan, D Zhang, Y Wang, D Lin, H Wang IEEE Access 7, 166415-166427, 2019 | 4 | 2019 |
| A graph layout framework combining t-distributed neighbor retrieval visualizer and energy models G Xu, Z Song, Y Wang, D Lin, J Chen, T Mao, W Xu IEEE Access 7, 27515-27525, 2019 | 4 | 2019 |
