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| AFT: Adaptive fusion transformer for visible and infrared images Z Chang, Z Feng, S Yang, Q Gao IEEE Transactions on Image Processing 32, 2077-2092, 2023 | 43 | 2023 |
| Automatic modulation classification via meta-learning X Hao, Z Feng, S Yang, M Wang, L Jiao IEEE Internet of Things Journal 10 (14), 12276-12292, 2023 | 43 | 2023 |
| Transformers meet visual learning understanding: A comprehensive review Y Yang, L Jiao, X Liu, F Liu, S Yang, Z Feng, X Tang arXiv preprint arXiv:2203.12944, 2022 | 41 | 2022 |
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| Learning dual geometric low-rank structure for semisupervised hyperspectral image classification Z Feng, S Yang, M Wang, L Jiao IEEE transactions on cybernetics 51 (1), 346-358, 2019 | 40 | 2019 |
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| Simple and efficient: A semisupervised learning framework for remote sensing image semantic segmentation X Lu, L Jiao, F Liu, S Yang, X Liu, Z Feng, L Li, P Chen IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 33 | 2022 |
| Self-paced learning-based probability subspace projection for hyperspectral image classification S Yang, Z Feng, M Wang, K Zhang IEEE transactions on neural networks and learning systems 30 (2), 630-635, 2018 | 31 | 2018 |
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| Brain-inspired remote sensing interpretation: A comprehensive survey L Jiao, Z Huang, X Liu, Y Yang, M Ma, J Zhao, C You, B Hou, S Yang, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 29 | 2023 |
| Dual-collaborative fusion model for multispectral and panchromatic image fusion Y Xing, S Yang, Z Feng, L Jiao IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2020 | 29 | 2020 |
| A multimodal hyper-fusion transformer for remote sensing image classification M Ma, W Ma, L Jiao, X Liu, L Li, Z Feng, S Yang Information Fusion 96, 66-79, 2023 | 28 | 2023 |
| Complex-valued Depth-wise Separable Convolutional Neural Network for Automatic Modulation Classification C Xiao, S Yang, Z Feng IEEE Transactions on Instrumentation and Measurement, 2023 | 26 | 2023 |
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