| Comparing the performance of neural network and deep convolutional neural network in estimating soil moisture from satellite observations L Ge, R Hang, Y Liu, Q Liu Remote Sensing 10 (9), 1327, 2018 | 32 | 2018 |
| CLDASSD: reconstructing fine textures of the temperature field using super-resolution technology R Tie, C Shi, G Wan, X Hu, L Kang, L Ge Advances in Atmospheric Sciences 39 (1), 117-130, 2022 | 15 | 2022 |
| Statistical downscaling of temperature distributions in southwest China by using terrain-guided attention network G Liu, R Zhang, R Hang, L Ge, C Shi, Q Liu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 8 | 2023 |
| Retrieving soil moisture over continental us via multi-view multi-task learning L Ge, R Hang, Q Liu IEEE Geoscience and Remote Sensing Letters 16 (12), 1954-1958, 2019 | 3 | 2019 |
| To accurately and lightly downscale the temperature field by deep learning R Tie, C Shi, G Wan, L Kang, L Ge Journal of Atmospheric and Oceanic Technology 39 (4), 479-490, 2022 | 2 | 2022 |
| Spatial Downscaling of Near-Surface Air Temperature Based on Deep Learning Cross-Attention Mechanism Z Shen, C Shi, R Shen, R Tie, L Ge Remote Sensing 15 (21), 5084, 2023 | 1 | 2023 |
| Convective Cloud Detection From Himawari-8 Advanced Himawari Imager Data Using a Dual-Branch Deformable Convolutional Network R Hang, J Wang, L Ge, C Shi, J Wei IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | | 2024 |
| A Deep Learning Method for Statistical Downscaling of CLDAS Relative Humidity with Different Sources of Data: Sensitivity Analysis B Bai, C Shi, L Yang, L Ge, L Yue, G Liu Journal of Meteorological Research 37 (6), 878-895, 2023 | | 2023 |
| Improve the Downscaling Accuracy of High-Resolution Precipitation Field Using Classification Mask R Tie, C Shi, X Gu, L Ge, Z Shen, J Liu, T Zhou, X Chen Available at SSRN 4797394, 0 | | |
