From reanalysis to satellite observations: gap-filling with imbalanced learning. - Jingze Lu; Kaijun Ren; Xiaoyong Li 002; Yanlai Zhao; Zichen Xu 001; Xiaoli Ren (GeoInformatica, 2022)

A Spatial Downscaling Approach for WindSat Satellite Sea Surface Wind Based on Generative Adversarial Networks and Dual Learning Scheme. - Jia Liu 021; Yongjian Sun; Kaijun Ren; Yanlai Zhao; Kefeng Deng; Lizhe Wang 001 (Remote. Sens., 2022)

Monitoring of Tropical Cyclones at Enhanced Resolution. - Weicheng Ni; Ad Stoffelen; Kaijun Ren; Jur Vogelzang; Yanlai Zhao; Wuxin Wang (IGARSS, 2024)

A Deep-Learning-Based Error-Correction Method for Atmospheric Motion Vectors. - Hang Cao; Hongze Leng; Jun Zhao; Yanlai Zhao; Chengwu Zhao; Baoxu Li (Remote. Sens., 2024)

Mixed Layer Depth Estimation From Multisource Remote Sensing Data Using Clustering-Machine Learning Method. - Zengxin Guan; Kaijun Ren; Senliang Bao; Hengqian Yan; Huizan Wang; Yanlai Zhao; Jianbin Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Enhanced Tropical Cyclone ASCAT Winds Guided by SAR-Learned Spatial Structure Functions. - Weicheng Ni; Ad Stoffelen; Kaijun Ren; Jur Vogelzang; Yanlai Zhao; Xiaofeng Yang 002; Wuxin Wang (IEEE Trans. Geosci. Remote. Sens., 2025)

XiChen: An observation-scalable fully AI-driven global weather forecasting system with 4D variational knowledge. - Wuxin Wang; Weicheng Ni; Lilan Huang; Tao Hao; Ben Fei; Shuo Ma; Taikang Yuan; Yanlai Zhao; Kefeng Deng; Xiaoyong Li 002; Boheng Duan; Lei Bai 001; et al. (CoRR, 2025)