Attention-Based Convolutional Networks for Ship Detection in High-Resolution Remote Sensing Images. - Xiaofeng Ma; Wenyuan Li 002; Zhenwei Shi (PRCV (4), 2018)

Generative Adversarial Training for Weakly Supervised Cloud Matting. - Zhengxia Zou; Wenyuan Li 002; Tianyang Shi; Zhenwei Shi; Jieping Ye (ICCV, 2019)

Do Game Data Generalize Well for Remote Sensing Image Segmentation? - Zhengxia Zou; Tianyang Shi; Wenyuan Li 002; Zhou Zhang 001; Zhenwei Shi (Remote. Sens., 2020)

Deep Matting for Cloud Detection in Remote Sensing Images. - Wenyuan Li 002; Zhengxia Zou; Zhenwei Shi (IEEE Trans. Geosci. Remote. Sens., 2020)

Semantic Segmentation of Remote Sensing Images With Self-Supervised Multitask Representation Learning. - Wenyuan Li 002; Hao Chen 045; Zhenwei Shi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Contrastive Learning for Fine-Grained Ship Classification in Remote Sensing Images. - Jianqi Chen; Keyan Chen 001; Hao Chen 045; Wenyuan Li 002; Zhengxia Zou; Zhenwei Shi (IEEE Trans. Geosci. Remote. Sens., 2022)

Semantic-Aware Dense Representation Learning for Remote Sensing Image Change Detection. - Hao Chen 045; Wenyuan Li 002; Song Chen; Zhenwei Shi (IEEE Trans. Geosci. Remote. Sens., 2022)

Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images. - Hao Chen 045; Wenyuan Li 002; Zhenwei Shi (IEEE Trans. Geosci. Remote. Sens., 2022)

Geographical Knowledge-Driven Representation Learning for Remote Sensing Images. - Wenyuan Li 002; Keyan Chen 001; Hao Chen 045; Zhenwei Shi (IEEE Trans. Geosci. Remote. Sens., 2022)

Geographical Supervision Correction for Remote Sensing Representation Learning. - Wenyuan Li 002; Keyan Chen 001; Zhenwei Shi (IEEE Trans. Geosci. Remote. Sens., 2022)

Physics-Informed Hyperspectral Remote Sensing Image Synthesis With Deep Conditional Generative Adversarial Networks. - Liqin Liu; Wenyuan Li 002; Zhenwei Shi; Zhengxia Zou (IEEE Trans. Geosci. Remote. Sens., 2022)

Large-Factor Super-Resolution of Remote Sensing Images With Spectra-Guided Generative Adversarial Networks. - Yapeng Meng; Wenyuan Li 002; Sen Lei; Zhengxia Zou; Zhenwei Shi (IEEE Trans. Geosci. Remote. Sens., 2022)

Resolution-Agnostic Remote Sensing Scene Classification With Implicit Neural Representations. - Keyan Chen 001; Wenyuan Li 002; Jianqi Chen; Zhengxia Zou; Zhenwei Shi (IEEE Geosci. Remote. Sens. Lett., 2023)

Continuous Remote Sensing Image Super-Resolution Based on Context Interaction in Implicit Function Space. - Keyan Chen 001; Wenyuan Li 002; Sen Lei; Jianqi Chen; Xiaolong Jiang; Zhengxia Zou; Zhenwei Shi (IEEE Trans. Geosci. Remote. Sens., 2023)

Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection. - Keyan Chen 001; Chengyang Liu; Wenyuan Li 002; Zili Liu; Hao Chen 045; Haotian Zhang; Zhengxia Zou; Zhenwei Shi (IGARSS, 2024)

Learning to Detect Cloud and Snow in Remote Sensing Images from Noisy Labels. - Zili Liu; Hao Chen 045; Wenyuan Li 002; Keyan Chen 001; Zipeng Qi; Chenyang Liu; Zhengxia Zou; Zhenwei Shi (IGARSS, 2024)

DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling. - Wenyuan Li 002; Zili Liu; Keyan Chen 001; Hao Chen 045; Shunlin Liang; Zhengxia Zou; Zhenwei Shi (CoRR, 2024)

Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method. - Zili Liu; Hao Chen 045; Lei Bai 001; Wenyuan Li 002; Keyan Chen 001; Zhengyi Wang; Wanli Ouyang; Zhengxia Zou; Zhenwei Shi (CoRR, 2024)

RSMamba: Remote Sensing Image Classification With State Space Model. - Keyan Chen 001; Bowen Chen 002; Chenyang Liu; Wenyuan Li 002; Zhengxia Zou; Zhenwei Shi (IEEE Geosci. Remote. Sens. Lett., 2024)

Weakly Supervised Adversarial Training for Remote Sensing Image Cloud and Snow Detection. - Jiajun Yang; Wenyuan Li 002; Keyan Chen 001; Zili Liu; Zhenwei Shi; Zhengxia Zou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation Based on Visual Foundation Model. - Keyan Chen 001; Chenyang Liu; Hao Chen 045; Haotian Zhang; Wenyuan Li 002; Zhengxia Zou; Zhenwei Shi (IEEE Trans. Geosci. Remote. Sens., 2024)

Deriving Accurate Surface Meteorological States at Arbitrary Locations via Observation-Guided Continuous Neural Field Modeling. - Zili Liu; Hao Chen 045; Lei Bai 001; Wenyuan Li 002; Keyan Chen 001; Zhengyi Wang; Wanli Ouyang; Zhengxia Zou; Zhenwei Shi (IEEE Trans. Geosci. Remote. Sens., 2024)

MambaDS: Near-Surface Meteorological Field Downscaling With Topography Constrained Selective State-Space Modeling. - Zili Liu; Hao Chen 045; Lei Bai 001; Wenyuan Li 002; Wanli Ouyang; Zhengxia Zou; Zhenwei Shi (IEEE Trans. Geosci. Remote. Sens., 2024)

Topographic Informed Kolmogorov-Arnold Neural Interpolator for Downscaling and Correcting Meteorological Fields From In Situ Observations. - Zili Liu; Hao Chen 045; Lei Bai 001; Wenyuan Li 002; Zhengxia Zou; Zhenwei Shi (IEEE Trans. Geosci. Remote. Sens., 2025)

Kolmogorov Arnold Neural Interpolator for Downscaling and Correcting Meteorological Fields from In-Situ Observations. - Zili Liu; Hao Chen 045; Lei Bai 001; Wenyuan Li 002; Zhengxia Zou; Zhenwei Shi (CoRR, 2025)

DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding. - Keyan Chen 001; Chenyang Liu; Bowen Chen 002; Wenyuan Li 002; Zhengxia Zou; Zhenwei Shi (CoRR, 2025)

Fine-grained Hierarchical Crop Type Classification from Integrated Hyperspectral EnMAP Data and Multispectral Sentinel-2 Time Series: A Large-scale Dataset and Dual-stream Transformer Method. - Wenyuan Li 002; Shunlin Liang; Yuxiang Zhang; Liqin Liu; Keyan Chen 001; Yongzhe Chen; Han Ma; Jianglei Xu; Yichuan Ma; Shikang Guan; Zhenwei Shi (CoRR, 2025)