Spatial-Spectral Fusion by Combining Deep Learning and Variation Model. - Huanfeng Shen; Menghui Jiang; Jie Li 022; Qiangqiang Yuan; Yanchong Wei; Liangpei Zhang 001 (CoRR, 2018)

Differential Information Residual Convolutional Neural Network for Pansharpening. - Menghui Jiang; Jie Li 022; Qiangqiang Yuan; Huanfeng Shen; Xinxin Liu 002; Mingming Xu 001 (IGARSS, 2019)

Spatial-Spectral Fusion by Combining Deep Learning and Variational Model. - Huanfeng Shen; Menghui Jiang; Jie Li 022; Qiangqiang Yuan; Yanchong Wei; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Generating High-Quality and High-Resolution Seamless Satellite Imagery for Large-Scale Urban Regions. - Xinghua Li 002; Zhiwei Li 002; Ruitao Feng; Shuang Luo; Chi Zhang; Menghui Jiang; Huanfeng Shen (Remote. Sens., 2020)

A Deep Learning-Based Heterogeneous Spatio-Temporal-Spectral Fusion: SAR and Optical Images. - Menghui Jiang; Jie Li 022; Huanfeng Shen (IGARSS, 2021)

Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion. - Huanfeng Shen; Menghui Jiang; Jie Li 022; Chenxia Zhou; Qiangqiang Yuan; Liangpei Zhang 001 (CoRR, 2021)

An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images. - Menghui Jiang; Huanfeng Shen; Jie Li 022; Liangpei Zhang 001 (CoRR, 2021)

Hyperspectral and Multispectral Image Fusion by Deep Neural Network in a Self-Supervised Manner. - Jianhao Gao; Jie Li 022; Menghui Jiang (Remote. Sens., 2021)

Physics-Based GAN With Iterative Refinement Unit for Hyperspectral and Multispectral Image Fusion. - Jiajun Xiao; Jie Li 022; Qiangqiang Yuan; Menghui Jiang; Liangpei Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Deep Image Interpolation: A Unified Unsupervised Framework for Pansharpening. - Jianhao Gao; Jie Li 022; Xin Su 003; Menghui Jiang; Qiangqiang Yuan (CVPR Workshops, 2022)

Cycle GAN Based Heterogeneous Spatial-Spectral Fusion for Soil Moisture Downscaling. - Menghui Jiang; Huanfeng Shen; Jie Li 022 (IGARSS, 2022)

Self-Supervised Pansharpening Based on a Cycle-Consistent Generative Adversarial Network. - Jie Li 022; Weixuan Sun; Menghui Jiang; Qiangqiang Yuan (IEEE Geosci. Remote. Sens. Lett., 2022)

Deep-Learning-Based Spatio-Temporal-Spectral Integrated Fusion of Heterogeneous Remote Sensing Images. - Menghui Jiang; Huanfeng Shen; Jie Li 022 (IEEE Trans. Geosci. Remote. Sens., 2022)

A physics-constrained machine learning method for mapping gapless land surface temperature. - Jun Ma; Huanfeng Shen; Menghui Jiang; Liupeng Lin; Chunlei Meng; Chao Zeng 001; Huifang Li 001; Penghai Wu (CoRR, 2023)

An Integrated Learning Framework for Seamless High-Resolution Soil Moisture Estimation. - Yinghong Jing; Yao Li 027; Xinghua Li 002; Liupeng Lin; Xiaojun She; Menghui Jiang; Huanfeng Shen (IEEE Trans. Geosci. Remote. Sens., 2024)

Unsupervised Pan-Sharpening Network Incorporating Imaging Spectral Prior and Spatial-Spectral Compensation. - Huanfeng Shen; Boxuan Zhang; Menghui Jiang; Jie Li 022 (IEEE Trans. Geosci. Remote. Sens., 2024)

Seamless global daily soil moisture mapping using deep learning based spatiotemporal fusion. - Menghui Jiang; Tian Qiu; Ting Wang; Chao Zeng 001; Boxuan Zhang; Huanfeng Shen (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Efficient and Effective NDVI Time-Series Reconstruction by Combining Deep Learning and Tensor Completion. - Ang Li 027; Menghui Jiang; Dong Chu; Xiaobin Guan; Jie Li 022; Huanfeng Shen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature. - Tian Xie; Menghui Jiang; Huanfeng Shen; Huifang Li 001; Chao Zeng 001; Jun Ma; Guanhao Zhang; Liangpei Zhang 001 (CoRR, 2025)

High-Resolution Global Land Surface Temperature Retrieval via a Coupled Mechanism-Machine Learning Framework. - Tian Xie; Huanfeng Shen; Menghui Jiang; Juan Carlos Jiménez-Muñoz; José A. Sobrino; Huifang Li 001; Chao Zeng 001 (CoRR, 2025)