Stripe Noise Separation and Removal in Remote Sensing Images by Consideration of the Global Sparsity and Local Variational Properties. - Xinxin Liu 002; Xiliang Lu; Huanfeng Shen; Qiangqiang Yuan; Yuling Jiao; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2016)

Oblique Stripe Removal in Remote Sensing Images via Oriented Variation. - Xinxin Liu 002; Xiliang Lu; Huanfeng Shen; Qiangqiang Yuan; Liangpei Zhang 001 (CoRR, 2018)

A Universal Destriping Framework Combining 1-D and 2-D Variational Optimization Methods. - Xinxin Liu 002; Huanfeng Shen; Qiangqiang Yuan; Xiliang Lu; Chunping Zhou (IEEE Trans. Geosci. Remote. Sens., 2018)

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

Hyperspectral image denoising with bilinear low rank matrix factorization. - Huixin Fan; Jie Li 022; Qiangqiang Yuan; Xinxin Liu 002; Michael Ng 001 (Signal Process., 2019)

Antinoise Hyperspectral Image Fusion by Mining Tensor Low-Multilinear-Rank and Variational Properties. - Jie Li 022; Xinxin Liu 002; Qiangqiang Yuan; Huanfeng Shen; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network. - Qiang Zhang 011; Qiangqiang Yuan; Jie Li 022; Xinxin Liu 002; Huanfeng Shen; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

A Comparative Study of Noise Sensitivity on Different Hyperspectral Classification Methods. - Congyu Li; Xinxin Liu 002; Xudong Kang; Shutao Li (IGARSS, 2021)

HNU-HMiF: A UAV-Borne Dataset for Hyperspectral and Multispectral Image Fusion. - Congyu Li; Xinxin Liu 002; Xudong Kang; Shutao Li (IGARSS, 2021)

DsTer: A dense spectral transformer for remote sensing spectral super-resolution. - Jiang He; Qiangqiang Yuan; Jie Li 022; Yi Xiao 003; Xinxin Liu 002; Yun Zou (Int. J. Appl. Earth Obs. Geoinformation, 2022)

IRCNN: An Irregular-Time-Distanced Recurrent Convolutional Neural Network for Change Detection in Satellite Time Series. - Bin Yang 008; Le Qin; Jianqiang Liu 001; Xinxin Liu 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

The Influence of Image Degradation on Hyperspectral Image Classification. - Congyu Li; Zhen Li; Xinxin Liu 002; Shutao Li (Remote. Sens., 2022)

One-Step High-Quality NDVI Time-Series Reconstruction by Joint Modeling of Gradual Vegetation Change and Negatively Biased Atmospheric Contamination. - Xinxin Liu 002; Huanfeng Shen; Qiangqiang Yuan; Xiliang Lu; Shutao Li (IEEE Trans. Geosci. Remote. Sens., 2022)

UTRNet: An Unsupervised Time-Distance-Guided Convolutional Recurrent Network for Change Detection in Irregularly Collected Images. - Bin Yang 008; Le Qin; Jianqiang Liu 001; Xinxin Liu 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Fast and Effective Irregular Stripe Removal Method for Moon Mineralogy Mapper (M3). - Shuheng Zhao; Qiangqiang Yuan; Jie Li 022; Yunze Hu; Xinxin Liu 002; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

An Optimization-Driven Network With Knowledge Prior Injection for HSI Denoising. - Yajie Li; Jie Li 022; Jiang He; Xinxin Liu 002; Qiangqiang Yuan (IEEE Trans. Geosci. Remote. Sens., 2023)

Transformer Meets GAN: Cloud-Free Multispectral Image Reconstruction via Multisensor Data Fusion in Satellite Images. - Congyu Li; Xinxin Liu 002; Shutao Li (IEEE Trans. Geosci. Remote. Sens., 2023)

Combining Time-Series Variation Modeling and Fuzzy Spatiotemporal Feature Fusion: A Novel Approach for Unsupervised Flood Mapping Using Dual-Polarized Sentinel-1 SAR Images. - Congyu Li; Jiaqi Liu; Xinxin Liu 002; Xudong Kang; Shutao Li (IEEE Trans. Geosci. Remote. Sens., 2023)

From Trained to Untrained: A Novel Change Detection Framework Using Randomly Initialized Models With Spatial-Channel Augmentation for Hyperspectral Images. - Bin Yang 008; Yin Mao; Licheng Liu; Xinxin Liu 002; Yuzhong Ma; Jing Li 040 (IEEE Trans. Geosci. Remote. Sens., 2023)

A CNN-Transformer Embedded Unfolding Network for Hyperspectral Image Super-Resolution. - Yao Tang; Jie Li 022; Linwei Yue; Xinxin Liu 002; Yajie Li; Yi Xiao 003; Qiangqiang Yuan (IEEE Trans. Geosci. Remote. Sens., 2024)

Reciprocal Transformation-Based Joint Deep and Broad Learning for Change Detection With Heterogeneous Images. - Bin Yang 008; Zhulian Wang; Xinxin Liu 002; Leyuan Fang; Licheng Liu (IEEE Trans. Geosci. Remote. Sens., 2024)

Change Representation and Extraction in Stripes: Rethinking Unsupervised Hyperspectral Image Change Detection With an Untrained Network. - Bin Yang 008; Yin Mao; Licheng Liu; Leyuan Fang; Xinxin Liu 002 (IEEE Trans. Image Process., 2024)

Context Enhancing Representation for Semantic Segmentation in Remote Sensing Images. - Leyuan Fang; Peng Zhou; Xinxin Liu 002; Pedram Ghamisi; Si-Wei Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Bidirectional-Aware Network Combining Transformer and Mamba for Hyperspectral Image Denoising. - Cheng Chen; Jie Li 022; Xinxin Liu 002; Qiangqiang Yuan; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Ordering Domain Destriping: Co-Solving the Additive and Multiplicative Stripe Components in Remote Sensing Images. - Xinxin Liu 002; Jie Li 022; Licheng Liu; Bin Yang 008 (IEEE Trans. Geosci. Remote. Sens., 2025)