Clustering based spatial spectral preprocessing for hyperspectral unmxing. - Xiangfei Shen; Wenxing Bao; Kewen Qu (ICCIP, 2018)

Hyperspectral Unmixing Using Weighted L1/2 Sparse Total Variation Regularized and Volume Prior Constrained Nonnegative Matrix Factorization. - Kewen Qu; Wenxing Bao; Xiangfei Shen (IGARSS, 2019)

A Spatial Energy And Spectral Purity Based Preprocessing Algorithm For Fast Hyperspectral Endmember Extraction. - Xiangfei Shen; Wenxing Bao (WHISPERS, 2019)

Hyperspectral Endmember Extraction Using Spatially Weighted Simplex Strategy. - Xiangfei Shen; Wenxing Bao (Remote. Sens., 2019)

Spatial-Spectral Hyperspectral Endmember Extraction Using a Spatial Energy Prior Constrained Maximum Simplex Volume Approach. - Xiangfei Shen; Wenxing Bao; Kewen Qu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Adaptive Weighting Feature Fusion Approach Based on Generative Adversarial Network for Hyperspectral Image Classification. - Hongbo Liang; Wenxing Bao; Xiangfei Shen (Remote. Sens., 2021)

Spectral-Spatial Attention Feature Extraction for Hyperspectral Image Classification Based on Generative Adversarial Network. - Hongbo Liang; Wenxing Bao; Xiangfei Shen; Xiaowu Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Subspace-Based Preprocessing Module for Fast Hyperspectral Endmember Selection. - Xiangfei Shen; Wenxing Bao; Kewen Qu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

HSI-Mixer: Hyperspectral Image Classification Using the Spectral-Spatial Mixer Representation From Convolutions. - Hongbo Liang; Wenxing Bao; Xiangfei Shen; Xiaowu Zhang (IEEE Geosci. Remote. Sens. Lett., 2022)

Grouped Collaborative Representation for Hyperspectral Image Classification Using a Two-Phase Strategy. - Xiangfei Shen; Wenxing Bao; Hongbo Liang; Xiaowu Zhang; Xuan Ma (IEEE Geosci. Remote. Sens. Lett., 2022)

Superpixel-Guided Local Sparsity Prior for Hyperspectral Sparse Regression Unmixing. - Xiangfei Shen; Haijun Liu 001; Xinzheng Zhang 002; Kai Qin; Xichuan Zhou (IEEE Geosci. Remote. Sens. Lett., 2022)

Toward Weak Signal Analysis in Hyperspectral Data: An Efficient Unmixing Perspective. - Xiangfei Shen; Haijun Liu 001; Jian Qin; Fangyuan Ge; Xichuan Zhou (IEEE Trans. Geosci. Remote. Sens., 2022)

Efficient Hyperspectral Sparse Regression Unmixing With Multilayers. - Xiangfei Shen; Lihui Chen 002; Haijun Liu 001; Xi Su; Wenjia Wei; Xia Zhu; Xichuan Zhou (IEEE Trans. Geosci. Remote. Sens., 2023)

Matrix Factorization With Framelet and Saliency Priors for Hyperspectral Anomaly Detection. - Xiangfei Shen; Haijun Liu 001; Jing Nie 001; Xichuan Zhou (IEEE Trans. Geosci. Remote. Sens., 2023)

Toward Efficient Hyperspectral Anomaly Detection With Subspace Transformation Learning. - Qian Li; Changbo Wang; Laihang Yu; Jian Zhang; Li Zhang; Kai Liu; Xiangfei Shen (IEEE Geosci. Remote. Sens. Lett., 2024)

MSNet: Self-Supervised Multiscale Network With Enhanced Separation Training for Hyperspectral Anomaly Detection. - Haijun Liu 001; Xi Su; Xiangfei Shen; Xichuan Zhou (IEEE Trans. Geosci. Remote. Sens., 2024)

BTC-Net: Efficient Bit-Level Tensor Data Compression Network for Hyperspectral Image. - Xichuan Zhou; Xuan Zou; Xiangfei Shen; Wenjia Wei; Xia Zhu; Haijun Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution. - Xi Su; Xiangfei Shen; Mingyang Wan; Jing Nie 001; Lihui Chen 002; Haijun Liu 001; Xichuan Zhou (AAAI, 2025)

Iteratively Regularizing Hyperspectral and Multispectral Image Fusion With Framelets. - Xiangfei Shen; Lihui Chen 002; Haijun Liu 001; Xichuan Zhou; Wenxing Bao; Ling Tian; Gemine Vivone; Jocelyn Chanussot (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Toward Model-Independent Separative Training for Deep Hyperspectral Anomaly Detection With Mask Guidance. - Xi Su; Xiangfei Shen; Haijun Liu 001; Lihui Chen 002; Gemine Vivone; Xichuan Zhou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)