Multi-level features fusion via cross-layer guided attention for hyperspectral pansharpening. - Shaoxiong Hou; Song Xiao 001; Wenqian Dong; Jiahui Qu (Neurocomputing, 2022)

A Multilevel Encoder-Decoder Attention Network for Change Detection in Hyperspectral Images. - Jiahui Qu; Shaoxiong Hou; Wenqian Dong; Yunsong Li 001; Weiying Xie (IEEE Trans. Geosci. Remote. Sens., 2022)

A Dual-Branch Detail Extraction Network for Hyperspectral Pansharpening. - Jiahui Qu; Shaoxiong Hou; Wenqian Dong; Song Xiao 001; Qian Du 001; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Generative Dual-Adversarial Network With Spectral Fidelity and Spatial Enhancement for Hyperspectral Pansharpening. - Wenqian Dong; Shaoxiong Hou; Song Xiao 001; Jiahui Qu; Qian Du 001; Yunsong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Anomaly Detection of Hyperspectral Images Based on Transformer With Spatial-Spectral Dual-Window Mask. - Song Xiao 001; Tian Zhang; Zhangchun Xu; Jiahui Qu; Shaoxiong Hou; Wenqian Dong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Abundance Matrix Correlation Analysis Network Based on Hierarchical Multihead Self-Cross-Hybrid Attention for Hyperspectral Change Detection. - Wenqian Dong; Jingyu Zhao 011; Jiahui Qu; Song Xiao 001; Nan Li; Shaoxiong Hou; Yunsong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

An Interpretable Unsupervised Unrolling Network for Hyperspectral Pansharpening. - Jiahui Qu; Wenqian Dong; Yunsong Li 001; Shaoxiong Hou; Qian Du 001 (IEEE Trans. Cybern., 2023)

Learning Multi-Modal Cross-Scale Deformable Transformer Network for Unregistered Hyperspectral Image Super-resolution. - Wenqian Dong; Yang Xu; Jiahui Qu; Shaoxiong Hou (AAAI, 2024)

Multiscale common-private feature adversarial decoupling network for hyperspectral pansharpening. - Shaoxiong Hou; Song Xiao 001; Jiahui Qu; Wenqian Dong (Knowl. Based Syst., 2025)