Investigating the Influence of Registration Errors on the Patch-Based Spatio-Temporal Fusion Method. - Liguo Wang 001; Xiaoyi Wang 004; Qunming Wang; Peter M. Atkinson (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Hyperspectral Anomaly Detection via Background Purification and Spatial Difference Enhancement. - Xiaoyi Wang 004; Liguo Wang 001; Jiawen Wang; Kaipeng Sun; Qunming Wang (IEEE Geosci. Remote. Sens. Lett., 2022)

Reweighted Nuclear Norm and Total Variation Regularization With Sparse Dictionary Construction for Hyperspectral Anomaly Detection. - Xiaoyi Wang 004; Liguo Wang 001; Jiawen Wang; Kaipeng Sun; Qunming Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Local Spatial-Spectral Information-Integrated Semisupervised Two-Stream Network for Hyperspectral Anomaly Detection. - Xiaoyi Wang 004; Liguo Wang 001; Qunming Wang (IEEE Trans. Geosci. Remote. Sens., 2022)

SPCNet: A Subpixel Convolution-Based Change Detection Network for Hyperspectral Images With Different Spatial Resolutions. - Lifeng Wang 005; Liguo Wang 001; Heng Wang 009; Xiaoyi Wang 004; Lorenzo Bruzzone (IEEE Trans. Geosci. Remote. Sens., 2022)

RSSGL: Statistical Loss Regularized 3-D ConvLSTM for Hyperspectral Image Classification. - Liguo Wang 001; Heng Wang 009; Lifeng Wang 005; Xiaoyi Wang 004; Yao Shi 003; Ying Cui (IEEE Trans. Geosci. Remote. Sens., 2022)

A Double Dictionary-Based Nonlinear Representation Model for Hyperspectral Subpixel Target Detection. - Xiaoyi Wang 004; Liguo Wang 001; Hao Wu 004; Jiawen Wang; Kaipeng Sun; Anqi Lin; Qunming Wang (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Anomaly Detection Based on Multiscale Central Difference Convolution Network. - Xiaoyi Wang 004; Liguo Wang 001; Anna Vizziello; Paolo Gamba (IEEE Geosci. Remote. Sens. Lett., 2023)

Hyperspectral Target Detection via Global Spatial-Spectral Attention Network and Background Suppression. - Xiaoyi Wang 004; Liguo Wang 001; Qunming Wang; Anna Vizziello; Paolo Gamba (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

RSAAE: Residual Self-Attention-Based Autoencoder for Hyperspectral Anomaly Detection. - Liguo Wang 001; Xiaoyi Wang 004; Anna Vizziello; Paolo Gamba (IEEE Trans. Geosci. Remote. Sens., 2023)

Hyperspectral Image Denoising Based on Deep and Total Variation Priors. - Peng Wang 030; Tianman Sun; Yiming Chen; Lihua Ge; Xiaoyi Wang 004; Liguo Wang 001 (Remote. Sens., 2024)

Hyperspectral Anomaly Detection Using Dual-Branch Network Based on Frequency Domain Learning. - Xiaoyi Wang 004; Jun Du; Qingxuan Lv; Peng Wang 030; Xianchao Zhang 002; Jian Cheng; Henry Leung 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Multilayer Feature Extraction Object Detection Based on Deep Forest. - Peng Wang 030; Xingyun Wang; Enyue Ji; Yanqin Zhang; Jun Du; Xiaoyi Wang 004; Xianchao Zhang 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Hyperspectral Anomaly Detection via Hybrid Convolutional and Transformer-Based U-Net With Error Attention Mechanism. - Xiaoyi Wang 004; Peng Wang 030; Juan Cheng 002; Daiyin Zhu; Henry Leung 001; Paolo Gamba (IEEE Trans. Neural Networks Learn. Syst., 2026)