Recursive Autoencoders-Based Unsupervised Feature Learning for Hyperspectral Image Classification. - Xiangrong Zhang; Yanjie Liang; Chen Li 011; Ning Huyan; Licheng Jiao; Huiyu Zhou 001 (IEEE Geosci. Remote. Sens. Lett., 2017)

Hyper-Laplacian Regularized Low-Rank Tensor Decomposition for Hyperspectral Anomaly Detection. - Xiaoxiao Ma 003; Xiangrong Zhang; Ning Huyan; Xu Tang; Biao Hou; Licheng Jiao (IGARSS, 2018)

Spatial-Spectral Graph-Based Nonlinear Embedding Dimensionality Reduction for Hyperspectral Image Classificaiton. - Xiangrong Zhang; Yaru Han; Ning Huyan; Chen Li 011; Jie Feng 003; Li Gao; Xiaoxiao Ma 003 (IGARSS, 2018)

AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching. - Dou Quan; Xuefeng Liang; Shuang Wang 001; Shaowei Wei; Yanfeng Li; Ning Huyan; Licheng Jiao (ICCV, 2019)

Hyperspectral Anomaly Detection via Background and Potential Anomaly Dictionaries Construction. - Ning Huyan; Xiangrong Zhang; Huiyu Zhou 001; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2019)

Spectral-Difference Low-Rank Representation Learning for Hyperspectral Anomaly Detection. - Xiangrong Zhang; Xiaoxiao Ma 003; Ning Huyan; Jing Gu; Xu Tang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2021)

Multi-Relation Attention Network for Image Patch Matching. - Dou Quan; Shuang Wang 001; Yi Li 054; Bowu Yang; Ning Huyan; Jocelyn Chanussot; Biao Hou; Licheng Jiao (IEEE Trans. Image Process., 2021)

Background Representation Learning With Structural Constraint for Hyperspectral Anomaly Detection. - Xiaoxiao Ma 003; Xiangrong Zhang; Ning Huyan; Jing Gu; Xu Tang; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2022)

Cluster-Memory Augmented Deep Autoencoder via Optimal Transportation for Hyperspectral Anomaly Detection. - Ning Huyan; Xiangrong Zhang; Dou Quan; Jocelyn Chanussot; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Unsupervised Outlier Detection Using Memory and Contrastive Learning. - Ning Huyan; Dou Quan; Xiangrong Zhang; Xuefeng Liang; Jocelyn Chanussot; Licheng Jiao (IEEE Trans. Image Process., 2022)

Element-Wise Feature Relation Learning Network for Cross-Spectral Image Patch Matching. - Dou Quan; Shuang Wang 001; Ning Huyan; Jocelyn Chanussot; Ruojing Wang; Xuefeng Liang; Biao Hou; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2022)

Dual-Branch Residual Disentangled Adversarial Learning Network for Facial Expression Recognition. - Puhua Chen; Zhe Wang; Shasha Mao; Xinyue Hui; Ning Huyan (IEEE Signal Process. Lett., 2024)

A Concurrent Multiscale Detector for End-to-End Image Matching. - Dou Quan; Shuang Wang 001; Ning Huyan; Yi Li 054; Ruiqi Lei; Jocelyn Chanussot; Biao Hou; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2024)

AUD-Net: A Unified Deep Detector for Multiple Hyperspectral Image Anomaly Detection via Relation and Few-Shot Learning. - Ning Huyan; Xiangrong Zhang; Dou Quan; Jocelyn Chanussot; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Burden-Free Distillation From Foundation Model for Efficient Remote Sensing Change Detection. - Shuang Wang 001; Chonghua Lv; Dou Quan; Ning Huyan; Xianwei Cao; Jingxi Sun; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2025)

Lightweight Adapter Learning for More Generalized Remote Sensing Change Detection. - Dou Quan; Rufan Zhou; Shuang Wang 001; Ning Huyan; Dong Zhao; Yunan Li 001; Licheng Jiao (CoRR, 2025)

RegistrationMamba: A Mamba-based Registration Framework Integrating Multi-Expert Feature Learning for Cross-Modal Remote Sensing Images. - Wei Wang; Dou Quan; Chonghua Lv; Shuang Wang 001; Ning Huyan; Yunan Li 001; Licheng Jiao (CoRR, 2025)