Morphological Attribute Profile Cube and Deep Random Forest for Small Sample Classification of Hyperspectral Image. - Bing Liu 018; Wenyue Guo; Xin Chen 088; Kuiliang Gao; Xibing Zuo; Ruirui Wang; Anzhu Yu (IEEE Access, 2020)

Active Deep Densely Connected Convolutional Network for Hyperspectral Image Classification. - Bing Liu 018; Anzhu Yu; Pengqiang Zhang; Lei Ding 008; Wenyue Guo; Kuiliang Gao; Xibing Zuo (CoRR, 2020)

Deep Relation Network for Hyperspectral Image Few-Shot Classification. - Kuiliang Gao; Bing Liu 018; Xuchu Yu; Jinchun Qin; Pengqiang Zhang; Xiong Tan (Remote. Sens., 2020)

Deep Induction Network for Small Samples Classification of Hyperspectral Images. - Kuiliang Gao; Wenyue Guo; Xuchu Yu; Bing Liu 018; Anzhu Yu; Xiangpo Wei (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Deep Multiview Learning for Hyperspectral Image Classification. - Bing Liu 018; Anzhu Yu; Xuchu Yu; Ruirui Wang; Kuiliang Gao; Wenyue Guo (IEEE Trans. Geosci. Remote. Sens., 2021)

Hyperspectral image classification with deep 3D capsule network and Markov random field. - Xiong Tan; Zhixiang Xue; Xuchu Yu; Yifan Sun 008; Kuiliang Gao (IET Image Process., 2022)

ES2FL: Ensemble Self-Supervised Feature Learning for Small Sample Classification of Hyperspectral Images. - Bing Liu 018; Kuiliang Gao; Anzhu Yu; Lei Ding 008; Chunping Qiu; Jia Li (Remote. Sens., 2022)

From Video to Hyperspectral: Hyperspectral Image-Level Feature Extraction with Transfer Learning. - Yifan Sun 008; Bing Liu 018; Xuchu Yu; Anzhu Yu; Kuiliang Gao; Lei Ding 008 (Remote. Sens., 2022)

Perceiving Spectral Variation: Unsupervised Spectrum Motion Feature Learning for Hyperspectral Image Classification. - Yifan Sun 008; Bing Liu 018; Xuchu Yu; Anzhu Yu; Kuiliang Gao; Lei Ding 008 (IEEE Trans. Geosci. Remote. Sens., 2022)

Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification. - Kuiliang Gao; Bing Liu 018; Xuchu Yu; Anzhu Yu (IEEE Trans. Image Process., 2022)

Prototype and Context-Enhanced Learning for Unsupervised Domain Adaptation Semantic Segmentation of Remote Sensing Images. - Kuiliang Gao; Anzhu Yu; Xiong You; Chunping Qiu; Bing Liu 018 (IEEE Trans. Geosci. Remote. Sens., 2023)

Learning General-Purpose Representations for Cross-Domain Hyperspectral Images Classification with Small Samples. - Kuiliang Gao; Anzhu Yu; Xiong You; Chunping Qiu; Bing Liu 018; Wenyue Guo (Remote. Sens., 2023)

Masked Graph Convolutional Network for Small Sample Classification of Hyperspectral Images. - Wenkai Liu; Bing Liu 018; Peipei He; Qingfeng Hu; Kuiliang Gao; Hui Li (Remote. Sens., 2023)

Cross-Domain Multi-Prototypes with Contradictory Structure Learning for Semi-Supervised Domain Adaptation Segmentation of Remote Sensing Images. - Kuiliang Gao; Anzhu Yu; Xiong You; Chunping Qiu; Bing Liu 018; Fubing Zhang (Remote. Sens., 2023)

Attention Prompt-Driven Source-Free Adaptation for Remote Sensing Images Semantic Segmentation. - Kuiliang Gao; Xiong You; Ke Li 005; Lingyu Chen; Juan Lei; Xibing Zuo (IEEE Geosci. Remote. Sens. Lett., 2024)

Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images. - Kuiliang Gao; Anzhu Yu; Xiong You; Wenyue Guo; Ke Li 005; Ningbo Huang (IEEE Trans. Geosci. Remote. Sens., 2024)

Deeper and Broader Multimodal Fusion: Cascaded Forest-of-Experts for Land Cover Classification. - Guangxia Wang; Kuiliang Gao; Xiong You (IEEE Geosci. Remote. Sens. Lett., 2025)

Rethinking Semantic Segmentation With Multi-Grained Logical Prototype. - Anzhu Yu; Kuiliang Gao; Xiong You; Yanfei Zhong; Yu Su; Bing Liu 018; Chunping Qiu (IEEE Trans. Image Process., 2025)

M 2 Caps: learning multi-modal capsules of optical and SAR images for land cover classification. - Haodi Zhang; Anzhu Yu; Kuiliang Gao; Xuanbei Lu; Xuefeng Cao; Wenyue Guo; Weiqi Lian (Int. J. Digit. Earth, 2025)