Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification. - Yao Qin 002; Biao Li; Yuanxin Ye (CoRR, 2018)

Tensor Alignment based Domain Adaptation for Hyperspectral Image Classification. - Yao Qin 002; Lorenzo Bruzzone; Biao Li; Yuanxin Ye (CoRR, 2018)

Infrared Small Target Detection Based on Facet Kernel and Random Walker. - Yao Qin 002; Lorenzo Bruzzone; Chengqiang Gao; Biao Li (IEEE Trans. Geosci. Remote. Sens., 2019)

Tensor Alignment Based Domain Adaptation for Hyperspectral Image Classification. - Yao Qin 002; Lorenzo Bruzzone; Biao Li (IEEE Trans. Geosci. Remote. Sens., 2019)

Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification. - Yao Qin 002; Lorenzo Bruzzone; Biao Li; Yuanxin Ye (IEEE Trans. Geosci. Remote. Sens., 2019)

Learning Discriminative Embedding for Hyperspectral Image Clustering Based on Set-to-Set and Sample-to-Sample Distances. - Yao Qin 002; Lorenzo Bruzzone; Biao Li (IEEE Trans. Geosci. Remote. Sens., 2020)

A multiscale graph convolutional network for change detection in homogeneous and heterogeneous remote sensing images. - Junzheng Wu; Biao Li; Yao Qin 002; Weiping Ni; Han Zhang 005; Ruigang Fu; Yuli Sun (Int. J. Appl. Earth Obs. Geoinformation, 2021)

A Multiscale Graph Convolutional Network for Change Detection in Homogeneous and Heterogeneous Remote Sensing Images. - Junzheng Wu; Biao Li; Yao Qin 002; Weiping Ni; Han Zhang 005; Yuli Sun (CoRR, 2021)

Self-Supervised Deep Subspace Clustering for Hyperspectral Images With Adaptive Self-Expressive Coefficient Matrix Initialization. - Kun Li; Yao Qin 002; Qiang Ling 002; Yingqian Wang 002; Zaiping Lin; Wei An (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Affinity Matrix Learning Via Nonnegative Matrix Factorization for Hyperspectral Imagery Clustering. - Yao Qin 002; Biao Li; Weiping Ni; Sinong Quan; Peizhong Wang; Hui Bian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Remote Sensing Object Detection Based on Receptive Field Expansion Block. - Xiaohu Dong; Ruigang Fu; Yinghui Gao; Yao Qin 002; Yuanxin Ye; Biao Li (IEEE Geosci. Remote. Sens. Lett., 2022)

Remote Sensing Object Detection Based on Gated Context-Aware Module. - Xiaohu Dong; Yao Qin 002; Ruigang Fu; Yinghui Gao; Songlin Liu; Yuanxin Ye (IEEE Geosci. Remote. Sens. Lett., 2022)

Multiscale Deformable Attention and Multilevel Features Aggregation for Remote Sensing Object Detection. - Xiaohu Dong; Yao Qin 002; Ruigang Fu; Yinghui Gao; Songlin Liu; Yuanxin Ye; Biao Li (IEEE Geosci. Remote. Sens. Lett., 2022)

Optical-to-SAR Image Matching Using Multiscale Masked Structure Features. - Yuanxin Ye; Chao Yang 028; Jiacheng Zhang; Jianwei Fan; Ruitao Feng; Yao Qin 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

Robust Matching for SAR and Optical Images Using Multiscale Convolutional Gradient Features. - Liang Zhou; Yuanxin Ye; Tengfeng Tang; Ke Nan; Yao Qin 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

Attention-Based Multi-Level Feature Fusion for Object Detection in Remote Sensing Images. - Xiaohu Dong; Yao Qin 002; Yinghui Gao; Ruigang Fu; Songlin Liu; Yuanxin Ye (Remote. Sens., 2022)

Spectral-Spatial Deep Support Vector Data Description for Hyperspectral Anomaly Detection. - Kun Li; Qiang Ling 002; Yao Qin 002; Yingqian Wang 002; Yaoming Cai; Zaiping Lin; Wei An (IEEE Trans. Geosci. Remote. Sens., 2022)

Polarimetric Decomposition-Based Unified Manmade Target Scattering Characterization With Mathematical Programming Strategies. - Sinong Quan; Yao Qin 002; Deliang Xiang; Wei Wang 099; Xuesong Wang 003 (IEEE Trans. Geosci. Remote. Sens., 2022)

Adjacent-level Feature Cross-Fusion with 3D CNN for Remote Sensing Image Change Detection. - Yuanxin Ye; Mengmeng Wang 007; Liang Zhou; Guangyang Lei; Jianwei Fan; Yao Qin 002 (CoRR, 2023)

Adjacent-Level Feature Cross-Fusion With 3-D CNN for Remote Sensing Image Change Detection. - Yuanxin Ye; Mengmeng Wang 007; Liang Zhou; Guangyang Lei; Jianwei Fan; Yao Qin 002 (IEEE Trans. Geosci. Remote. Sens., 2023)

R₂FD₂: Fast and Robust Matching of Multimodal Remote Sensing Images via Repeatable Feature Detector and Rotation-Invariant Feature Descriptor. - Bai Zhu; Chao Yang 028; Jinkun Dai; Jianwei Fan; Yao Qin 002; Yuanxin Ye (IEEE Trans. Geosci. Remote. Sens., 2023)

Spectral Difference Guided Graph Attention Autoencoder for Hyperspectral Anomaly Detection. - Kun Li; Qiang Ling 002; Yingqian Wang 002; Yaoming Cai; Yao Qin 002; Zaiping Lin; Wei An (IEEE Trans. Instrum. Meas., 2023)

RiDOP: A Rotation-Invariant Detector with Simple Oriented Proposals in Remote Sensing Images. - Chongyang Wei; Weiping Ni; Yao Qin 002; Junzheng Wu; Han Zhang 005; Qiang Liu; Kenan Cheng; Hui Bian (Remote. Sens., 2023)

Nearest Neighboring Self-Supervised Learning for Hyperspectral Image Classification. - Yao Qin 002; Yuanxin Ye; Yue Zhao; Junzheng Wu; Han Zhang 005; Kenan Cheng; Kun Li (Remote. Sens., 2023)

Explicit Background Endmember Learning for Hyperspectral Anomaly Detection. - Kun Li; Wei An; Yingqian Wang 002; Tingting Zhang; Yao Qin 002; Tinghong Gao (IEEE Trans. Instrum. Meas., 2024)

A cascaded autoencoder unmixing network for Hyperspectral anomaly detection. - Kun Li; Yingqian Wang 002; Qiang Ling 002; Yaoming Cai; Yao Qin 002 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Evolving superpixel-level affinity based on contrastive learning and good neighbors for hyperspectral image clustering. - Yao Qin 002; Guisong Xia; Kun Li; Yuanxin Ye; Weiping Ni (Int. J. Appl. Earth Obs. Geoinformation, 2025)