Coupled hyperspectral super-resolution and unmixing. - Yongqiang Zhao 001; Chen Yi; Jingxiang Yang; Jonathan Cheung-Wai Chan (IGARSS, 2014)

Joint denoising and unmixing for hyperspectral image. - Yongqiang Zhao 001; Jingxiang Yang; Chen Yi; Yong Liu (WHISPERS, 2014)

Hyperspectral Imagery Super-Resolution by Spatial-Spectral Joint Nonlocal Similarity. - Yongqiang Zhao 001; Jingxiang Yang; Jonathan Cheung-Wai Chan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Jointly spatial-spectral resolution enhancement of hyperspectral imagery. - Yongqiang Zhao 001; Chen Yi; Jingxiang Yang (WHISPERS, 2015)

Hyperspectral Image Denoising via Sparse Representation and Low-Rank Constraint. - Yongqiang Zhao 001; Jingxiang Yang (IEEE Trans. Geosci. Remote. Sens., 2015)

Hyperspectral image classification using two-channel deep convolutional neural network. - Jingxiang Yang; Yongqiang Zhao 001; Jonathan Cheung-Wai Chan; Chen Yi (IGARSS, 2016)

A hyperspectral spatial-spectral enhancement algorithm. - Chen Yi; Yongqiang Zhao 001; Jingxiang Yang (IGARSS, 2016)

Spectral super-resolution based on matrix factorization and spectral dictionary. - Yongqiang Zhao 001; Chen Yi; Jingxiang Yang; Jonathan Cheung-Wai Chan (WHISPERS, 2016)

Coupled Sparse Denoising and Unmixing With Low-Rank Constraint for Hyperspectral Image. - Jingxiang Yang; Yongqiang Zhao 001; Jonathan Cheung-Wai Chan; Seong G. Kong (IEEE Trans. Geosci. Remote. Sens., 2016)

No-Reference Hyperspectral Image Quality Assessment via Quality-Sensitive Features Learning. - Jingxiang Yang; Yongqiang Zhao 001; Chen Yi; Jonathan Cheung-Wai Chan (Remote. Sens., 2017)

Learning and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification. - Jingxiang Yang; Yongqiang Zhao 001; Jonathan Cheung-Wai Chan (IEEE Trans. Geosci. Remote. Sens., 2017)

Joint Hyperspectral Superresolution and Unmixing With Interactive Feedback. - Chen Yi; Yongqiang Zhao 001; Jingxiang Yang; Jonathan Cheung-Wai Chan; Seong G. Kong (IEEE Trans. Geosci. Remote. Sens., 2017)

Hyperspectral and Multispectral Image Fusion via Deep Two-Branches Convolutional Neural Network. - Jingxiang Yang; Yong-Qiang Zhao 001; Jonathan Cheung-Wai Chan (Remote. Sens., 2018)

Hyperspectral Image Super-Resolution Based on Multi-Scale Wavelet 3D Convolutional Neural Network. - Jingxiang Yang; Yong-Qiang Zhao 001; Jonathan Cheung-Wai Chan (IGARSS, 2019)

A Multi-Scale Wavelet 3D-CNN for Hyperspectral Image Super-Resolution. - Jingxiang Yang; Yong-Qiang Zhao 001; Jonathan Cheung-Wai Chan; Liang Xiao 001 (Remote. Sens., 2019)

Video Deblurring Via 3d CNN and Fourier Accumulation Learning. - Fan Yang; Liang Xiao 001; Jingxiang Yang (ICASSP, 2020)

A Blind CSI Prediction Method Based on Deep Learning for V2I Millimeter-Wave Channel. - Jingxiang Yang; Liyan Li; Min-Jian Zhao 001 (ICNP, 2020)

Content-Guided Convolutional Neural Network for Hyperspectral Image Classification. - Qichao Liu; Liang Xiao 001; Jingxiang Yang; Jonathan Cheung-Wai Chan (IEEE Trans. Geosci. Remote. Sens., 2020)

Multi-Supervised Recursive-CNN for Hyperspectral and Multispectral Image Fusion. - Yuda Lu; Jingxiang Yang; Liang Xiao 001 (IGARSS, 2021)

Hybrid Local and Nonlocal 3-D Attentive CNN for Hyperspectral Image Super-Resolution. - Jingxiang Yang; Liang Xiao 001; Yong-Qiang Zhao 001; Jonathan Cheung-Wai Chan (IEEE Geosci. Remote. Sens. Lett., 2021)

Hyperspectral Image Classification via a Novel Spectral-Spatial 3D ConvLSTM-CNN. - Ghulam Farooque; Liang Xiao 001; Jingxiang Yang; Allah Bux Sargano (Remote. Sens., 2021)

Unified Low-Rank Subspace Clustering with Dynamic Hypergraph for Hyperspectral Image. - Jinhuan Xu; Liang Xiao 001; Jingxiang Yang (Remote. Sens., 2021)

CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification. - Qichao Liu; Liang Xiao 001; Jingxiang Yang; Zhihui Wei (IEEE Trans. Geosci. Remote. Sens., 2021)

Learning a Coupled Multilinear Network for Unsupervised Hyperspectral-Multispectral Image Fusion. - Jingxiang Yang; Liang Xiao 001 (IGARSS, 2022)

Learning Deep Subspace Projection Prior for Dual-Camera Compressive Hyperspectral Imaging. - Xiaoyang Chen; Jingxiang Yang; Liang Xiao 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

DHCAE: Deep Hybrid Convolutional Autoencoder Approach for Robust Supervised Hyperspectral Unmixing. - Fazal Hadi; Jingxiang Yang; Matee Ullah; Irfan Ahmad 009; Ghulam Farooque; Liang Xiao 001 (Remote. Sens., 2022)

NMF-DuNet: Nonnegative Matrix Factorization Inspired Deep Unrolling Networks for Hyperspectral and Multispectral Image Fusion. - Abdolraheem Khader; Jingxiang Yang; Liang Xiao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Multilevel Superpixel Structured Graph U-Nets for Hyperspectral Image Classification. - Qichao Liu; Liang Xiao 001; Jingxiang Yang; Zhihui Wei (IEEE Trans. Geosci. Remote. Sens., 2022)

Detail-Injection-Model-Inspired Deep Fusion Network for Pansharpening. - Zhikang Xiang; Liang Xiao 001; Jingxiang Yang; Wenzhi Liao; Wilfried Philips (IEEE Trans. Geosci. Remote. Sens., 2022)

Variational Regularization Network With Attentive Deep Prior for Hyperspectral-Multispectral Image Fusion. - Jingxiang Yang; Liang Xiao 001; Yongqiang Zhao 001; Jonathan Cheung-Wai Chan (IEEE Trans. Geosci. Remote. Sens., 2022)

Edge-Guided Feature Dense Fusion Network for Remote Sensing Image Change Detection. - Hejun Luo; Jia Liu 020; Fang Liu 001; Wenhua Zhang; Jingxiang Yang; Liang Xiao 001 (IGARSS, 2023)

A Real-Time Registration Algorithm of UAV Aerial Images Based on Feature Matching. - Zhiwen Liu; Gen Xu; Jiangjian Xiao; Jingxiang Yang; Ziyang Wang; Siyuan Cheng 015 (J. Imaging, 2023)

A Multiresolution Details Enhanced Attentive Dual-UNet for Hyperspectral and Multispectral Image Fusion. - Jian Fang; Jingxiang Yang; Abdolraheem Khader; Liang Xiao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Model-Guided Deep Unfolded Fusion Network With Nonlocal Spatial-Spectral Priors for Hyperspectral Image Super-Resolution. - Abdolraheem Khader; Jingxiang Yang; Liang Xiao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Multiple Deep Proximal Learning for Hyperspectral-Multispectral Image Fusion. - Jingxiang Yang; Tian Lin; Xiaoyang Chen; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Learning Degradation-Aware Deep Prior for Hyperspectral Image Reconstruction. - Jingxiang Yang; Tian Lin; Fang Liu; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Spectral-Spatial Attentions and Deep Supervision for Change Detection in Remote Sensing Images. - Xia Zhang; Jia Liu 020; Wenhua Zhang; Fang Liu 001; Jingxiang Yang; Liang Xiao 001 (IGARSS, 2024)

HS-McHF: Hypersharpening With Multicomponent-Based Hierarchical Features Fusion Network. - Zeinab Dehghan; Jingxiang Yang; Milad Taleby Ahvanooey; Abdolraheem Khader; Liang Xiao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

MIMO-SST: Multi-Input Multi-Output Spatial-Spectral Transformer for Hyperspectral and Multispectral Image Fusion. - Jian Fang; Jingxiang Yang; Abdolraheem Khader; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Deep Unfolding Network Enhanced by Transformer Priors for Unregistered Hyperspectral and Multispectral Image Fusion. - Jian Fang; Jingxiang Yang; Abdolraheem Khader; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Conjoint Cross-Attention Modeling and Joint Feature Calibrating for Remote Sensing Image Change Detection via a Triple-Double Network. - Fang Liu 034; Jiaqi An; Jia Liu 020; Jingxiang Yang; Xu Tang; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Content-Guided and Class-Oriented Learning for VHR Image Semantic Segmentation. - Fang Liu 034; Keming Liu; Jia Liu 020; Jingxiang Yang; Xu Tang; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Hyperspectral Reconstruction From RGB Images via Physically Guided Graph Deep Prior Learning. - Haifeng Xu; Jingxiang Yang; Tian Lin; Jia Liu 020; Fang Liu 034; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Unsupervised Deep Tensor Network for Hyperspectral-Multispectral Image Fusion. - Jingxiang Yang; Liang Xiao 001; Yong-Qiang Zhao 001; Jonathan Cheung-Wai Chan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-scale Feature Interaction and Adaptive Experts for Panoptic Segmentation in Remote Sensing Images. - Zhenkun Sun; Jia Liu 020; Wenhua Zhang; Fang Liu; Jingxiang Yang; Liang Xiao 001 (ICASSP, 2025)

Mask-guided Multi-scale Spatial-Spectral Transformer for Snapshot Compressive Imaging. - Heyuan Yin; Jingxiang Yang; Jia Liu 020; Liang Xiao 001 (ICASSP, 2025)

Deep one-class probability learning for end-to-end image classification. - Jia Liu 020; Wenhua Zhang; Fang Liu; Jingxiang Yang; Liang Xiao 001 (Neural Networks, 2025)

Learning Spectral-Spatial-Former Deep Prior for Hyperspectral Image Superresolution. - Zeinab Dehghan; Jingxiang Yang; Abdolraheem Khader; Jian Fang; Liang Xiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

TMAR: 3-D Transformer Network via Masked Autoencoder Regularization for Hyperspectral Sharpening. - Zeinab Dehghan; Jingxiang Yang; Mehran Yazdi; Abdolraheem Khader; Liang Xiao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Box2Change: A Novel Weakly Supervised Way for Change Detection via Consistency Instance Segmentation. - Fang Liu 034; Kanghua Yin; Jia Liu 020; Jingxiang Yang; Xu Tang; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Background-Driven and Foreground-Refined Network for Weakly Supervised Change Detection. - Fang Liu 034; Peng Zhang; Jia Liu 020; Jingxiang Yang; Xu Tang; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

DSSFT: Dual branch spectral-spatial feature fusion transformer network for hyperspectral image unmixing. - Fazal Hadi; Ghulam Farooque; Yuantian Shao; Jingxiang Yang; Liang Xiao 001 (Earth Sci. Informatics, 2025)