Specular reflection removal using local structural similarity and chromaticity consistency. - Yongqiang Zhao 001; Qunnie Peng; Jize Xue; Seong G. Kong (ICIP, 2015)

Tensor non-local low-rank regularization for recovering compressed hyperspectral images. - Yongqiang Zhao 001; Jize Xue; Jinglei Hao (ICIP, 2017)

Total Variation and Rank-1 Constraint RPCA for Background Subtraction. - Jize Xue; Yongqiang Zhao 001; Wenzhi Liao; Jonathan Cheung-Wai Chan (IEEE Access, 2018)

Joint Spatial and Spectral Low-Rank Regularization for Hyperspectral Image Denoising. - Jize Xue; Yongqiang Zhao 001; Wenzhi Liao; Seong G. Kong (IEEE Trans. Geosci. Remote. Sens., 2018)

Hyper-Laplacian regularized nonlocal low-rank matrix recovery for hyperspectral image compressive sensing reconstruction. - Jize Xue; Yongqiang Zhao 001; Wenzhi Liao; Jonathan Cheung-Wai Chan (Inf. Sci., 2019)

Nonconvex tensor rank minimization and its applications to tensor recovery. - Jize Xue; Yongqiang Zhao 001; Wenzhi Liao; Jonathan Cheung-Wai Chan (Inf. Sci., 2019)

Hyperspectral Image Denoising Using Global Weighted Tensor Norm Minimum and Nonlocal Low-Rank Approximation. - Xiangyang Kong; Yongqiang Zhao 001; Jize Xue; Jonathan Cheung-Wai Chan (Remote. Sens., 2019)

Nonlocal Tensor Sparse Representation and Low-Rank Regularization for Hyperspectral Image Compressive Sensing Reconstruction. - Jize Xue; Yongqiang Zhao 001; Wenzhi Liao; Jonathan Cheung-Wai Chan (Remote. Sens., 2019)

Nonlocal Low-Rank Regularized Tensor Decomposition for Hyperspectral Image Denoising. - Jize Xue; Yongqiang Zhao 001; Wenzhi Liao; Jonathan Cheung-Wai Chan (IEEE Trans. Geosci. Remote. Sens., 2019)

Global and Local Tensor Sparse Approximation Models for Hyperspectral Image Destriping. - Xiangyang Kong; Yongqiang Zhao 001; Jize Xue; Jonathan Cheung-Wai Chan; Seong G. Kong (Remote. Sens., 2020)

Hyperspectral Image Denoising Based on Nonlocal Low-Rank and TV Regularization. - Xiangyang Kong; Yongqiang Zhao 001; Jize Xue; Jonathan Cheung-Wai Chan; Zhigang Ren; HaiXia Huang; JiYuan Zang (Remote. Sens., 2020)

Enhanced Sparsity Prior Model for Low-Rank Tensor Completion. - Jize Xue; Yongqiang Zhao 001; Wenzhi Liao; Jonathan Cheung-Wai Chan; Seong G. Kong (IEEE Trans. Neural Networks Learn. Syst., 2020)

Smooth Coupled Tucker Decomposition for Hyperspectral Image Super-Resolution. - Yuanyang Bu; Yongqiang Zhao 001; Jize Xue; Jonathan Cheung-Wai Chan (PRCV (3), 2021)

Hyperspectral and Multispectral Image Fusion via Graph Laplacian-Guided Coupled Tensor Decomposition. - Yuanyang Bu; Yongqiang Zhao 001; Jize Xue; Jonathan Cheung-Wai Chan; Seong G. Kong; Chen Yi; Jinhuan Wen; Binglu Wang (IEEE Trans. Geosci. Remote. Sens., 2021)

Spatial-Spectral Structured Sparse Low-Rank Representation for Hyperspectral Image Super-Resolution. - Jize Xue; Yongqiang Zhao 001; Yuanyang Bu; Wenzhi Liao; Jonathan Cheung-Wai Chan; Wilfried Philips (IEEE Trans. Image Process., 2021)

Hyperspectral Image Restoration via Spatial-Spectral Residual Total Variation Regularized Low-Rank Tensor Decomposition. - Xiangyang Kong; Yongqiang Zhao 001; Jonathan Cheung-Wai Chan; Jize Xue (Remote. Sens., 2022)

When Laplacian Scale Mixture Meets Three-Layer Transform: A Parametric Tensor Sparsity for Tensor Completion. - Jize Xue; Yongqiang Zhao 001; Yuanyang Bu; Jonathan Cheung-Wai Chan; Seong G. Kong (IEEE Trans. Cybern., 2022)

Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion. - Jize Xue; Yongqiang Zhao 001; Shaoguang Huang; Wenzhi Liao; Jonathan Cheung-Wai Chan; Seong G. Kong (IEEE Trans. Neural Networks Learn. Syst., 2022)

Transformed Structured Sparsity With Smoothness for Hyperspectral Image Deblurring. - Jinglei Hao; Jize Xue; Yong-Qiang Zhao 001; Jonathan Cheung-Wai Chan (IEEE Geosci. Remote. Sens. Lett., 2023)

Multimodal Core Tensor Factorization and its Applications to Low-Rank Tensor Completion. - Haijin Zeng; Jize Xue; Hiep Luong 001; Wilfried Philips (IEEE Trans. Multim., 2023)

Heterogeneous Regularization-Based Tensor Subspace Clustering for Hyperspectral Band Selection. - Shaoguang Huang; Hongyan Zhang 001; Jize Xue; Aleksandra Pizurica (IEEE Trans. Neural Networks Learn. Syst., 2023)

Depressformer: Leveraging Video Swin Transformer and fine-grained local features for depression scale estimation. - Lang He; Zheng Li; Prayag Tiwari; Cui Cao; Jize Xue; Feng Zhu; Di Wu (Biomed. Signal Process. Control., 2024)

Transferable Multiple Subspace Learning for Hyperspectral Image Super-Resolution. - Yuanyang Bu; Yongqiang Zhao 001; Jize Xue; Jiaxin Yao; Jonathan Cheung-Wai Chan (IEEE Geosci. Remote. Sens. Lett., 2024)

Low-Rank Tensor Completion Based on Self-Adaptive Learnable Transforms. - Tongle Wu; Bin Gao 003; Jicong Fan 001; Jize Xue; Wai Lok Woo (IEEE Trans. Neural Networks Learn. Syst., 2024)

Tensor Convolution-Like Low-Rank Dictionary for High-Dimensional Image Representation. - Jize Xue; Yongqiang Zhao 001; Tongle Wu; Jonathan Cheung-Wai Chan (IEEE Trans. Circuits Syst. Video Technol., 2024)

Transductive gradient injection for improved hyperspectral image denoising. - Yuanyang Bu; Yong-Qiang Zhao 001; Jize Xue; Seong G. Kong; Jiaxin Yao; Jonathan Cheung-Wai Chan; Pan Liu; Xun Zhang (Eng. Appl. Artif. Intell., 2025)