Partial least-squares regression on common feature space for single image superresolution. - Songze Tang; Liang Xiao 001; Pengfei Liu 002; Huicong Wu (J. Electronic Imaging, 2014)

Edge and color preserving single image superresolution. - Songze Tang; Liang Xiao 001; Pengfei Liu 002; Jun Zhang 024; Lili Huang (J. Electronic Imaging, 2014)

Coupled learning based on singular-values-unique and hog for face hallucination. - Songze Tang; Liang Xiao 001; Pengfei Liu 002; Huicong Wu (ICASSP, 2015)

A new variational method for pan-sharpening. - Pengfei Liu 002; Liang Xiao 001; Songze Tang (IGARSS, 2015)

Joint dictionary learning with ridge regression for pansharpening. - Songze Tang; Liang Xiao 001; Bushra Naz; Pengfei Liu 002; Yufeng Chen (IGARSS, 2015)

A New Pan-Sharpening Method With Deep Neural Networks. - Wei Huang 013; Liang Xiao 001; Zhihui Wei; Hongyi Liu 001; Songze Tang (IEEE Geosci. Remote. Sens. Lett., 2015)

Coupled dictionary learning on common feature space for medical image super resolution. - Songze Tang; Haitao Guo; Nan Zhou; Lili Huang; Tianming Zhan (ICIP, 2016)

Fractional order variational pan-sharpening. - Pengfei Liu 002; Liang Xiao 001; Songze Tang; Le Sun 002 (IGARSS, 2016)

A New Geometry Enforcing Variational Model for Pan-Sharpening. - Pengfei Liu 002; Liang Xiao 001; Songze Tang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Pansharpening via Locality-Constrained Sparse Representation. - Songze Tang; Nan Zhou; Liang Xiao 001 (BMVC, 2017)

Video stabilisation with total warping variation model. - Huicong Wu; Liang Xiao 001; Hiuk Jae Shim; Songze Tang (IET Image Process., 2017)

Pan-Sharpening with Hessian Nuclear Norm Induced Spatial Consistency. - Pengfei Liu 002; Liang Xiao 001; Songze Tang (IGARSS, 2018)

Local Similarity Regularized Sparse Representation for Hyperspectral Image Super-Resolution. - Songze Tang; Nan Zhou (IGARSS, 2018)

Clustering Hyperspectral Images Via Sparse Dictionary Learning with Joint Sparsity and Shared Wavelets. - Nan Huang 001; Liang Xiao 001; Songze Tang; Qichao Liu (IGARSS, 2019)

Hyperspectral Image Classification Via Tensor Ridge Regression. - Jianjun Liu; Hao Chen; Songze Tang; Jinlong Yang 002; Hong Yan 001 (IGARSS, 2019)

Face Sketch Synthesis Based on Adaptive Similarity Regularization. - Songze Tang; Mingyue Qiu (IScIDE (1), 2019)

Face Sketch Synthesis Based on Local and Nonlocal Similarity Regularization. - Songze Tang; Xuhuan Zhou; Nan Zhou; Le Sun 002; Jin Wang 001 (J. Inf. Process. Syst., 2019)

Hyperspectral Image Super-Resolution via Adaptive Dictionary Learning and Double l1 Constraint. - Songze Tang; Yang Xu 006; Lili Huang; Le Sun 002 (Remote. Sens., 2019)

SLRL4D: Joint Restoration of Subspace Low-Rank Learning and Non-Local 4-D Transform Filtering for Hyperspectral Image. - Le Sun 002; Chengxun He; Yuhui Zheng; Songze Tang (Remote. Sens., 2020)

3-D Channel and Spatial Attention Based Multiscale Spatial-Spectral Residual Network for Hyperspectral Image Classification. - Zhenyu Lu 002; Bin Xu; Le Sun 002; Tianming Zhan; Songze Tang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Pansharpening with Spatial Hyper-Laplacian and Spectral Sparse Constraints. - Pengfei Liu 002; Songze Tang; Lili Huang (IGARSS, 2022)

Correntropy-based dual graph regularized nonnegative matrix factorization with Lp smoothness for data representation. - Zhenqiu Shu; Zonghui Weng; Zhengtao Yu 001; Cong-Zhe You; Zhen Liu 015; Songze Tang; Xiaojun Wu 001 (Appl. Intell., 2022)

Spatial-Spectral Split Attention Residual Network for Hyperspectral Image Classification. - Zhenqiu Shu; Zigao Liu; Jun Zhou 001; Songze Tang; Zhengtao Yu 001; Xiaojun Wu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Mixed noise face hallucination via adaptive weighted residual and nuclear-norm regularization. - Songze Tang; Zhenqiu Shu (Appl. Intell., 2023)