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)

Efficient multiplicative noise removal method using isotropic second order total variation. - Pengfei Liu 002; Liang Xiao 001 (Comput. Math. Appl., 2015)

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

A fast higher degree total variation minimization method for image restoration. - Pengfei Liu 002; Liang Xiao 001; Jun Zhang 024 (Int. J. Comput. Math., 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)

Spatial-Hessian-Feature-Guided Variational Model for Pan-Sharpening. - Pengfei Liu 002; Liang Xiao 001; Jun Zhang 024; Bushra Naz (IEEE Trans. Geosci. Remote. Sens., 2016)

Discriminative Pixel-Pairwise Constraint-Guided Extreme Learning Machine for Semi-Supervised Hyperspectral Image Classification. - Jinhuan Xu; Pengfei Liu 002; Le Sun 002; Liang Xiao 001 (ICIP, 2018)

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

A Novel Generalized Intensity-Hue-Saturation (GIHS) Based Pan-Sharpening Method With Variational Hessian Transferring. - Pengfei Liu 002; Liang Xiao 001 (IEEE Access, 2018)

A Novel Hyperspectral Image Clustering Method With Context-Aware Unsupervised Discriminative Extreme Learning Machine. - Jinhuan Xu; Heng Li 012; Pengfei Liu 002; Liang Xiao 001 (IEEE Access, 2018)

Normal curvature-induced variational model for image restoration. - Pengfei Liu 002; Liang Xiao 001; Tao Li 001 (IET Image Process., 2018)

A Variational Pan-Sharpening Method Based on Spatial Fractional-Order Geometry and Spectral-Spatial Low-Rank Priors. - Pengfei Liu 002; Liang Xiao 001; Tao Li 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

Data Augmentation and Refining with Steering Stencils for Supervised Classification of Hyperspectral Image. - Qichao Liu; Liang Xiao 001; Pengfei Liu 002; Nan Huang 001 (IGARSS, 2019)

A Multi-Scale Densely Deep Learning Method for Pansharpening. - Zhikang Xiang; Liang Xiao 001; Pengfei Liu 002; Yufei Zhang (IGARSS, 2019)

Joint Spectral and Spatial Consistency Priors for Variational Pansharpening. - Pengfei Liu 002 (IEEE Access, 2019)

Pansharpening with transform-based gradient transferring model. - Pengfei Liu 002 (IET Image Process., 2019)

Multicomponent Driven Consistency Priors for Simultaneous Decomposition and Pansharpening. - Pengfei Liu 002; Liang Xiao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Hybrid higher-order total variation model for multiplicative noise removal. - Pengfei Liu 002 (IET Image Process., 2020)

Compact Global-Local Convolutional Network With Multifeature Fusion and Learning for Scene Classification in Synthetic Aperture Radar Imagery. - Kang Ni; Pengfei Liu 002; Peng Wang 030 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

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

Spatial and Spectral Anisotropic Tensor Total Variation-Driven Adaptive Pansharpening. - Pengfei Liu 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

High-Resolution SAR Image Classification Using Subspace Wavelet Encoding Network. - Kang Ni; Pengfei Liu 002; Peng Wang 030 (IEEE Geosci. Remote. Sens. Lett., 2022)

Spectral Gradient Fidelity and Spatial Hessian Hyper-Laplacian Sparsity Constraints for Variational Pansharpening. - Pengfei Liu 002; Yun Li 009 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

A Unified Pansharpening Method With Structure Tensor Driven Spatial Consistency and Deep Plug-and-Play Priors. - Pengfei Liu 002; Jiahui Liu; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Nonconvex Pansharpening Model With Spatial and Spectral Gradient Difference-Induced Nonconvex Sparsity Priors. - Pengfei Liu 002; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Image Destriping and Denoising with Spectral Low Rank and Tensor Nuclear Norm. - Pengfei Liu 002; Lanlan Liu (IGARSS, 2023)

A Novel Tensor-Based Hyperspectral Image Restoration Method With Low-Rank Modeling in Gradient Domains. - Pengfei Liu 002; Lanlan Liu; Liang Xiao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Multiresolution Analysis-Inspired Spatial and Spectral Details Preserved Model for Variational Pansharpening. - Pengfei Liu 002; Jiahui Liu; Liang Xiao 001; Zhizhong Zheng (IEEE Trans. Geosci. Remote. Sens., 2023)

Multiresolution Analysis Pansharpening Based on Variation Factor for Multispectral and Panchromatic Images From Different Times. - Peng Wang 030; Hongyu Yao; Bo Huang 001; Henry Leung; Pengfei Liu 002 (IEEE Trans. Geosci. Remote. Sens., 2023)

Pansharpening With Spatial Hessian Non-Convex Sparse and Spectral Gradient Low Rank Priors. - Pengfei Liu 002 (IEEE Trans. Image Process., 2023)

Multimode Structural Nonconvex Tensor Low-Rank Regularized Hyperspectral Image Destriping and Denoising. - Pengfei Liu 002; Haijian Long; Kang Ni; Zhizhong Zheng (IEEE Geosci. Remote. Sens. Lett., 2024)

Pansharpening via Double Nonconvex Tensor Low-Tubal-Rank Priors. - Pengfei Liu 002; Zhizhong Zheng (IEEE Geosci. Remote. Sens. Lett., 2024)

Patchwise Temporal-Spatial Feature Aggregation Network for Object Detection in Satellite Video. - Shangdong Zheng; Zebin Wu 001; Yang Xu 006; Pengfei Liu 002; Peng Zheng; Zhihui Wei (IEEE Geosci. Remote. Sens. Lett., 2024)

Adaptive Spatial Structure-Aware and Spectral Gradient Structure Tensor-Guided Model for Pansharpening. - Pengfei Liu 002; Zhizhong Zheng; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

D2PNet: Deep Detail Priors for Multispectral Image Fusion. - Pengfei Liu 002; Jiahui Liu (IEEE Signal Process. Lett., 2025)

Gradient Subspace-Regularized Hyperspectral Image and Stripe-Coupled Nonconvex Tensor Low-Rank Priors for Destriping and Denoising. - Pengfei Liu 002; Haijian Long; Zhizhong Zheng; Nan Huang 001; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Hyperspectral Image Denoising and Destriping via Gradient Tensor Subspace Low-Rank Learning and Along-Across Stripe Directional Constraints. - Pengfei Liu 002; Haijian Long; Zhizhong Zheng; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Graph-Based Tensor Bayesian Multispectral Image Fusion With Nonconvex Tensor Rank Minimization Model. - Pengfei Liu 002; Zhizhong Zheng; Shangdong Zheng; Liang Xiao 001 (IEEE Trans. Instrum. Meas., 2025)

DPNet: A Lightweight Directional-Aware Pointwise Network for Dropper Defect Detection in High-Speed Railway Preventive Maintenance. - Shangdong Zheng; Zebin Wu 001; Yang Xu 006; Pengfei Liu 002; Zhihui Wei (IEEE Trans. Instrum. Meas., 2025)