Least Square Regularized Regression in Sum Space. - Yong-Li Xu; Di-Rong Chen; Han-Xiong Li; Lu Liu 010 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Exact minimum rank approximation via Schatten p-norm minimization. - Lu Liu 010; Wei Huang 020; Di-Rong Chen (J. Comput. Appl. Math., 2014)

Convergence of ℓ2/3 Regularization for Sparse Signal Recovery. - Lu Liu 010; Di-Rong Chen (Asia Pac. J. Oper. Res., 2015)

Spaceborne Video-SAR moving target surveillance system. - Bo Liu 016; Xuepan Zhang; Kan Tang; Min Liu 010; Lu Liu 010 (IGARSS, 2016)

Space-borne SAR imaging degradation due to the ionospheric high order dispersive delay. - Cheng Wang 006; Liang Chen; Lu Liu 010 (IGARSS, 2016)

Efficient radon fractional Fourier transform for efficient motion parameters estimation in SAR-GMTI system. - Xuepan Zhang; Bo Liu 016; Zheng Lv; Kai Wang; Zongwu Dai; Lu Liu 010; Min Liu 010 (IGARSS, 2016)

Recovery of Low Rank Symmetric Matrices via Schatten p Norm Minimization. - Li Cui; Lu Liu 010; Di-Rong Chen; Jianfeng Xie (Asia Pac. J. Oper. Res., 2016)

Parameterized Pseudo-Localization for Accurate and Efficient Moving Targets Imaging in Synthetic Aperture Radar. - Xuepan Zhang; Lu Liu 010; Xuejing Zhang (Sensors, 2017)

Robust Computerized Ionospheric Tomography Based on Spaceborne Polarimetric SAR Data. - Cheng Wang 006; Liang Chen; Lu Liu 010; Jian Yang; Zheng Lu; Jian Feng; Haisheng Zhao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

A New Analytical Model to Study the Ionospheric Effects on VHF/UHF Wideband SAR Imaging. - Cheng Wang 006; Liang Chen; Lu Liu 010 (IEEE Trans. Geosci. Remote. Sens., 2017)

Sparse signal recovery via non-convex optimization and overcomplete dictionaries. - Wei Huang 020; Lu Liu 010; Zhuo Yang; Yao Zhao (Int. J. Wavelets Multiresolution Inf. Process., 2018)

A Novel Sidelobe Reduction Algorithm Based on Two-Dimensional Sidelobe Correction Using D-SVA for Squint SAR Images. - Min Liu 010; Zhou Li 002; Lu Liu 010 (Sensors, 2018)

Hyperspectral Image Classification With Kernel-Based Least-Squares Support Vector Machines in Sum Space. - Lu Liu 010; Wei Huang 020; Cheng Wang 006 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Semisupervised Hyperspectral Image Classification via Laplacian Least Squares Support Vector Machine in Sum Space and Random Sampling. - Lu Liu 010; Wei Huang 020; Bo Liu 016; Li Shen; Cheng Wang 006 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Generalization Performance of ℓ1-Coefficient Regularized Regression With Multiscale Kernels Based on Markov Chain Samples. - Lu Liu 010; Bo Liu 016 (IEEE Access, 2019)

Improved Faraday Rotation Estimation in Spaceborne PolSAR Data Using Total Variation Denoising. - Wulong Guo; Lu Liu 010; Bo Liu 016; Liang Chen; Haisheng Zhao; Cheng Wang 006 (Remote. Sens., 2019)

Learning performance of regularized regression with multiscale kernels based on Markov observations. - Lu Liu 010; Wei Huang 020; Li Shen (Appl. Math. Comput., 2021)

Tomographic Imaging for Orbital Radar Sounding of Earth's Ice Sheets. - Min Liu 010; Peng Xiao 001; Lu Liu 010; Xiaohong Sui; Chunzhu Yuan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

PolSAR Image Classification with Active Complex-Valued Convolutional-Wavelet Neural Network and Markov Random Fields. - Lu Liu 010; Yongxiang Li (Remote. Sens., 2024)