Joint Multi-object Detection and Segmentation from an Untrimmed Video. - Xinling Liu; Le Wang 003; Qilin Zhang; Nanning Zheng 001; Gang Hua 001 (AIAI (1), 2020)

The high-order block RIP for non-convex block-sparse compressed sensing. - Jianwen Huang; Xinling Liu; Jingyao Hou; Jianjun Wang 003 (CoRR, 2020)

1-Bit Compressed Sensing via an L1-TV Regularization Method. - Jingyao Hou; Xinling Liu (IEEE Access, 2022)

Robust Low-Rank Matrix Recovery Fusing Local-Smoothness. - Xinling Liu; Jingyao Hou; Jianjun Wang 003 (IEEE Signal Process. Lett., 2022)

Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation. - Jiangjun Peng; Hailin Wang; Xiangyong Cao; Xinling Liu; Xiangyu Rui; Deyu Meng (IEEE Trans. Geosci. Remote. Sens., 2022)

Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery. - Hailin Wang; Feng Zhang 023; Jianjun Wang 003; Tingwen Huang; Jianwen Huang; Xinling Liu (IEEE Trans. Neural Networks Learn. Syst., 2022)

Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness. - Xinling Liu; Jingyao Hou; Jiangjun Peng; Hailin Wang; Deyu Meng; Jianjun Wang 003 (AAAI, 2023)

Schatten Capped p Regularization for Robust Principle Component Analysis. - Lan Yang; Bin Zhang; Qingrong Feng; Xinling Liu; Jianjun Wang (CGI (4), 2023)

Signal recovery adapted to a dictionary from non-convex compressed sensing. - Jianwen Huang; Feng Zhang 023; Xinling Liu; Jinping Jia; Runke Wang (Int. J. Comput. Sci. Math., 2023)

The null space property of the weighted ℓr - ℓ1 minimization. - Jianwen Huang; Xinling Liu; Jinping Jia (Int. J. Wavelets Multiresolution Inf. Process., 2023)

Error Bounds for Approximations Using Multichannel Deep Convolutional Neural Networks with Downsampling. - Xinling Liu; Jingyao Hou (J. Appl. Math., 2023)

Robust principal component analysis via weighted nuclear norm with modified second-order total variation regularization. - Yi Dou; Xinling Liu; Ming Zhou 001; Jianjun Wang (Vis. Comput., 2023)

Semi-tensor product-based one-bit compressed sensing. - Jingyao Hou; Xinling Liu (EURASIP J. Adv. Signal Process., 2023)

Theory and Fast Learned Solver for ℓ1-TV Regularization. - Xinling Liu; Jianjun Wang; Bangti Jin (CoRR, 2024)

Tensor recovery from binary measurements fused low-rankness and smoothness. - Jingyao Hou; Xinling Liu; Hailin Wang; Ke Guo (Signal Process., 2024)

Modified correlated total variation regularization for low-rank matrix recovery. - Xinling Liu; Yi Dou; Jianjun Wang (Signal Image Video Process., 2024)

The Perturbation Analysis of Nonconvex Low-Rank Matrix Robust Recovery. - Jianwen Huang; Feng Zhang 023; Jianjun Wang 003; Xinling Liu; Jinping Jia (IEEE Trans. Neural Networks Learn. Syst., 2024)

Rate Optimization Based on Successive Convex Approximation Algorithm in the Self-Powered Visible Light Communication and Positioning System. - Zihuan Liang; Huimin Lu 003; Huimin Kong; Junyan Zhou; Xinling Liu; Danyang Chen; Jianli Jin; Jianping Wang 005; Haijun Zhang 001 (IEEE Trans. Wirel. Commun., 2024)

Robust hyperspectral image recovery from low-resolution quantized incomplete observations. - Yuhong He; Xinling Liu; Bochuan Zheng; Jingyao Hou; Jianjun Wang (Digit. Signal Process., 2025)

Performance analysis of unconstrained ℓp minimization for sparse recovery. - Jianwen Huang; Xinling Liu; Feng Zhang 023; Guowang Luo; Runbin Tang (Signal Process., 2025)

Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization. - Xinling Liu; Jiangjun Peng; Jingyao Hou; Yao Wang 003; Jianjun Wang 003 (Signal Process., 2025)

Image denoising via double-weighted correlated total variation regularization. - Zhihao Zhang; Peng Zhang; Xinling Liu; Jingyao Hou; Qingrong Feng; Jianjun Wang 003 (Appl. Intell., 2025)

One-bit distributed compressed sensing with partial gaussian circulant matrices. - Yuke Leng; Jingyao Hou; Xinling Liu; Jianjun Wang 003 (Appl. Intell., 2025)