Xinling Liu

According to our database, Xinling Liu authored at least 20 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Image denoising via double-weighted correlated total variation regularization.

Zhihao Zhang, Peng Zhang, Xinling Liu, Jingyao Hou, Qingrong Feng, Jianjun Wang

Appl. Intell., February, 2025

Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization.

Xinling Liu, Jiangjun Peng, Jingyao Hou, Yao Wang, Jianjun Wang

Signal Process., 2025

2024

Rate Optimization Based on Successive Convex Approximation Algorithm in the Self-Powered Visible Light Communication and Positioning System.

Zihuan Liang, Huimin Lu, Huimin Kong, Junyan Zhou, Xinling Liu, Danyang Chen, Jianli Jin, Jianping Wang, Haijun Zhang

IEEE Trans. Wirel. Commun., November, 2024

The Perturbation Analysis of Nonconvex Low-Rank Matrix Robust Recovery.

Jianwen Huang, Feng Zhang, Jianjun Wang, Xinling Liu, Jinping Jia

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Modified correlated total variation regularization for low-rank matrix recovery.

Xinling Liu, Yi Dou, Jianjun Wang

Signal Image Video Process., September, 2024

Tensor recovery from binary measurements fused low-rankness and smoothness.

Jingyao Hou, Xinling Liu, Hailin Wang, Ke Guo

Signal Process., 2024

Theory and Fast Learned Solver for ℓ¹-TV Regularization.

Xinling Liu, Jianjun Wang, Bangti Jin

CoRR, 2024

2023

Semi-tensor product-based one-bit compressed sensing.

Jingyao Hou, Xinling Liu

EURASIP J. Adv. Signal Process., December, 2023

Robust principal component analysis via weighted nuclear norm with modified second-order total variation regularization.

Yi Dou, Xinling Liu, Ming Zhou, Jianjun Wang

Vis. Comput., August, 2023

Error Bounds for Approximations Using Multichannel Deep Convolutional Neural Networks with Downsampling.

Xinling Liu, Jingyao Hou

J. Appl. 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

Signal recovery adapted to a dictionary from non-convex compressed sensing.

Jianwen Huang, Feng Zhang, Xinling Liu, Jinping Jia, Runke Wang

Int. J. Comput. Sci. Math., 2023

Schatten Capped p Regularization for Robust Principle Component Analysis.

Lan Yang, Bin Zhang, Qingrong Feng, Xinling Liu, Jianjun Wang

Proceedings of the Advances in Computer Graphics, 2023

Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness.

Xinling Liu, Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng, Jianjun Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery.

Hailin Wang, Feng Zhang, Jianjun Wang, Tingwen Huang, Jianwen Huang, Xinling Liu

IEEE Trans. Neural Networks Learn. Syst., 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

Robust Low-Rank Matrix Recovery Fusing Local-Smoothness.

Xinling Liu, Jingyao Hou, Jianjun Wang

IEEE Signal Process. Lett., 2022

1-Bit Compressed Sensing via an L1-TV Regularization Method.

Jingyao Hou, Xinling Liu

IEEE Access, 2022

2020

The high-order block RIP for non-convex block-sparse compressed sensing.

Jianwen Huang, Xinling Liu, Jingyao Hou, Jianjun Wang

CoRR, 2020

Joint Multi-object Detection and Segmentation from an Untrimmed Video.

Xinling Liu, Le Wang, Qilin Zhang, Nanning Zheng, Gang Hua

Proceedings of the Artificial Intelligence Applications and Innovations, 2020