Xinling Liu

25 papers A* 1Journal 22Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Improved Sufficient Condition for Weighted $\ell _{r}-\ell _{1}$ Minimization.
IEEE Signal Process. Lett.
Jianwen Huang, Feng Zhang, Xinling Liu, Runbin Tang, Jinping Jia, Runke Wang
2026 J jnl
Manifold learning based on locally linear embedding for symmetric positive definite matrix.
Pattern Recognit.
Xinxin Zou, Hao Xu, Xinling Liu
2025 J jnl
Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization.
Signal Process.
Xinling Liu, Jiangjun Peng, Jingyao Hou, Yao Wang, Jianjun Wang
2025 J jnl
Image denoising via double-weighted correlated total variation regularization.
Appl. Intell.
Zhihao Zhang, Peng Zhang, Xinling Liu, Jingyao Hou, Qingrong Feng, Jianjun Wang
2025 J jnl
One-bit distributed compressed sensing with partial gaussian circulant matrices.
Appl. Intell.
Yuke Leng, Jingyao Hou, Xinling Liu, Jianjun Wang
2025 J jnl
Performance analysis of unconstrained ℓp minimization for sparse recovery.
Signal Process.
Jianwen Huang, Xinling Liu, Feng Zhang, Guowang Luo, Runbin Tang
2025 J jnl
Robust hyperspectral image recovery from low-resolution quantized incomplete observations.
Digit. Signal Process.
Yuhong He, Xinling Liu, Bochuan Zheng, Jingyao Hou, Jianjun Wang
2024 J jnl
Modified correlated total variation regularization for low-rank matrix recovery.
Signal Image Video Process.
Xinling Liu, Yi Dou, Jianjun Wang
2024 J jnl
Rate Optimization Based on Successive Convex Approximation Algorithm in the Self-Powered Visible Light Communication and Positioning System.
IEEE Trans. Wirel. Commun.
Zihuan Liang, Huimin Lu, Huimin Kong, Junyan Zhou, Xinling Liu, Danyang Chen, Jianli Jin, Jianping Wang, Haijun Zhang
2024 J jnl
Tensor recovery from binary measurements fused low-rankness and smoothness.
Signal Process.
Jingyao Hou, Xinling Liu, Hailin Wang, Ke Guo
2024 J jnl
The Perturbation Analysis of Nonconvex Low-Rank Matrix Robust Recovery.
IEEE Trans. Neural Networks Learn. Syst.
Jianwen Huang, Feng Zhang, Jianjun Wang, Xinling Liu, Jinping Jia
2024 J jnl
Theory and Fast Learned Solver for ℓ
CoRR
Xinling Liu, Jianjun Wang, Bangti Jin
2023 J jnl
Error Bounds for Approximations Using Multichannel Deep Convolutional Neural Networks with Downsampling.
J. Appl. Math.
Xinling Liu, Jingyao Hou
2023 J jnl
Robust principal component analysis via weighted nuclear norm with modified second-order total variation regularization.
Vis. Comput.
Yi Dou, Xinling Liu, Ming Zhou, Jianjun Wang
2023 — conf
Schatten Capped p Regularization for Robust Principle Component Analysis.
CGI (4)
Lan Yang, Bin Zhang, Qingrong Feng, Xinling Liu, Jianjun Wang
2023 J jnl
Semi-tensor product-based one-bit compressed sensing.
EURASIP J. Adv. Signal Process.
Jingyao Hou, Xinling Liu
2023 J jnl
Signal recovery adapted to a dictionary from non-convex compressed sensing.
Int. J. Comput. Sci. Math.
Jianwen Huang, Feng Zhang, Xinling Liu, Jinping Jia, Runke Wang
2023 A* conf
Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness.
AAAI
Xinling Liu, Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng, Jianjun Wang
2023 J jnl
The null space property of the weighted ℓr - ℓ1 minimization.
Int. J. Wavelets Multiresolution Inf. Process.
Jianwen Huang, Xinling Liu, Jinping Jia
2022 J jnl
1-Bit Compressed Sensing via an L1-TV Regularization Method.
IEEE Access
Jingyao Hou, Xinling Liu
2022 J jnl
Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation.
IEEE Trans. Geosci. Remote. Sens.
Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xinling Liu, Xiangyu Rui, Deyu Meng
2022 J jnl
Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery.
IEEE Trans. Neural Networks Learn. Syst.
Hailin Wang, Feng Zhang, Jianjun Wang, Tingwen Huang, Jianwen Huang, Xinling Liu
2022 J jnl
Robust Low-Rank Matrix Recovery Fusing Local-Smoothness.
IEEE Signal Process. Lett.
Xinling Liu, Jingyao Hou, Jianjun Wang
2020 — conf
Joint Multi-object Detection and Segmentation from an Untrimmed Video.
AIAI (1)
Xinling Liu, Le Wang, Qilin Zhang, Nanning Zheng, Gang Hua
2020 J jnl
The high-order block RIP for non-convex block-sparse compressed sensing.
CoRR
Jianwen Huang, Xinling Liu, Jingyao Hou, Jianjun Wang