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Xinling Liu
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2020 – today
- 2025
- [j12]Xinling Liu, Jiangjun Peng, Jingyao Hou, Yao Wang, Jianjun Wang:
Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization. Signal Process. 227: 109706 (2025) - 2024
- [j11]Jingyao Hou
, Xinling Liu
Tensor recovery from binary measurements fused low-rankness and smoothness. Signal Process. 221: 109480 (2024) - [j10]Xinling Liu, Yi Dou, Jianjun Wang:
Modified correlated total variation regularization for low-rank matrix recovery. Signal Image Video Process. 18(10): 6807-6819 (2024) - 2023
- [j9]Jingyao Hou
Semi-tensor product-based one-bit compressed sensing. EURASIP J. Adv. Signal Process. 2023(1): 112 (2023) - [j8]Jianwen Huang
Signal recovery adapted to a dictionary from non-convex compressed sensing. Int. J. Comput. Sci. Math. 18(3): 224-234 (2023) - [j7]Jianwen Huang
The null space property of the weighted ℓr - ℓ1 minimization. Int. J. Wavelets Multiresolution Inf. Process. 21(6) (2023) - [j6]Xinling Liu
Error Bounds for Approximations Using Multichannel Deep Convolutional Neural Networks with Downsampling. J. Appl. Math. 2023: 8208424:1-8208424:12 (2023) - [j5]Yi Dou, Xinling Liu, Ming Zhou, Jianjun Wang:
Robust principal component analysis via weighted nuclear norm with modified second-order total variation regularization. Vis. Comput. 39(8): 3495-3505 (2023) - [c3]Xinling Liu, Jingyao Hou, Jiangjun Peng
Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness. AAAI 2023: 8879-8887 - [c2]Lan Yang, Bin Zhang, Qingrong Feng, Xinling Liu, Jianjun Wang:
Schatten Capped p Regularization for Robust Principle Component Analysis. CGI (4) 2023: 28-40 - 2022
- [j4]Jingyao Hou
1-Bit Compressed Sensing via an L1-TV Regularization Method. IEEE Access 10: 116473-116484 (2022) - [j3]Xinling Liu
Robust Low-Rank Matrix Recovery Fusing Local-Smoothness. IEEE Signal Process. Lett. 29: 2552-2556 (2022) - [j2]Jiangjun Peng
Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j1]Hailin Wang, Feng Zhang, Jianjun Wang, Tingwen Huang, Jianwen Huang, Xinling Liu:
Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3305-3319 (2022) - 2020
- [c1]Xinling Liu, Le Wang, Qilin Zhang, Nanning Zheng, Gang Hua:
Joint Multi-object Detection and Segmentation from an Untrimmed Video. AIAI (1) 2020: 317-329 - [i1]Jianwen Huang, Xinling Liu, Jingyao Hou, Jianjun Wang:
The high-order block RIP for non-convex block-sparse compressed sensing. CoRR abs/2006.06344 (2020)
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