Xiaolan Liu

Orcid: 0000-0003-0560-472X

Affiliations:
  • South China University of Technology, School of Mathematics, Guangzhou, China (PhD 2011)


According to our database1, Xiaolan Liu authored at least 15 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
A Nonlocal Self-Similarity-Based Weighted Tensor Low-Rank Decomposition for Multichannel Image Completion With Mixture Noise.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

2023
Multichannel Image Completion With Mixture Noise: Adaptive Sparse Low-Rank Tensor Subspace Meets Nonlocal Self-Similarity.
IEEE Trans. Cybern., December, 2023

2022
Novel Hybrid Low-Rank Tensor Approximation for Hyperspectral Image Mixed Denoising Based on Global-Guided-Nonlocal Prior Mechanism.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
Multi-view subspace clustering with adaptive locally consistent graph regularization.
Neural Comput. Appl., 2021

Incomplete multi-view subspace clustering with adaptive instance-sample mapping and deep feature fusion.
Appl. Intell., 2021

2020
Subspace Distribution Adaptation Frameworks for Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Centralized joint sparse representation for multi-view subspace clustering.
J. Intell. Fuzzy Syst., 2020

2019
A Sequentially Truncated Higher Order Singular Value Decomposition-Based Algorithm for Tensor Completion.
IEEE Trans. Cybern., 2019

2018
A New 4-D Nonlocal Transform-Domain Filter for 3-D Magnetic Resonance Images Denoising.
IEEE Trans. Medical Imaging, 2018

Incremental sparse linear regression algorithms for face recognition.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

Incremental sparse linear regression algorithms for face recognition.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017
A subspace clustering algorithm based on simultaneously sparse and low-rank representation.
J. Intell. Fuzzy Syst., 2017

2015
A Low-Rank Approximation-Based Transductive Support Tensor Machine for Semisupervised Classification.
IEEE Trans. Image Process., 2015

2012
Local learning integrating global structure for large scale semi-supervised classification.
Proceedings of the Eighth International Conference on Natural Computation, 2012

2009
Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009


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