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 14 papers between 2009 and 2024.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

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

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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