Xiaolan Liu
Orcid: 0000-0003-0560-472XAffiliations:
- 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:
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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
IEEE Trans. Neural Networks Learn. Syst., 2020
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
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018
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