Le Han
Orcid: 0000-0003-3414-315X
According to our database1,
Le Han
authored at least 24 papers
between 2008 and 2024.
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Bibliography
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Susceptibility Analysis of Glacier Debris Flow Based on Remote Sensing Imagery and Deep Learning: A Case Study along the G318 Linzhi Section.
Sensors, July, 2023
Comput. Optim. Appl., March, 2023
Quantum Inf. Process., 2023
Appl. Math. Comput., 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
2022
Remote. Sens., 2022
2021
Proceedings of the Knowledge Science, Engineering and Management, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020
2019
A Sequentially Truncated Higher Order Singular Value Decomposition-Based Algorithm for Tensor Completion.
IEEE Trans. Cybern., 2019
IEEE Access, 2019
2018
A New 4-D Nonlocal Transform-Domain Filter for 3-D Magnetic Resonance Images Denoising.
IEEE Trans. Medical Imaging, 2018
Two-stage convex relaxation approach to low-rank and sparsity regularized least squares loss.
J. Glob. Optim., 2018
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018
2017
A subspace clustering algorithm based on simultaneously sparse and low-rank representation.
J. Intell. Fuzzy Syst., 2017
2016
Two-stage convex relaxation approach to least squares loss constrained low-rank plus sparsity optimization problems.
Comput. Optim. Appl., 2016
Multi-stage convex relaxation method for low-rank and sparse matrix separation problem.
Appl. Math. Comput., 2016
2015
A bilateral-truncated-loss based robust support vector machine for classification problems.
Soft Comput., 2015
2014
A GA-based feature selection and parameter optimization for linear support higher-order tensor machine.
Neurocomputing, 2014
2013
Nonsingularity of FB system and constraint nondegeneracy in semidefinite programming.
Numer. Algorithms, 2013
Approximation of rank function and its application to the nearest low-rank correlation matrix.
J. Glob. Optim., 2013
2008
Appl. Math. Comput., 2008