Nan Zhou
Orcid: 0000-0002-0434-6231Affiliations:
- Chengdu University of Information Technology, College of Control Engineering, China
- University of Electronic Science and Technology of China, Center for Robotics, Chengdu, China (PhD)
According to our database1,
Nan Zhou
authored at least 14 papers
between 2015 and 2024.
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Bibliography
2024
Shallow Inception Domain Adaptation Network for EEG-Based Motor Imagery Classification.
IEEE Trans. Cogn. Dev. Syst., April, 2024
2023
Correntropy-Based Low-Rank Matrix Factorization With Constraint Graph Learning for Image Clustering.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Correntropy based model predictive controller with multi-constraints for robust path trajectory tracking of self-driving vehicle.
J. Frankl. Inst., July, 2023
Robust semi-supervised data representation and imputation by correntropy based constraint nonnegative matrix factorization.
Appl. Intell., May, 2023
Distributed optimization for consensus performance of delayed fractional-order double-integrator multi-agent systems.
Neurocomputing, 2023
Event-triggered consensus control based on maximum correntropy criterion for discrete-time multi-agent systems.
Neurocomputing, 2023
2022
Optimal Calculation Method of Mean Equivalent Diameter of Floc Particles Based on MCC.
Complex., 2022
2021
A new semi-supervised algorithm combined with MCICA optimizing SVM for motion imagination EEG classification.
Intell. Data Anal., 2021
2020
Maximum Correntropy Criterion-Based Robust Semisupervised Concept Factorization for Image Representation.
IEEE Trans. Neural Networks Learn. Syst., 2020
2019
Maximum Correntropy Criterion-Based Sparse Subspace Learning for Unsupervised Feature Selection.
IEEE Trans. Circuits Syst. Video Technol., 2019
Robust High-Order Manifold Constrained Sparse Principal Component Analysis for Image Representation.
IEEE Trans. Circuits Syst. Video Technol., 2019
2016
Global and local structure preserving sparse subspace learning: An iterative approach to unsupervised feature selection.
Pattern Recognit., 2016
2015
Local-Structure Adaptive Sparse Subspace Learning: An Iterative Approach to Unsupervised Feature Selection.
CoRR, 2015