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 18 papers
between 2013 and 2024.
Collaborative distances:
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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
A Discriminative and Robust Feature Learning Approach for EEG-Based Motor Imagery Decoding (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 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
2014
Exponential stability for stochastic Cohen-Grossberg BAM neural networks with discrete and distributed time-varying delays.
Neurocomputing, 2014
Global asymptotic stability of Markovian jumping stochastic Cohen-Grossberg BAM neural networks with discrete and distributed time-varying delays.
Appl. Math. Comput., 2014
2013
Appl. Math. Comput., 2013