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Yuxuan Yang

Orcid: 0000-0002-1130-7062

Affiliations:
  • Southwestern University of Finance and Economics, School of Computing and Artificial Intelligence, Chengdu, China
  • Tianjin University, School of Electrical and Information Engineering, Tianjin, China


According to our database1, Yuxuan Yang authored at least 13 papers between 2016 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
A Complex Network-Based Broad Learning System for Detecting Driver Fatigue From EEG Signals.
[BibTeX]
[DOI]
Yuxuan Yang
,
Zhongke Gao
,
Yanli Li
,
Qing Cai
,
Norbert Marwan
,
Jürgen Kurths
IEEE Trans. Syst. Man Cybern. Syst., 2021

A Channel-Fused Dense Convolutional Network for EEG-Based Emotion Recognition.
[BibTeX]
[DOI]
Zhongke Gao
,
Xinmin Wang
,
Yuxuan Yang
,
Yanli Li
,
Kai Ma
,
Guanrong Chen
IEEE Trans. Cogn. Dev. Syst., 2021

2020
A Coincidence-Filtering-Based Approach for CNNs in EEG-Based Recognition.
[BibTeX]
[DOI]
Zhongke Gao
,
Yanli Li
,
Yuxuan Yang
,
Na Dong
,
Xiong Yang
,
Celso Grebogi
IEEE Trans. Ind. Informatics, 2020

A GPSO-optimized convolutional neural networks for EEG-based emotion recognition.
[BibTeX]
[DOI]
Zhongke Gao
,
Yanli Li
,
Yuxuan Yang
,
Xinmin Wang
,
Na Dong
,
Hsiao-Dong Chiang
Neurocomputing, 2020

A Multivariate Weighted Ordinal Pattern Transition Network for Characterizing Driver Fatigue Behavior from EEG Signals.
[BibTeX]
[DOI]
Yuxuan Yang
,
Zhongke Gao
Int. J. Bifurc. Chaos, 2020

2019
EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue Evaluation.
[BibTeX]
[DOI]
Zhongke Gao
,
Xinmin Wang
,
Yuxuan Yang
,
Chaoxu Mu
,
Qing Cai
,
Wei-Dong Dang
,
Siyang Zuo
IEEE Trans. Neural Networks Learn. Syst., 2019

Relative Wavelet Entropy Complex Network for Improving EEG-Based Fatigue Driving Classification.
[BibTeX]
[DOI]
Zhongke Gao
,
Shan Li
,
Qing Cai
,
Wei-Dong Dang
,
Yuxuan Yang
,
Chaoxu Mu
,
Pan Hui
IEEE Trans. Instrum. Meas., 2019

Multiplex Limited Penetrable Horizontal Visibility Graph from EEG Signals for Driver Fatigue Detection.
[BibTeX]
[DOI]
Qing Cai
,
Zhongke Gao
,
Yuxuan Yang
,
Wei-Dong Dang
,
Celso Grebogi
Int. J. Neural Syst., 2019

2018
A Novel Multiplex Network-Based Sensor Information Fusion Model and Its Application to Industrial Multiphase Flow System.
[BibTeX]
[DOI]
Zhongke Gao
,
Wei-Dong Dang
,
Chaoxu Mu
,
Yuxuan Yang
,
Shan Li
,
Celso Grebogi
IEEE Trans. Ind. Informatics, 2018

An adaptive optimal-Kernel time-frequency representation-based complex network method for characterizing fatigued behavior using the SSVEP-based BCI system.
[BibTeX]
[DOI]
Zhongke Gao
,
Kaili Zhang
,
Wei-Dong Dang
,
Yuxuan Yang
,
Zibo Wang
,
Haibin Duan
,
Guanrong Chen
Knowl. Based Syst., 2018

2017
Visibility Graph from Adaptive Optimal Kernel Time-Frequency Representation for Classification of Epileptiform EEG.
[BibTeX]
[DOI]
Zhongke Gao
,
Qing Cai
,
Yuxuan Yang
,
Na Dong
,
Shan-Shan Zhang
Int. J. Neural Syst., 2017

Wavelet Multiresolution Complex Network for Analyzing Multivariate Nonlinear Time Series.
[BibTeX]
[DOI]
Zhongke Gao
,
Shan Li
,
Wei-Dong Dang
,
Yuxuan Yang
,
Younghae Do
,
Celso Grebogi
Int. J. Bifurc. Chaos, 2017

2016
A Four-Sector Conductance Method for Measuring and Characterizing Low-Velocity Oil-Water Two-Phase Flows.
[BibTeX]
[DOI]
Zhongke Gao
,
Yuxuan Yang
,
Lusheng Zhai
,
Ningde Jin
,
Guanrong Chen
IEEE Trans. Instrum. Meas., 2016


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