Chengcheng Hua

Orcid: 0000-0002-1628-5536

According to our database1, Chengcheng Hua authored at least 18 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A Built-in Causal Model for VR Motion Sickness based on GCN.
Expert Syst. Appl., 2026

A novel correlation-driven cross-term compression polynomial network for classifying motion sickness levels.
Eng. Appl. Artif. Intell., 2026

Residual multi-dimensional Taylor network for epileptic electroencephalography detection.
Eng. Appl. Artif. Intell., 2026

Interpretable Graph Neural Network for identifying neural subgraphs associated with VR motion sickness training: An electroencephalography study.
Eng. Appl. Artif. Intell., 2026

A dual of evaluation and dynamic search mechanism for feature optimization in EEG motor imagery decoding.
Biomed. Signal Process. Control., 2026

2025
EEG-based virtual reality motion sickness detection model with lead embedding and Siamese network.
Signal Image Video Process., December, 2025

A convolutional transformer network with adaptation learning modules for enhancing motor imagery classification.
Expert Syst. Appl., 2025

A comprehensive exploration of motion sickness process analysis from EEG signal and virtual reality.
Comput. Methods Programs Biomed., 2025

2024
EEG emotion recognition using EEG-SWTNS neural network through EEG spectral image.
Inf. Sci., 2024

EEG classification model for virtual reality motion sickness based on multi-scale CNN feature correlation.
Comput. Methods Programs Biomed., 2024

WKLD-Based Feature Extraction for Diagnosis of Epilepsy Based on EEG.
IEEE Access, 2024

2023
VR Vertigo Level Classification Using a Multi-Dimensional Taylor Network Approach.
IEEE Access, 2023

The effect of additional shooting task on alleviating virtual reality motion sickness.
Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering, 2023

2019
Novel functional brain network methods based on CNN with an application in proficiency evaluation.
Neurocomputing, 2019

A Novel Method of Building Functional Brain Network Using Deep Learning Algorithm with Application in Proficiency Detection.
Int. J. Neural Syst., 2019

Training state and performance evaluation of working memory based on task-related EEG.
Biomed. Signal Process. Control., 2019

Comparison of different functional connectives based on EEG during concealed information test.
Biomed. Signal Process. Control., 2019

2018
Electroencephalography based fatigue detection using a novel feature fusion and extreme learning machine.
Cogn. Syst. Res., 2018


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