Xiaoliang Gong

Orcid: 0009-0004-6007-2222

According to our database1, Xiaoliang Gong authored at least 23 papers between 2016 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Alzheimer's Disease Early Diagnosis Based on Resting-State Dynamic Functional Connectivity.
Proceedings of the 12th International Conference on Software and Computer Applications, 2023

A Music Labeling Model Based on Traditional Chinese Music Characteristics for Emotional Regulation.
Proceedings of the 12th International Conference on Software and Computer Applications, 2023

An Assurance Case Practice of AI-Enabled Systems on Maritime Inspection.
Proceedings of the Artificial Intelligence Security and Privacy, 2023

2022
Conditional Domain Adaptation Based on Initial Distribution Discrepancy for EEG Emotion Recognition.
Proceedings of the Clinical Image-Based Procedures - 11th Workshop, 2022

2021
The mutuality of social emotions: How the victim's reactive attitude influences the transgressor's emotional responses.
NeuroImage, 2021

Emotion Regulation Music Recommendation Based on Feature Selection.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2021

Bayesian Graph Neural Networks for EEG-Based Emotion Recognition.
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021

2020
Image Segmentation Using an Active Contour Model Based on the Difference Between Local Intensity Averages and Actual Image Intensities.
IEEE Access, 2020

Classification of EEG signals during Working- Memory Maintenance based on Phase Space Reconstruction of Empirical Mode Decomposition.
Proceedings of the 13th International Congress on Image and Signal Processing, 2020

Spatial Pattern of Electroencephalography (EEG) Extracted by Nonlinear Features during Working Memory Maintenance.
Proceedings of the 13th International Congress on Image and Signal Processing, 2020

2019
Hierarchical Feature Extraction for Early Alzheimer's Disease Diagnosis.
IEEE Access, 2019

Identify of Spatial Similarity of Electroencephalography (EEG) during Working-Memory Maintenance.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Short time Fourier transformation and deep neural networks for motor imagery brain computer interface recognition.
Concurr. Comput. Pract. Exp., 2018

Active Contour Model Based on Local Intensity Fitting Energy for Image Segmentation and Bias Estimation.
IEEE Access, 2018

Auto-Detection of Alzheimer's Disease Using Deep Convolutional Neural Networks.
Proceedings of the 14th International Conference on Natural Computation, 2018

Exploring the Neural Pattern in EEG Records of Material-specific Memory Maintenance by Deep Learning.
Proceedings of the 14th International Conference on Natural Computation, 2018

2017
Deep convolutional neural network for decoding motor imagery based brain computer interface.
Proceedings of the 2017 IEEE International Conference on Signal Processing, 2017

Subject dependent feature extraction method for motor imagery based BCI using multivariate empirical mode decomposition.
Proceedings of the 2017 IEEE International Conference on Signal Processing, 2017

Optimal channel set selection for SSVEP-based BCI using spatial temporal correlation.
Proceedings of the 13th International Conference on Natural Computation, 2017

Threshold algorithm for pancreas segmentation in Dixon water magnetic resonance images.
Proceedings of the 13th International Conference on Natural Computation, 2017

Detection of IAD based on personality questionnaires of Chinese college students and SVMs.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
EEG Classification for Hybrid Brain-Computer Interface Using a Tensor Based Multiclass Multimodal Analysis Scheme.
Comput. Intell. Neurosci., 2016

A prediction based on clustering and personality questionnaire data for IGD risk: A preliminary work.
Proceedings of the 12th International Conference on Natural Computation, 2016


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