Jiayang Guo

Orcid: 0000-0002-5821-4277

According to our database1, Jiayang Guo authored at least 17 papers between 2015 and 2025.

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

Timeline

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Links

On csauthors.net:

Bibliography

2025
Acupuncture State Detection at Zusanli (ST-36) Based on Scalp EEG and Transformer.
IEEE J. Biomed. Health Informatics, June, 2025

REI-Net: A Reference Electrode Standardization Interpolation Technique Based 3D CNN for Motor Imagery Classification.
IEEE J. Biomed. Health Informatics, March, 2025

Graph pooling for graph-level representation learning: a survey.
Artif. Intell. Rev., February, 2025

Exact Fit Attention in Node-Holistic Graph Convolutional Network for Improved EEG-Based Driver Fatigue Detection.
CoRR, January, 2025

Chrombus-XMBD: a graph convolution model predicting 3D-genome from chromatin features.
Briefings Bioinform., 2025

MSSTDCN: A Multi-Scale Spatiotemporal Deep Convolutional Network Based on Power Spectral Density for Cross-Subject Epileptic Seizure Detection.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024
Automatic Multi-label Classification of Interictal Epileptiform Discharges (IED) Detection Based on Scalp EEG and Transformer.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

EEG Epileptic Seizure Detection Based on Fused Brain Functional Networks.
Proceedings of the Applied Intelligence - Second International Conference, 2024

2023
Editorial: Brain-computer interface and its applications.
Frontiers Neurorobotics, June, 2023

LearnedSync: A Learning-Based Sync Optimization for Cloud Storage.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy.
Frontiers Neuroinformatics, 2022

2020
Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data.
Complex., 2020

A Novel MEGNet for Classification of High-Frequency Oscillations in Magnetoencephalography of Epileptic Patients.
Complex., 2020

2018
A Stacked Sparse Autoencoder-Based Detector for Automatic Identification of Neuromagnetic High Frequency Oscillations in Epilepsy.
IEEE Trans. Medical Imaging, 2018

2017
Parallelism and Garbage Collection Aware I/O Scheduler with Improved SSD Performance.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2015
SBIOS: An SSD-based Block I/O Scheduler with improved system performance.
Proceedings of the 10th IEEE International Conference on Networking, 2015

Enhancing I/O Scheduler Performance by Exploiting Internal Parallelism of SSDs.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015


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