Meiyan Xu

Orcid: 0000-0003-2838-9145

According to our database1, Meiyan Xu authored at least 18 papers between 2020 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
Review of electroencephalography and electromyography research in robotics: opportunities and challenges.
Vis. Comput. Ind. Biomed. Art, December, 2026

DLink: Distilling Layer-wise and Dominant Knowledge from EEG Foundation Models.
CoRR, April, 2026

Interictal Epileptiform Discharge Detection Using Dual-Domain Features and GAN.
IEEE J. Biomed. Health Informatics, March, 2026

FedPSAWA: Federated personalization with state aware weighting aggregation for cross subject seizure prediction.
Neurocomputing, 2026

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

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

Sera: Separated Coarse-to-fine Representation Alignment for Cross-subject EEG-based Emotion Recognition.
Proceedings of the 33rd ACM International Conference on Multimedia, 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
Transformer-based network with temporal depthwise convolutions for sEMG recognition.
Pattern Recognit., January, 2024

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

2023
Inverse transformation sampling-based attentive cutout for fine-grained visual recognition.
Vis. Comput., July, 2023

A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification.
CoRR, 2023

A Multi-Scale Spatiotemporal Capsule Network for Epilepsy Seizure Detection.
Proceedings of the Applied Intelligence - First International Conference, 2023

A Domain Adaptation Deep Learning Network for EEG-Based Motor Imagery Classification.
Proceedings of the Applied Intelligence - First International Conference, 2023

2022
Multi-label causal feature selection based on neighbourhood mutual information.
Int. J. Mach. Learn. Cybern., 2022

2021
Multi-Rhythm Capsule Network Recognition Structure for Motor Imagery Classification.
J. Web Eng., 2021

2020
Learning EEG topographical representation for classification via convolutional neural network.
Pattern Recognit., 2020


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