Weisen Feng

Orcid: 0009-0009-5190-0862

According to our database1, Weisen Feng authored at least 11 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Enhanced detection of disorders of consciousness via multi-scale convolutional feature adaptive weighting fusion network and EEG functional connectivity analysis.
Biomed. Signal Process. Control., 2026

2025
Mutual Information Learning-Based End-to-End Fusion Network for Hybrid EEG-fNIRS Brain-Computer Interface.
IEEE Trans. Instrum. Meas., 2025

HARFormer: A Masked Self-Supervised Transformer-Based Model for Human Activity Recognition With Predicting Somatosensory Tokens.
IEEE Trans. Instrum. Meas., 2025

MTADA: A Multi-Task Adversarial Domain Adaptation Network for EEG-Based Cross-Subject Emotion Recognition.
IEEE Trans. Affect. Comput., 2025

2024
A Novel EEG-Based Parkinson's Disease Detection Model Using Multiscale Convolutional Prototype Networks.
IEEE Trans. Instrum. Meas., 2024

SFT-SGAT: A semi-supervised fine-tuning self-supervised graph attention network for emotion recognition and consciousness detection.
Neural Networks, 2024

Cross-subject EEG Emotion Recognition based on Multitask Adversarial Domain Adaption.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

EFMLNet: Fusion Model Based on End-to-End Mutual Information Learning for Hybrid EEG-fNIRS Brain-Computer Interface Applications.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

MC-FAW: A Multi-Scale Convolutional Feature Adaptive Weighting Fusion Network for Detecting Disorders of Consciousness.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2021
Determining the Rumour Stance with Ensemble Method Based on BSAF Model.
Proceedings of the CSSE 2021: 2021 4th International Conference on Computer Science and Software Engineering, Singapore, October 22, 2021

Multi-interest sequence recommendation algorithm based on BERT.
Proceedings of the CSSE 2021: 2021 4th International Conference on Computer Science and Software Engineering, Singapore, October 22, 2021


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