Shoulin Huang

Orcid: 0000-0002-2195-7878

According to our database1, Shoulin Huang authored at least 12 papers between 2019 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
MPNet: A Robust and Efficient Manifold Pooling Network for Multi-Rhythm EEG Signal Decoding.
CoRR, May, 2026

State-Flow Coordinated Representation for MI-EEG Decoding.
CoRR, April, 2026

Deep Reinforcement Learning-Based Joint Resource Allocation and Trajectory Design for UAV-Assisted Multi-Cell ISAC Systems.
IEEE Trans. Netw. Sci. Eng., 2026

2025
Deep Reinforcement Learning-Based Resource Allocation for UAV-GAP Downlink Cooperative NOMA in IIoT Systems.
Entropy, 2025

A Three-Dimensional Complex Covariance Tensor Network for Enhanced Motor Imagery EEG Decoding.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

2024
Manifold Learning-Based Common Spatial Pattern for EEG Signal Classification.
IEEE J. Biomed. Health Informatics, April, 2024

2021
Amplitude-Phase Information Measurement on Riemannian Manifold for Motor Imagery-Based BCI.
IEEE Signal Process. Lett., 2021

DW-FBCSP: EEG emotion recognition algorithm based on scale distance weighted optimization.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Spectrum-Weighted Tensor Discriminant Analysis for Motor Imagery-Based BCI.
IEEE Access, 2020

Analysis and Classification of Sleep Stages Based on Common Frequency Pattern From a Single-Channel EEG Signal.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Validation of Pulse Transit Time Based Blood Pressure Estimation on Atrial Fibrillation Patients.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Tensor Discriminant Analysis for MI-EEG Signal Classification Using Convolutional Neural Network.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019


  Loading...