Shengbing Pei

Orcid: 0000-0002-7629-7459

According to our database1, Shengbing Pei authored at least 14 papers between 2018 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
BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Functional Connectivity Network Augmentation With Patch-Entirety Self-Attention GAN for ADHD Identification.
IEEE Trans. Instrum. Meas., 2025

MGBF: Multi-GNNs Bridge Framework for Brain Diseases Classification via Information Sharing and Denoising.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Community-Aware Graph Transformer for Brain Disorder Identification.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Transformer Based Multi-view Learning for Integrating Static and Dynamic Complementarity of Brain Function.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Self-supervised fMRI Outlier Detection via Graph Reachability Modeling.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
Region of Interest Analysis Using Delaunay Triangulation for Facial Video-Based Heart Rate Estimation.
IEEE Trans. Instrum. Meas., 2024

IDTL-rPPG: Remote heart rate estimation using instance-based deep transfer learning.
Biomed. Signal Process. Control., 2024

DBPNet: Dual-Branch Parallel Network with Temporal-Frequency Fusion for Auditory Attention Detection.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Integrating Low-order and High-order Functional Connectivity for Meta-stable State Transition based Brain Disorder Identification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Data Augmentation for fMRI-Based Functional Connectivity and its Application to Cross-Site ADHD Classification.
IEEE Trans. Instrum. Meas., 2023

Learning Meta-Stable State Transition Representation of Brain Function for ADHD Identification.
IEEE Trans. Instrum. Meas., 2023

2022
Csenet: Complex Squeeze-and-Excitation Network for Speech Depression Level Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2022

2018
Classifying early and late mild cognitive impairment stages of Alzheimer's disease by fusing default mode networks extracted with multiple seeds.
BMC Bioinform., 2018


  Loading...