Shuo Huang

Orcid: 0000-0002-3267-1816

Affiliations:
  • Nanjing Forestry University, Nanjing, China


According to our database1, Shuo Huang authored at least 12 papers between 2020 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2025
Identifying Longitudinal Intermediate Phenotypes Between Genotypes and Clinical Score via Exclusive Relationship-Induced Association Analysis in Alzheimer's Disease.
IEEE Trans. Cogn. Dev. Syst., April, 2025

TAHAG: Two-Stage Domain Adaptation With Hybrid Adaptive Graph Learning for EEG Emotion Recognition.
IEEE Trans. Affect. Comput., 2025

2023
Optimal transport based pyramid graph kernel for autism spectrum disorder diagnosis.
Pattern Recognit., November, 2023

Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer's Disease diagnosis.
Medical Image Anal., October, 2023

2022
Cognitive Workload Recognition Using EEG Signals and Machine Learning: A Review.
IEEE Trans. Cogn. Dev. Syst., 2022

Temporal Information-Guided Generative Adversarial Networks for Stimuli Image Reconstruction From Human Brain Activities.
IEEE Trans. Cogn. Dev. Syst., 2022

Residual-atrous attention network for lumbosacral plexus segmentation with MR image.
Comput. Medical Imaging Graph., 2022

Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis.
Bioinform., 2022

S2Snet: deep learning for low molecular weight RNA identification with nanopore.
Briefings Bioinform., 2022

2021
fMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review.
Int. J. Autom. Comput., 2021

Deep Self-Reconstruction Sparse Canonical Correlation Analysis For Brain Imaging Genetics.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020


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