Songyao Zhang
Orcid: 0000-0002-5406-3643Affiliations:
- Northwestern Polytechnical University, Key Laboratory of Information Fusion Technology of Ministry of Education, School of Automation, Shaanxi, China
According to our database1,
Songyao Zhang
authored at least 20 papers
between 2016 and 2025.
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Bibliography
2025
Contrastive machine learning reveals species -shared and -specific brain functional architecture.
Medical Image Anal., 2025
2024
Fusing multi-scale functional connectivity patterns via Multi-Branch Vision Transformer (MB-ViT) for macaque brain age prediction.
Neural Networks, 2024
2023
A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder.
Proceedings of the Information Processing in Medical Imaging, 2023
Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Bridging Natruralistic Stimuli, Eye Movement And Brain Activity Via Cca And Locality Preserving Projection.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Funm6AViewer: a web server and R package for functional analysis of context-specific m6A RNA methylation.
Bioinform., November, 2021
2020
Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
2019
Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods.
PLoS Comput. Biol., 2019
Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information.
BMC Bioinform., 2019
FunDMDeep-m6A: identification and prioritization of functional differential m6A methylation genes.
Bioinform., 2019
2018
MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome.
Nucleic Acids Res., 2018
GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization.
CoRR, 2018
Predicting drug response of tumors from integrated genomic profiles by deep neural networks.
CoRR, 2018
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
2016
m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks.
PLoS Comput. Biol., 2016