Songyao Zhang

Orcid: 0000-0002-5406-3643

Affiliations:
  • 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 18 papers between 2016 and 2023.

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Timeline

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Bibliography

2023
Genetic Influence on Gyral Peaks.
NeuroImage, October, 2023

Review of Large Vision Models and Visual Prompt Engineering.
CoRR, 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

FMRI-Guided Time-Symmetric Joint Model for Visual Attention Prediction.
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

A Machine Learning Approach for Uncovering N6-methyladenosine-Disease Association.
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


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