Ning Yu

Orcid: 0000-0002-1385-6882

Affiliations:
  • State University of New York, Brockport, NY, USA
  • University of South Carolina Upstate, Department of Informatics, Spartanburg, SC, USA (former)
  • Georgia State University, Atlanta, GA, USA (former)


According to our database1, Ning Yu authored at least 29 papers between 2014 and 2024.

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Bibliography

2024
Multi-Network Graph Contrastive Learning for Cancer Driver Gene Identification.
IEEE Trans. Netw. Sci. Eng., 2024

LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

2023
Identifying cancer driver genes based on multi-view heterogeneous graph convolutional network and self-attention mechanism.
BMC Bioinform., December, 2023

Improving drug response prediction based on two-space graph convolution.
Comput. Biol. Medicine, May, 2023

A multi-view comparative learning method for spatial transcriptomics data clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions.
Bioinform., 2022

2021
A comprehensive survey on computational methods of non-coding RNA and disease association prediction.
Briefings Bioinform., 2021

2020
Applying big data based deep learning system to intrusion detection.
Big Data Min. Anal., 2020

Handling the Missing Data Problem in Electronic Health Records for Cancer Prediction.
Proceedings of the Spring Simulation Conference, 2020

AI-Powered GUI Attack and Its Defensive Methods.
Proceedings of the 2020 ACM Southeast Conference, 2020

A Reservoir Computing Scheme for Multi-class Classification.
Proceedings of the 2020 ACM Southeast Conference, 2020

2019
Reconstruction of Hidden Representation for Robust Feature Extraction.
ACM Trans. Intell. Syst. Technol., 2019

Three-Stream Convolutional Networks for Video-based Person Re-Identification.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

2018
Convolutional networks with cross-layer neurons for image recognition.
Inf. Sci., 2018

Survey on encoding schemes for genomic data representation and feature learning - from signal processing to machine learning.
Big Data Min. Anal., 2018

2017
Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches.
J. Inf. Process. Syst., 2017

Three-Stream Convolutional Networks for Video-based Person Re-Identification.
CoRR, 2017

A deep learning method for lincRNA detection using auto-encoder algorithm.
BMC Bioinform., 2017

Evaluating the Impact of Encoding Schemes on Deep Auto-Encoders for DNA Annotation.
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

2016
J2M: a Java to MapReduce translator for cloud computing.
J. Supercomput., 2016

A Comprehensive Review of Emerging Computational Methods for Gene Identification.
J. Inf. Process. Syst., 2016

A deep learning method for lincRNA identification using auto-encoder algorithm.
Proceedings of the 6th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2016

A Novel Deep Learning Network Architecture with Cross-Layer Neurons.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

A Cloud-Assisted Application over Apache Spark for Investigating Epigenetic Markers on DNA Genome Sequences.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

2015
DIME: A Novel Framework for <i>De Novo</i> Metagenomic Sequence Assembly.
J. Comput. Biol., 2015

A fine-grained flow control model for cloud-assisted data broadcasting.
Proceedings of the 18th Symposium on Communications & Networking, 2015

DNA AS X: An Information-Coding-Based Model to Improve the Sensitivity in Comparative Gene Analysis.
Proceedings of the Bioinformatics Research and Applications - 11th International Symposium, 2015

GaussianCpG: A Gaussian model for detection of human CpG island.
Proceedings of the 5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2015

2014
Cloud computing for detecting high-order genome-wide epistatic interaction via dynamic clustering.
BMC Bioinform., 2014


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