Wei Peng

Orcid: 0000-0002-9572-951X

Affiliations:

Kunming University of Science and Technology, China
Central South University, School of Information Science and Engineering, Changsha, China (PhD 2013)

According to our database¹, Wei Peng authored at least 40 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration.

[BibT_eX]

[DOI]

Health Inf. Sci. Syst., December, 2024

2023

Identifying cancer driver genes based on multi-view heterogeneous graph convolutional network and self-attention mechanism.

[BibT_eX]

[DOI]

BMC Bioinform., December, 2023

Feature Representation for High-resolution Clothed Human Reconstruction.

[BibT_eX]

[DOI]

Comput. Graph. Forum, September, 2023

Crowded pose-guided multi-task learning for instance-level human parsing.

[BibT_eX]

[DOI]

Mach. Vis. Appl., May, 2023

Improving drug response prediction based on two-space graph convolution.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, May, 2023

RA-DENet: Reverse Attention and Distractions Elimination Network for polyp segmentation.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, March, 2023

Multi-View Feature Aggregation for Predicting Microbe-Disease Association.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

A multi-view comparative learning method for spatial transcriptomics data clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Predicting Drug Response Based on Multi-Omics Fusion and Graph Convolution.

[BibT_eX]

[DOI]

Wei Peng

Tielin Chen

Wei Dai

IEEE J. Biomed. Health Informatics, 2022

Identifying Cancer Patient Subgroups by Finding Co-Modules From the Driver Mutation Profiles and Downstream Gene Expression Profiles.

[BibT_eX]

[DOI]

Junrong Song

Wei Peng

Feng Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

GANLDA: Graph attention network for lncRNA-disease associations prediction.

[BibT_eX]

[DOI]

Neurocomputing, 2022

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

[BibT_eX]

[DOI]

Bioinform., 2022

Improving cancer driver gene identification using multi-task learning on graph convolutional network.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

Collusion Attack Analysis and Detection of DPoS Consensus Mechanism.

[BibT_eX]

[DOI]

Proceedings of the Blockchain and Trustworthy Systems - 4th International Conference, 2022

Identification of personalized driver genes for individuals using graph convolution network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

A Novel Multi-Ensemble Method for Identifying Essential Proteins.

[BibT_eX]

[DOI]

J. Comput. Biol., 2021

Prediction of circRNA-miRNA Associations Based on Network Embedding.

[BibT_eX]

[DOI]

Complex., 2021

A novel essential protein identification method based on PPI networks and gene expression data.

[BibT_eX]

[DOI]

BMC Bioinform., 2021

Proteoform characterization based on top-down mass spectrometry.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

A Heterogeneous Graph Convolutional Network-Based Deep Learning Model to Identify miRNA-Disease Association.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

2020

An Entropy-Based Method for Identifying Mutual Exclusive Driver Genes in Cancer.

[BibT_eX]

[DOI]

Junrong Song

Wei Peng

Feng Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Predicting protein functions by using non-negative matrix factorisation with multi-networks co-regularisation.

[BibT_eX]

[DOI]

Int. J. Data Min. Bioinform., 2020

Inferring LncRNA-disease associations based on graph autoencoder matrix completion.

[BibT_eX]

[DOI]

Comput. Biol. Chem., 2020

A multi-view approach for predicting microbedisease associations by fusing the linear and nonlinear features.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph.

[BibT_eX]

[DOI]

Junrong Song

Wei Peng

Feng Wang

BMC Bioinform., 2019

Improving Identification of Essential Proteins by a Novel Ensemble Method.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics Research and Applications - 15th International Symposium, 2019

Identifying Human Essential Genes by Network Embedding Protein-Protein Interaction Network.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics Research and Applications - 15th International Symposium, 2019

Predicting protein functions through non-negative matrix factorization regularized by protein-protein interaction network and gene functional information.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2017

Predicting Protein Functions by Using Unbalanced Random Walk Algorithm on Three Biological Networks.

[BibT_eX]

[DOI]