Wei Peng

According to our database, Wei Peng authored at least 54 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Predicting Clinical Anticancer Drug Response of Patients by Using Domain Alignment and Prototypical Learning.

Wei Peng, Chuyue Chen, Wei Dai, Ning Yu, Jianxin Wang

IEEE J. Biomed. Health Informatics, February, 2025

Fusion of brain imaging genetic data for alzheimer's disease diagnosis and causal factors identification using multi-stream attention mechanisms and graph convolutional networks.

Wei Peng, Yanhan Ma, Chunshan Li, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Jin Liu

Neural Networks, 2025

Multi-domains personalized local differential privacy frequency estimation mechanism for utility optimization.

Yunfei Li, Xiaodong Fu, Li Liu, Jiaman Ding, Wei Peng, Lianyin Jia

Comput. Secur., 2025

2024

Identification of cancer driver genes based on hierarchical weak consensus model.

Gaoshi Li, Zhipeng Hu, Xinlong Luo, Jiafei Liu, Jingli Wu, Wei Peng, Xiaoshu Zhu

Health Inf. Sci. Syst., December, 2024

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

Fangxu Chen, Wei Peng, Wei Dai, Shoulin Wei, Xiaodong Fu, Li Liu, Lijun Liu

Health Inf. Sci. Syst., December, 2024

Multi-Network Graph Contrastive Learning for Cancer Driver Gene Identification.

Wei Peng, Zhengnan Zhou, Wei Dai, Ning Yu, Jianxin Wang

IEEE Trans. Netw. Sci. Eng., 2024

Identification of Cancer Driver Genes based on Dynamic Incentive Model.

Zhipeng Hu, Gaoshi Li, Xinlong Luo, Wei Peng, Jiafei Liu, Xiaoshu Zhu, Jingli Wu

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Transformer-based Single-Cell Language Model: A Survey.

Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng

CoRR, 2024

DGCL: A Contrastive Learning Method for Predicting Cancer Driver Genes Based on Graph Diffusion.

Wei Peng, Zhengnan Zhou, Wei Dai, Xinping Xu, Xiaodong Fu, Li Liu, Lijun Liu

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Hypergraph Representation Learning for Cancer Drug Response Prediction.

Wei Peng, Jiangzhen Lin, Wei Dai, Gong Chen, Xiaodong Fu, Li Liu, Lijun Liu

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Patient Anticancer Drug Response Prediction Based on Single-Cell Deconvolution.

Wei Peng, Chuyue Chen, Wei Dai

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Sparse Attention-based Hierarchical Node Representation for Spatial Domain Identification.

Wei Peng, Zhihao Ping, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Essential proteins discovery based on dominance relationship and neighborhood similarity centrality.

Gaoshi Li, Xinlong Luo, Zhipeng Hu, Jingli Wu, Wei Peng, Jiafei Liu, Xiaoshu Zhu

Health Inf. Sci. Syst., December, 2023

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

Wei Peng, Rong Wu, Wei Dai, Ning Yu

BMC Bioinform., December, 2023

Feature Representation for High-resolution Clothed Human Reconstruction.

Juncheng Pu, Li Liu, Xiaodong Fu, Zhuo Su, Lijun Liu, Wei Peng

Comput. Graph. Forum, September, 2023

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

Yong Wei, Li Liu, Xiaodong Fu, Lijun Liu, Wei Peng

Mach. Vis. Appl., May, 2023

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

Wei Peng, Tielin Chen, Hancheng Liu, Wei Dai, Ning Yu, Wei Lan

Comput. Biol. Medicine, May, 2023

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

Kaiqi Wang, Li Liu, Xiaodong Fu, Lijun Liu, Wei Peng

Comput. Biol. Medicine, March, 2023

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

Wei Peng, Ming Liu, Wei Dai, Tielin Chen, Yu Fu, Yi Pan

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

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

Wei Peng, Zicheng Che, Wei Dai, Shoulin Wei, Wei Lan

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

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

Wei Peng, Zhihao Zhang, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu

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

Essential proteins identification based on weak consensus model and neighborhood aggregation centrality.

Zhipeng Hu, Gaoshi Li, Jingli Wu, Xinlong Luo, Jiafei Liu, Wei Peng, Xiaoshu Zhu

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

2022

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

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.

Junrong Song, Wei Peng, Feng Wang

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

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

Wei Lan, Ximin Wu, Qingfeng Chen, Wei Peng, Jianxin Wang, Yi-Ping Phoebe Chen

Neurocomputing, 2022

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

Wei Peng, Hancheng Liu, Wei Dai, Ning Yu, Jianxin Wang

Bioinform., 2022

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

Wei Peng, Qi Tang, Wei Dai, Tielin Chen

Briefings Bioinform., 2022

Collusion Attack Analysis and Detection of DPoS Consensus Mechanism.

Xinxin Qi, Xiaodong Fu, Fei Dai, Li Liu, Lijun Liu, Jiaman Ding, Wei Peng

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

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

Wei Peng, Piaofang Yu, Wei Dai, Xiaodong Fu, Li Liu, Yi Pan

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

2021

A Novel Multi-Ensemble Method for Identifying Essential Proteins.

Wei Dai, Bingxi Chen, Wei Peng, Xia Li, Jiancheng Zhong, Jianxin Wang

J. Comput. Biol., 2021

Prediction of circRNA-miRNA Associations Based on Network Embedding.

Wei Lan, Mingrui Zhu, Qingfeng Chen, Jianwei Chen, Jin Ye, Jin Liu, Wei Peng, Shirui Pan

Complex., 2021

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

Jiancheng Zhong, Chao Tang, Wei Peng, Minzhu Xie, Yusui Sun, Qiang Tang, Qiu Xiao, Jiahong Yang

BMC Bioinform., 2021

Proteoform characterization based on top-down mass spectrometry.

Jiancheng Zhong, Yusui Sun, Minzhu Xie, Wei Peng, Chushu Zhang, Fang-Xiang Wu, Jianxin Wang

Briefings Bioinform., 2021

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

Zicheng Che, Wei Peng, Wei Dai, Shoulin Wei, Wei Lan

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

2020

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

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.

Wei Peng, Jielin Du, Lun Li, Wei Dai, Wei Lan

Int. J. Data Min. Bioinform., 2020

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

Ximin Wu, Wei Lan, Qingfeng Chen, Yi Dong, Jin Liu, Wei Peng

Comput. Biol. Chem., 2020

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

Ming Liu, Wei Dai, Wei Peng, Yu Fu, Yi Pan

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.

Junrong Song, Wei Peng, Feng Wang

BMC Bioinform., 2019

Improving Identification of Essential Proteins by a Novel Ensemble Method.

Wei Dai, Xia Li, Wei Peng, Jurong Song, Jiancheng Zhong, Jianxin Wang

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

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

Wei Dai, Qi Chang, Wei Peng, Jiancheng Zhong, Yongjiang Li

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.

Wei Peng, Lun Li, Wei Dai, Jielin Du, Wei Lan

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.

Wei Peng, Min Li, Lu Chen, Lusheng Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Iteration method for detecting disease genes in terms of the integration of the cellular compartment information with the protein-protein interaction data.

Xiwei Tang, Wei Peng, Minzhu Xie

Int. J. Data Min. Bioinform., 2017

Protein-protein interactions: detection, reliability assessment and applications.

Xiaoqing Peng, Jianxin Wang, Wei Peng, Fang-Xiang Wu, Yi Pan

Briefings Bioinform., 2017

2016

Predicting MicroRNA-Disease Associations by Random Walking on Multiple Networks.

Wei Peng, Wei Lan, Zeng Yu, Jianxin Wang, Yi Pan

Proceedings of the Bioinformatics Research and Applications - 12th International Symposium, 2016

Predicting microRNA-disease associations by walking on four biological networks.

Wei Peng, Wei Lan, Jianxin Wang, Yi Pan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Identification of Protein Complexes Using Weighted PageRank-Nibble Algorithm and Core-Attachment Structure.

Wei Peng, Jianxin Wang, Bihai Zhao, Lusheng Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

UDoNC: An Algorithm for Identifying Essential Proteins Based on Protein Domains and Protein-Protein Interaction Networks.

Wei Peng, Jianxin Wang, Yingjiao Cheng, Yu Lu, Fang-Xiang Wu, Yi Pan

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Detecting conserved protein complexes using a dividing-and-matching algorithm and unequally lenient criteria for network comparison.

Wei Peng, Jianxin Wang, Fang-Xiang Wu, Yi Pan

Algorithms Mol. Biol., 2015

2014

Improving protein function prediction using domain and protein complexes in PPI networks.

Wei Peng, Jianxin Wang, Juan Cai, Lu Chen, Min Li, Fang-Xiang Wu

BMC Syst. Biol., 2014

2013

Identifying essential proteins based on protein domains in protein-protein interaction networks.

Jianxin Wang, Wei Peng, Yingjiao Chen, Yu Lu, Yi Pan

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

A dividing-and-matching algorithm to detect conserved protein complexes via local network alignment.

Wei Peng, Jianxin Wang, Fang-Xiang Wu

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks.

Wei Peng, Jianxin Wang, Weiping Wang, Qing Liu, Fang-Xiang Wu, Yi Pan

BMC Syst. Biol., 2012