Wei Dai

According to our database, Wei Dai authored at least 27 papers between 2019 and 2025.

Collaborative distances:

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

2025

Prediction of miRNA-disease association based on heterogeneous hypergraph convolution and heterogeneous graph multi-scale convolution.

Wei Dai, Sifan Pang, Zhichen He, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu

Health Inf. Sci. Syst., December, 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

A Survival Prediction Model Integrating Hierarchical Pathological Image and Pathway Features.

Xinyue Xu, Wei Peng, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu

Proceedings of the Bioinformatics Research and Applications - 21st International Symposium, 2025

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

A Study of Classroom Behavior Recognition Incorporating Super-Resolution and Target Detection.

Xiaoli Zhang, Jialei Nie, Shoulin Wei, Guifu Zhu, Wei Dai, Can Yang

Sensors, September, 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

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

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

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

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

2022

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

Wei Peng, Tielin Chen, Wei Dai

IEEE J. Biomed. Health Informatics, 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

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

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

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

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

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