Wei Dai - RankMe

34 papers Journal 21Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RFI detection based on semi-supervised learning with improved Unet. Astron. Comput. J. Li, Bo Liang, S. Feng, Wei Dai, Shoulin Wei
2025	—	`conf`	A Survival Prediction Model Integrating Hierarchical Pathological Image and Pathway Features. ISBRA (2) Xinyue Xu, Wei Peng, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu
2025	J	`jnl`	Deep learning-based McIntosh classification of sunspot groups. Astron. Comput. Xue Deng, Yunfei Yang, Xiaoli Zhang, Song Feng, Wei Dai, Bo Liang, Jianping Xiong
2025	J	`jnl`	Fusion of brain imaging genetic data for alzheimer's disease diagnosis and causal factors identification using multi-stream attention mechanisms and graph convolutional networks. Neural Networks Wei Peng, Yanhan Ma, Chunshan Li, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Jin Liu
2025	J	`jnl`	Hierarchical Graph Representation Learning With Multi-Granularity Features for Anti-Cancer Drug Response Prediction. IEEE J. Biomed. Health Informatics Wei Peng, Jiangzhen Lin, Wei Dai, Ning Yu, Jianxin Wang
2025	J	`jnl`	Predicting Anti-Cancer Drug Response Based on Hypergraph Representation Learning. IEEE Trans. Comput. Biol. Bioinform. Wei Peng, Xinyue Xu, Jiangzhen Lin, Gong Chen, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu
2025	J	`jnl`	Predicting Clinical Anticancer Drug Response of Patients by Using Domain Alignment and Prototypical Learning. IEEE J. Biomed. Health Informatics Wei Peng, Chuyue Chen, Wei Dai, Ning Yu, Jianxin Wang
2025	J	`jnl`	Prediction of miRNA-disease association based on heterogeneous hypergraph convolution and heterogeneous graph multi-scale convolution. Health Inf. Sci. Syst. Wei Dai, Sifan Pang, Zhichen He, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu
2025	—	`conf`	Tissue-Aware Prototype Learning Model for Predicting Anticancer Drug Response in Patients. BIBM Ling Lin, Wei Peng, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu
2024	J	`jnl`	A Study of Classroom Behavior Recognition Incorporating Super-Resolution and Target Detection. Sensors Xiaoli Zhang, Jialei Nie, Shoulin Wei, Guifu Zhu, Wei Dai, Can Yang
2024	—	`conf`	DGCL: A Contrastive Learning Method for Predicting Cancer Driver Genes Based on Graph Diffusion. ISBRA (2) Wei Peng, Zhengnan Zhou, Wei Dai, Xinping Xu, Xiaodong Fu, Li Liu, Lijun Liu
2024	—	`conf`	Hypergraph Representation Learning for Cancer Drug Response Prediction. ISBRA (2) Wei Peng, Jiangzhen Lin, Wei Dai, Gong Chen, Xiaodong Fu, Li Liu, Lijun Liu
2024	J	`jnl`	MHCLMDA: multihypergraph contrastive learning for miRNA-disease association prediction. Briefings Bioinform. Wei Peng, Zhichen He, Wei Dai, Wei Lan
2024	J	`jnl`	Multi-Network Graph Contrastive Learning for Cancer Driver Gene Identification. IEEE Trans. Netw. Sci. Eng. Wei Peng, Zhengnan Zhou, Wei Dai, Ning Yu, Jianxin Wang
2024	—	`conf`	Patient Anticancer Drug Response Prediction Based on Single-Cell Deconvolution. ISBRA (3) Wei Peng, Chuyue Chen, Wei Dai
2024	—	`conf`	Sparse Attention-based Hierarchical Node Representation for Spatial Domain Identification. BIBM Wei Peng, Zhihao Ping, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu
2024	J	`jnl`	Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration. Health Inf. Sci. Syst. Fangxu Chen, Wei Peng, Wei Dai, Shoulin Wei, Xiaodong Fu, Li Liu, Lijun Liu
2023	—	`conf`	A multi-view comparative learning method for spatial transcriptomics data clustering. BIBM Wei Peng, Zhihao Zhang, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu
2023	J	`jnl`	Identifying cancer driver genes based on multi-view heterogeneous graph convolutional network and self-attention mechanism. BMC Bioinform. Wei Peng, Rong Wu, Wei Dai, Ning Yu
2023	J	`jnl`	Improving drug response prediction based on two-space graph convolution. Comput. Biol. Medicine Wei Peng, Tielin Chen, Hancheng Liu, Wei Dai, Ning Yu, Wei Lan
2023	J	`jnl`	Multi-View Feature Aggregation for Predicting Microbe-Disease Association. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Peng, Ming Liu, Wei Dai, Tielin Chen, Yu Fu, Yi Pan
2023	J	`jnl`	Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Peng, Zicheng Che, Wei Dai, Shoulin Wei, Wei Lan
2022	J	`jnl`	An empirical evaluation on the applicability of the DALiuGE execution framework. Astron. Comput. Ying Mei, S. Wei, F. Wang, C. Wu, Rodrigo Tobar, M. Shaikh, Hui Deng, Wei Dai, Bo Liang, Andreas Wicenec
2022	—	`conf`	Identification of personalized driver genes for individuals using graph convolution network. BIBM Wei Peng, Piaofang Yu, Wei Dai, Xiaodong Fu, Li Liu, Yi Pan
2022	J	`jnl`	Improving cancer driver gene identification using multi-task learning on graph convolutional network. Briefings Bioinform. Wei Peng, Qi Tang, Wei Dai, Tielin Chen
2022	J	`jnl`	Predicting Drug Response Based on Multi-Omics Fusion and Graph Convolution. IEEE J. Biomed. Health Informatics Wei Peng, Tielin Chen, Wei Dai
2022	J	`jnl`	Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions. Bioinform. Wei Peng, Hancheng Liu, Wei Dai, Ning Yu, Jianxin Wang
2021	—	`conf`	A Heterogeneous Graph Convolutional Network-Based Deep Learning Model to Identify miRNA-Disease Association. ISBRA Zicheng Che, Wei Peng, Wei Dai, Shoulin Wei, Wei Lan
2021	J	`jnl`	A Novel Multi-Ensemble Method for Identifying Essential Proteins. J. Comput. Biol. Wei Dai, Bingxi Chen, Wei Peng, Xia Li, Jiancheng Zhong, Jianxin Wang
2020	—	`conf`	A multi-view approach for predicting microbedisease associations by fusing the linear and nonlinear features. BIBM Ming Liu, Wei Dai, Wei Peng, Yu Fu, Yi Pan
2020	J	`jnl`	Predicting protein functions by using non-negative matrix factorisation with multi-networks co-regularisation. Int. J. Data Min. Bioinform. Wei Peng, Jielin Du, Lun Li, Wei Dai, Wei Lan
2019	—	`conf`	Identifying Human Essential Genes by Network Embedding Protein-Protein Interaction Network. ISBRA Wei Dai, Qi Chang, Wei Peng, Jiancheng Zhong, Yongjiang Li
2019	—	`conf`	Improving Identification of Essential Proteins by a Novel Ensemble Method. ISBRA Wei Dai, Xia Li, Wei Peng, Jurong Song, Jiancheng Zhong, Jianxin Wang
2019	—	`conf`	Predicting protein functions through non-negative matrix factorization regularized by protein-protein interaction network and gene functional information. BIBM Wei Peng, Lun Li, Wei Dai, Jielin Du, Wei Lan