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ORCIDWei Dai 0012
Person information
- affiliation: Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Computer Technology Application Key Lab of Yunnan Province, Kunming, China
Other persons with the same name
- Wei Dai — disambiguation page
- Wei Dai 0001
![[0000-0002-4781-3485]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4781-3485")
— Imperial College London, Department of Electrical and Electronic Engineering, UK (and 2 more) - Wei Dai 0002 — Agora.io, Inc. (and 1 more)
- Wei Dai 0003 — Petuum Inc., Pittsburgh, PA, USA (and 1 more)
- Wei Dai 0004 — China University of Mining Technology, School of Information and Electrical Engineering, Xuzhou, China (and 1 more)
- Wei Dai 0005 — Beihang University, School of Reliability and System Engineering, Beijing, China
- Wei Dai 0006 — New York University School of Medicine, NY, USA (and 1 more)
- Wei Dai 0007 — Microsoft Research, Redmond, WA, USA (and 1 more)
- Wei Dai 0008 — University of California, Santa Barbara, USA
- Wei Dai 0009 — Victoria University, Melbourne, Australia
- Wei Dai 0010 — University of California Irvine, Irvine, CA, USA
- Wei Dai 0011 — University of California, San Diego, USA
- Wei Dai 0013 (aka: Wei (David) Dai) — Massachusetts Institute of Technology, Media Lab, Cambridge, MA, USA (and 2 more)
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2020 – today
- 2025
[j15]Wei Dai, Sifan Pang, Zhichen He, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu:
Prediction of miRNA-disease association based on heterogeneous hypergraph convolution and heterogeneous graph multi-scale convolution. Health Inf. Sci. Syst. 13(1): 4 (2025)- [j14]Wei Peng, Yanhan Ma, Chunshan Li, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Jin Liu:
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 184: 107020 (2025) - [j13]Wei Peng, Chuyue Chen, Wei Dai, Ning Yu, Jianxin Wang:
Predicting Clinical Anticancer Drug Response of Patients by Using Domain Alignment and Prototypical Learning. IEEE J. Biomed. Health Informatics 29(2): 1534-1545 (2025) - 2024
- [j12]Fangxu Chen, Wei Peng, Wei Dai, Shoulin Wei, Xiaodong Fu, Li Liu, Lijun Liu:
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration. Health Inf. Sci. Syst. 12(1): 12 (2024) - [j11]Xiaoli Zhang, Jialei Nie, Shoulin Wei, Guifu Zhu, Wei Dai, Can Yang:
A Study of Classroom Behavior Recognition Incorporating Super-Resolution and Target Detection. Sensors 24(17): 5640 (2024) - [j10]Wei Peng, Zhengnan Zhou, Wei Dai, Ning Yu, Jianxin Wang:
Multi-Network Graph Contrastive Learning for Cancer Driver Gene Identification. IEEE Trans. Netw. Sci. Eng. 11(4): 3430-3440 (2024) - [c11]Wei Peng, Zhihao Ping, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu:
Sparse Attention-based Hierarchical Node Representation for Spatial Domain Identification. BIBM 2024: 573-578 - [c10]Wei Peng, Chuyue Chen, Wei Dai:
Patient Anticancer Drug Response Prediction Based on Single-Cell Deconvolution. ISBRA (3) 2024: 40-51 - [c9]Wei Peng, Jiangzhen Lin, Wei Dai, Gong Chen, Xiaodong Fu, Li Liu, Lijun Liu:
Hypergraph Representation Learning for Cancer Drug Response Prediction. ISBRA (2) 2024: 339-349 - [c8]Wei Peng, Zhengnan Zhou, Wei Dai, Xinping Xu, Xiaodong Fu, Li Liu, Lijun Liu:
DGCL: A Contrastive Learning Method for Predicting Cancer Driver Genes Based on Graph Diffusion. ISBRA (2) 2024: 350-359 - 2023
- [j9]Wei Peng, Rong Wu, Wei Dai, Ning Yu:
Identifying cancer driver genes based on multi-view heterogeneous graph convolutional network and self-attention mechanism. BMC Bioinform. 24(1): 16 (2023) - [j8]Wei Peng, Tielin Chen, Hancheng Liu, Wei Dai, Ning Yu, Wei Lan:
Improving drug response prediction based on two-space graph convolution. Comput. Biol. Medicine 158: 106859 (2023) - [j7]Wei Peng, Ming Liu, Wei Dai, Tielin Chen, Yu Fu, Yi Pan:
Multi-View Feature Aggregation for Predicting Microbe-Disease Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2748-2758 (2023) - [j6]Wei Peng, Zicheng Che, Wei Dai, Shoulin Wei, Wei Lan:
Predicting miRNA-Disease Associations From miRNA-Gene-Disease Heterogeneous Network With Multi-Relational Graph Convolutional Network Model. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3363-3375 (2023) - [c7]Wei Peng, Zhihao Zhang, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu:
A multi-view comparative learning method for spatial transcriptomics data clustering. BIBM 2023: 287-292 - 2022
- [j5]Wei Peng, Qi Tang, Wei Dai, Tielin Chen:
Improving cancer driver gene identification using multi-task learning on graph convolutional network. Briefings Bioinform. 23(1) (2022) - [j4]Wei Peng, Hancheng Liu, Wei Dai, Ning Yu, Jianxin Wang:
Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions. Bioinform. 38(19): 4546-4553 (2022) - [j3]Wei Peng, Tielin Chen, Wei Dai:
Predicting Drug Response Based on Multi-Omics Fusion and Graph Convolution. IEEE J. Biomed. Health Informatics 26(3): 1384-1393 (2022) - [c6]Wei Peng, Piaofang Yu, Wei Dai, Xiaodong Fu, Li Liu, Yi Pan:
Identification of personalized driver genes for individuals using graph convolution network. BIBM 2022: 523-528 - 2021
- [j2]Wei Dai, Bingxi Chen, Wei Peng, Xia Li, Jiancheng Zhong, Jianxin Wang:
A Novel Multi-Ensemble Method for Identifying Essential Proteins. J. Comput. Biol. 28(7): 637-649 (2021) - [c5]Zicheng Che, Wei Peng, Wei Dai, Shoulin Wei, Wei Lan:
A Heterogeneous Graph Convolutional Network-Based Deep Learning Model to Identify miRNA-Disease Association. ISBRA 2021: 130-141 - 2020
- [j1]Wei Peng, Jielin Du, Lun Li, Wei Dai, Wei Lan:
Predicting protein functions by using non-negative matrix factorisation with multi-networks co-regularisation. Int. J. Data Min. Bioinform. 23(4): 318-342 (2020) - [c4]Ming Liu, Wei Dai, Wei Peng, Yu Fu, Yi Pan:
A multi-view approach for predicting microbedisease associations by fusing the linear and nonlinear features. BIBM 2020: 323-328
2010 – 2019
- 2019
- [c3]Wei Peng, Lun Li, Wei Dai, Jielin Du, Wei Lan:
Predicting protein functions through non-negative matrix factorization regularized by protein-protein interaction network and gene functional information. BIBM 2019: 86-89 - [c2]Wei Dai, Qi Chang, Wei Peng, Jiancheng Zhong, Yongjiang Li:
Identifying Human Essential Genes by Network Embedding Protein-Protein Interaction Network. ISBRA 2019: 127-137 - [c1]Wei Dai, Xia Li, Wei Peng, Jurong Song, Jiancheng Zhong, Jianxin Wang:
Improving Identification of Essential Proteins by a Novel Ensemble Method. ISBRA 2019: 146-155
Coauthor Index
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