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ORCIDWei Peng 0004
Person information
- affiliation: Kunming University of Science and Technology, China
- affiliation (PhD 2013): Central South University, School of Information Science and Engineering, Changsha, China
Other persons with the same name
- Wei Peng — disambiguation page
- Wei Peng 0001 — Xerox Innovation Group, Webster, NY, USA (and 1 more)
- Wei Peng 0002
![[0000-0003-1576-4532]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1576-4532")
— Michigan State University, Department of Media and Information, East Lansing, MI, USA (and 1 more) - Wei Peng 0003 — Huazhong University of Science and Technology, School of Electronics Information and Communications, Wuhan, China (and 2 more)
- Wei Peng 0005 — National University of Defense Technology, College of Computer, Changsha, China
- Wei Peng 0006 — Shandong Jianzhu University, School of Information and Electrical Engineering, Jinan, China
- Wei Peng 0007 — Intel Corporation, Folsom, USA (and 1 more)
- Wei Peng 0008 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
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Journal Articles
- 2024
[j29]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)- [j28]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) - 2023
- [j27]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) - [j26]Kaiqi Wang, Li Liu, Xiaodong Fu, Lijun Liu, Wei Peng:
RA-DENet: Reverse Attention and Distractions Elimination Network for polyp segmentation. Comput. Biol. Medicine 155: 106704 (2023) - [j25]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) - [j24]Juncheng Pu, Li Liu, Xiaodong Fu, Zhuo Su, Lijun Liu, Wei Peng:
Feature Representation for High-resolution Clothed Human Reconstruction. Comput. Graph. Forum 42(6) (2023) - [j23]Yong Wei, Li Liu, Xiaodong Fu, Lijun Liu, Wei Peng:
Crowded pose-guided multi-task learning for instance-level human parsing. Mach. Vis. Appl. 34(3): 46 (2023) - [j22]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) - [j21]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) - 2022
- [j20]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) - [j19]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) - [j18]Wei Lan, Ximin Wu, Qingfeng Chen, Wei Peng, Jianxin Wang, Yi-Ping Phoebe Chen:
GANLDA: Graph attention network for lncRNA-disease associations prediction. Neurocomputing 469: 384-393 (2022) - [j17]Junrong Song, Wei Peng, Feng Wang:
Identifying Cancer Patient Subgroups by Finding Co-Modules From the Driver Mutation Profiles and Downstream Gene Expression Profiles. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2863-2872 (2022) - [j16]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) - 2021
- [j15]Jiancheng Zhong, Yusui Sun, Minzhu Xie, Wei Peng, Chushu Zhang, Fang-Xiang Wu, Jianxin Wang:
Proteoform characterization based on top-down mass spectrometry. Briefings Bioinform. 22(2): 1729-1750 (2021) - [j14]Jiancheng Zhong, Chao Tang, Wei Peng, Minzhu Xie, Yusui Sun, Qiang Tang, Qiu Xiao, Jiahong Yang:
A novel essential protein identification method based on PPI networks and gene expression data. BMC Bioinform. 22(1): 248 (2021) - [j13]Wei Lan, Mingrui Zhu, Qingfeng Chen, Jianwei Chen, Jin Ye, Jin Liu, Wei Peng, Shirui Pan:
Prediction of circRNA-miRNA Associations Based on Network Embedding. Complex. 2021: 6659695:1-6659695:10 (2021) - [j12]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) - 2020
- [j11]Ximin Wu, Wei Lan, Qingfeng Chen, Yi Dong, Jin Liu, Wei Peng:
Inferring LncRNA-disease associations based on graph autoencoder matrix completion. Comput. Biol. Chem. 87: 107282 (2020) - [j10]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) - [j9]Junrong Song, Wei Peng, Feng Wang:
An Entropy-Based Method for Identifying Mutual Exclusive Driver Genes in Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 758-768 (2020) - 2019
- [j8]Junrong Song, Wei Peng, Feng Wang:
A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph. BMC Bioinform. 20(1): 238:1-238:17 (2019) - 2017
- [j7]Xiaoqing Peng, Jianxin Wang, Wei Peng, Fang-Xiang Wu, Yi Pan:
Protein-protein interactions: detection, reliability assessment and applications. Briefings Bioinform. 18(5): 798-819 (2017) - [j6]Wei Peng, Min Li, Lu Chen, Lusheng Wang:
Predicting Protein Functions by Using Unbalanced Random Walk Algorithm on Three Biological Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 360-369 (2017) - 2015
- [j5]Wei Peng, Jianxin Wang, Fang-Xiang Wu, Yi Pan:
Detecting conserved protein complexes using a dividing-and-matching algorithm and unequally lenient criteria for network comparison. Algorithms Mol. Biol. 10: 21 (2015) - [j4]Wei Peng, Jianxin Wang, Bihai Zhao, Lusheng Wang:
Identification of Protein Complexes Using Weighted PageRank-Nibble Algorithm and Core-Attachment Structure. IEEE ACM Trans. Comput. Biol. Bioinform. 12(1): 179-192 (2015) - [j3]Wei Peng, Jianxin Wang, Yingjiao Cheng, Yu Lu, Fang-Xiang Wu, Yi Pan:
UDoNC: An Algorithm for Identifying Essential Proteins Based on Protein Domains and Protein-Protein Interaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 12(2): 276-288 (2015) - 2014
- [j2]Wei Peng, Jianxin Wang, Juan Cai, Lu Chen, Min Li, Fang-Xiang Wu:
Improving protein function prediction using domain and protein complexes in PPI networks. BMC Syst. Biol. 8: 35 (2014) - 2012
- [j1]Wei Peng, Jianxin Wang, Weiping Wang, Qing Liu, Fang-Xiang Wu, Yi Pan:
Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks. BMC Syst. Biol. 6: 87 (2012)
Conference and Workshop Papers
- 2024
- [c14]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 - [c13]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
- [c12]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
- [c11]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 - [c10]Xinxin Qi, Xiaodong Fu, Fei Dai, Li Liu, Lijun Liu, Jiaman Ding, Wei Peng:
Collusion Attack Analysis and Detection of DPoS Consensus Mechanism. BlockSys 2022: 194-206 - 2021
- [c9]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
- [c8]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 - 2019
- [c7]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 - [c6]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 - [c5]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 - 2016
- [c4]Wei Peng, Wei Lan, Jianxin Wang, Yi Pan:
Predicting microRNA-disease associations by walking on four biological networks. BIBM 2016: 299-302 - [c3]Wei Peng, Wei Lan, Zeng Yu, Jianxin Wang, Yi Pan:
Predicting MicroRNA-Disease Associations by Random Walking on Multiple Networks. ISBRA 2016: 127-135 - 2013
- [c2]Wei Peng, Jianxin Wang, Fang-Xiang Wu:
A dividing-and-matching algorithm to detect conserved protein complexes via local network alignment. BIBM 2013: 78-81 - [c1]Jianxin Wang, Wei Peng, Yingjiao Chen, Yu Lu, Yi Pan:
Identifying essential proteins based on protein domains in protein-protein interaction networks. BIBM 2013: 133-138
Editorship
- 2024
- [e2]Wei Peng, Zhipeng Cai, Pavel Skums:
Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14954, Springer 2024, ISBN 978-981-97-5127-3 [contents] - [e1]Wei Peng, Zhipeng Cai, Pavel Skums:
Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14955, Springer 2024, ISBN 978-981-97-5130-3 [contents]
Coauthor Index
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last updated on 2024-08-07 22:30 CEST by the dblp team
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