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ORCIDWei Peng 0004
Person information
- affiliation: Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Yunnan, 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.dagstuhl.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 Cyber Science and Engineering, Wuhan, China (and 3 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
- Wei Peng 0009 — Stanford University, Department of Psychiatry and Behavioral Sciences, Stanford, CA, USA (and 1 more)
- Wei Peng 0010 — Chinese Academy of Military Science, Defense Innovation Institute, Beijing, China (and 2 more)
- Wei Peng 0011 — Huawei Technologies, Shenzhen, China (and 2 more)
- Wei Peng 0012 — Changsha University of Science and Technology, School of Traffic and Transportation Engineering, Institute of Radar Remote Sensing Applications for Traffic Surveying and Mapping, Changsha, China (and 2 more)
- Wei Peng 0013 — New York University, Department of Computer Science, New York, NY, USA (and 1 more)
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Journal Articles
- 2026
[j39]Bing Liu, Lijun Liu, Xiaobing Yang, Wei Peng, Li Liu:
Redefining medical visual question answering using conditional generative diffusion models. Biomed. Signal Process. Control. 111: 108222 (2026)- 2025
- [j38]Yunfei Li, Xiaodong Fu, Li Liu, Jiaman Ding, Wei Peng, Lianyin Jia:
Multi-domains personalized local differential privacy frequency estimation mechanism for utility optimization. Comput. Secur. 150: 104273 (2025) - [j37]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) - [j36]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) - [j35]Wei Lan, Zhentao Tang, Mingyang Liu, Qingfeng Chen, Wei Peng, Yi-Ping Phoebe Chen, Yi Pan:
The Large Language Models on Biomedical Data Analysis: A Survey. IEEE J. Biomed. Health Informatics 29(6): 4486-4497 (2025) - 2024
- [j34]Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng:
Transformer-Based Single-Cell Language Model: A Survey. Big Data Min. Anal. 7(4): 1169-1186 (2024) - [j33]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) - [j32]Gaoshi Li, Zhipeng Hu, Xinlong Luo, Jiafei Liu, Jingli Wu, Wei Peng, Xiaoshu Zhu:
Identification of cancer driver genes based on hierarchical weak consensus model. Health Inf. Sci. Syst. 12(1): 21 (2024) - [j31]Zhipeng Hu, Gaoshi Li, Xinlong Luo, Wei Peng, Jiafei Liu, Xiaoshu Zhu, Jingli Wu:
Identification of Cancer Driver Genes based on Dynamic Incentive Model. IEEE ACM Trans. Comput. Biol. Bioinform. 21(6): 2371-2381 (2024) - [j30]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
- [j29]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) - [j28]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) - [j27]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) - [j26]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) - [j25]Gaoshi Li, Xinlong Luo, Zhipeng Hu, Jingli Wu, Wei Peng, Jiafei Liu, Xiaoshu Zhu:
Essential proteins discovery based on dominance relationship and neighborhood similarity centrality. Health Inf. Sci. Syst. 11(1): 55 (2023) - [j24]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) - [j23]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) - [j22]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
- [j21]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) - [j20]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) - [j19]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) - [j18]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) - [j17]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
- [j16]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) - [j15]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) - [j14]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) - [j13]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
- [j12]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) - [j11]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) - [j10]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
- [j9]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
- [j8]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) - [j7]Xiwei Tang, Wei Peng, Minzhu Xie:
Iteration method for detecting disease genes in terms of the integration of the cellular compartment information with the protein-protein interaction data. Int. J. Data Min. Bioinform. 18(4): 315-330 (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
- 2025
- [c18]Xinyue Xu, Wei Peng, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu:
A Survival Prediction Model Integrating Hierarchical Pathological Image and Pathway Features. ISBRA (2) 2025: 98-109 - 2024
- [c17]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 - [c16]Wei Peng, Chuyue Chen, Wei Dai:
Patient Anticancer Drug Response Prediction Based on Single-Cell Deconvolution. ISBRA (3) 2024: 40-51 - [c15]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 - [c14]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
- [c13]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 - [c12]Zhipeng Hu, Gaoshi Li, Jingli Wu, Xinlong Luo, Jiafei Liu, Wei Peng, Xiaoshu Zhu:
Essential proteins identification based on weak consensus model and neighborhood aggregation centrality. BIBM 2023: 324-327 - 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
- 2026
- [e5]Jing Tang, Xin Lai, Zhipeng Cai, Wei Peng, Yanjie Wei:
Bioinformatics Research and Applications - 21st International Symposium, ISBRA 2025, Helsinki, Finland, August 3-5, 2025, Proceedings, Part I. Lecture Notes in Computer Science 15756, Springer 2026, ISBN 978-981-95-0697-2 [contents] - [e4]Jing Tang, Xin Lai, Zhipeng Cai, Wei Peng, Yanjie Wei:
Bioinformatics Research and Applications - 21st International Symposium, ISBRA 2025, Helsinki, Finland, August 3-5, 2025, Proceedings, Part II. Lecture Notes in Computer Science 15757, Springer 2026, ISBN 978-981-95-0694-1 [contents] - 2024
- [e3]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] - [e2]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] - [e1]Wei Peng, Zhipeng Cai, Pavel Skums:
Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14956, Springer 2024, ISBN 978-981-97-5086-3 [contents]
Informal and Other Publications
- 2024
- [i1]Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng:
Transformer-based Single-Cell Language Model: A Survey. CoRR abs/2407.13205 (2024)
Coauthor Index
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