Wei Peng

74 papers Journal 50Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Static Knowledge: Dynamic Context-Aware Cross-Modal Contrastive Learning for Medical Visual Question Answering.
IEEE Trans. Medical Imaging
Rui Yang, Lijun Liu, Xupeng Feng, Wei Peng, Xiaobing Yang
2026 — ed.
Bioinformatics Research and Applications - 21st International Symposium, ISBRA 2025, Helsinki, Finland, August 3-5, 2025, Proceedings, Part I
ISBRA (1)
Jing Tang, Xin Lai, Zhipeng Cai, Wei Peng, Yanjie Wei
2026 — ed.
Bioinformatics Research and Applications - 21st International Symposium, ISBRA 2025, Helsinki, Finland, August 3-5, 2025, Proceedings, Part II
ISBRA (2)
Jing Tang, Xin Lai, Zhipeng Cai, Wei Peng, Yanjie Wei
2026 J jnl
Garment-Aware Neural Radiance Fields for Generalizable 3D Human Digitization.
ACM Trans. Multim. Comput. Commun. Appl.
Wei Yin, Li Liu, Xiaodong Fu, Lijun Liu, Wei Peng
2026 J jnl
Redefining medical visual question answering using conditional generative diffusion models.
Biomed. Signal Process. Control.
Bing Liu, Lijun Liu, Xiaobing Yang, Wei Peng, Li Liu
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
CLTDA: Identifying Associations Between tsRNAs and Diseases Based on Contrastive Learning.
Big Data Min. Anal.
Wei Lan, Wenyi Chen, Chunling Li, Qingfeng Chen, Wei Peng, Yi-Ping Phoebe Chen, Xiaoshu Zhu
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
Guest Editorial: Introduction to the Special Section on Bioinformatics Research and Applications.
IEEE Trans. Comput. Biol. Bioinform.
Wei Peng, Zhipeng Cai, Alexander Zelikovsky
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
Instance-Category Feature Representation and Association Learning for Multi-Human Parsing.
IET Image Process.
Lanqing Ye, Li Liu, Xiaodong Fu, Lijun Liu, Wei Peng
2025 J jnl
Multi-domains personalized local differential privacy frequency estimation mechanism for utility optimization.
Comput. Secur.
Yunfei Li, Xiaodong Fu, Li Liu, Jiaman Ding, Wei Peng, Lianyin Jia
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
The Large Language Models on Biomedical Data Analysis: A Survey.
IEEE J. Biomed. Health Informatics
Wei Lan, Zhentao Tang, Mingyang Liu, Qingfeng Chen, Wei Peng, Yi-Ping Phoebe Chen, Yi Pan
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
2025 J jnl
Unified 3D Gaussian splatting for motion and defocus blur reconstruction.
Vis. Informatics
Li Liu, Jing Duan, Xiaodong Fu, Wei Peng, Lijun Liu
2025 J jnl
Using Multi-Feature Weak Consensus Model to Discover Essential Proteins.
IEEE Trans. Comput. Biol. Bioinform.
Zhipeng Hu, Gaoshi Li, Xinlong Luo, Jiafei Liu, Jingli Wu, Wei Peng, Xiaoshu Zhu
2024 — ed.
Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part I
ISBRA (1)
Wei Peng, Zhipeng Cai, Pavel Skums
2024 — ed.
Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part II
ISBRA (2)
Wei Peng, Zhipeng Cai, Pavel Skums
2024 — ed.
Bioinformatics Research and Applications - 20th International Symposium, ISBRA 2024, Kunming, China, July 19-21, 2024, Proceedings, Part III
ISBRA (3)
Wei Peng, Zhipeng Cai, Pavel Skums
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
Identification of Cancer Driver Genes based on Dynamic Incentive Model.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zhipeng Hu, Gaoshi Li, Xinlong Luo, Wei Peng, Jiafei Liu, Xiaoshu Zhu, Jingli Wu
2024 J jnl
Identification of cancer driver genes based on hierarchical weak consensus model.
Health Inf. Sci. Syst.
Gaoshi Li, Zhipeng Hu, Xinlong Luo, Jiafei Liu, Jingli Wu, Wei Peng, Xiaoshu Zhu
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
2024 J jnl
Transformer-Based Single-Cell Language Model: A Survey.
Big Data Min. Anal.
Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng
2024 J jnl
Transformer-based Single-Cell Language Model: A Survey.
CoRR
Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng
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
Crowded pose-guided multi-task learning for instance-level human parsing.
Mach. Vis. Appl.
Yong Wei, Li Liu, Xiaodong Fu, Lijun Liu, Wei Peng
2023 J jnl
Essential proteins discovery based on dominance relationship and neighborhood similarity centrality.
Health Inf. Sci. Syst.
Gaoshi Li, Xinlong Luo, Zhipeng Hu, Jingli Wu, Wei Peng, Jiafei Liu, Xiaoshu Zhu
2023 — conf
Essential proteins identification based on weak consensus model and neighborhood aggregation centrality.
BIBM
Zhipeng Hu, Gaoshi Li, Jingli Wu, Xinlong Luo, Jiafei Liu, Wei Peng, Xiaoshu Zhu
2023 J jnl
Feature Representation for High-resolution Clothed Human Reconstruction.
Comput. Graph. Forum
Juncheng Pu, Li Liu, Xiaodong Fu, Zhuo Su, Lijun Liu, Wei Peng
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
2023 J jnl
RA-DENet: Reverse Attention and Distractions Elimination Network for polyp segmentation.
Comput. Biol. Medicine
Kaiqi Wang, Li Liu, Xiaodong Fu, Lijun Liu, Wei Peng
2022 — conf
Collusion Attack Analysis and Detection of DPoS Consensus Mechanism.
BlockSys
Xinxin Qi, Xiaodong Fu, Fei Dai, Li Liu, Lijun Liu, Jiaman Ding, Wei Peng
2022 J jnl
GANLDA: Graph attention network for lncRNA-disease associations prediction.
Neurocomputing
Wei Lan, Ximin Wu, Qingfeng Chen, Wei Peng, Jianxin Wang, Yi-Ping Phoebe Chen
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
Identifying Cancer Patient Subgroups by Finding Co-Modules From the Driver Mutation Profiles and Downstream Gene Expression Profiles.
IEEE ACM Trans. Comput. Biol. Bioinform.
Junrong Song, Wei Peng, Feng Wang
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
2021 J jnl
A novel essential protein identification method based on PPI networks and gene expression data.
BMC Bioinform.
Jiancheng Zhong, Chao Tang, Wei Peng, Minzhu Xie, Yusui Sun, Qiang Tang, Qiu Xiao, Jiahong Yang
2021 J jnl
Prediction of circRNA-miRNA Associations Based on Network Embedding.
Complex.
Wei Lan, Mingrui Zhu, Qingfeng Chen, Jianwei Chen, Jin Ye, Jin Liu, Wei Peng, Shirui Pan
2021 J jnl
Proteoform characterization based on top-down mass spectrometry.
Briefings Bioinform.
Jiancheng Zhong, Yusui Sun, Minzhu Xie, Wei Peng, Chushu Zhang, Fang-Xiang Wu, 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
An Entropy-Based Method for Identifying Mutual Exclusive Driver Genes in Cancer.
IEEE ACM Trans. Comput. Biol. Bioinform.
Junrong Song, Wei Peng, Feng Wang
2020 J jnl
Inferring LncRNA-disease associations based on graph autoencoder matrix completion.
Comput. Biol. Chem.
Ximin Wu, Wei Lan, Qingfeng Chen, Yi Dong, Jin Liu, Wei Peng
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 J jnl
A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph.
BMC Bioinform.
Junrong Song, Wei Peng, Feng Wang
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
2017 J jnl
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.
Xiwei Tang, Wei Peng, Minzhu Xie
2017 J jnl
Predicting Protein Functions by Using Unbalanced Random Walk Algorithm on Three Biological Networks.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wei Peng, Min Li, Lu Chen, Lusheng Wang
2017 J jnl
Protein-protein interactions: detection, reliability assessment and applications.
Briefings Bioinform.
Xiaoqing Peng, Jianxin Wang, Wei Peng, Fang-Xiang Wu, Yi Pan
2016 — conf
Predicting MicroRNA-Disease Associations by Random Walking on Multiple Networks.
ISBRA
Wei Peng, Wei Lan, Zeng Yu, Jianxin Wang, Yi Pan
2016 — conf
Predicting microRNA-disease associations by walking on four biological networks.
BIBM
Wei Peng, Wei Lan, Jianxin Wang, Yi Pan
2015 J jnl
Detecting conserved protein complexes using a dividing-and-matching algorithm and unequally lenient criteria for network comparison.
Algorithms Mol. Biol.
Wei Peng, Jianxin Wang, Fang-Xiang Wu, Yi Pan
2015 J jnl
Identification of Protein Complexes Using Weighted PageRank-Nibble Algorithm and Core-Attachment Structure.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wei Peng, Jianxin Wang, Bihai Zhao, Lusheng Wang
2015 J jnl
UDoNC: An Algorithm for Identifying Essential Proteins Based on Protein Domains and Protein-Protein Interaction Networks.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wei Peng, Jianxin Wang, Yingjiao Cheng, Yu Lu, Fang-Xiang Wu, Yi Pan
2014 J jnl
Improving protein function prediction using domain and protein complexes in PPI networks.
BMC Syst. Biol.
Wei Peng, Jianxin Wang, Juan Cai, Lu Chen, Min Li, Fang-Xiang Wu
2013 — conf
A dividing-and-matching algorithm to detect conserved protein complexes via local network alignment.
BIBM
Wei Peng, Jianxin Wang, Fang-Xiang Wu
2013 — conf
Identifying essential proteins based on protein domains in protein-protein interaction networks.
BIBM
Jianxin Wang, Wei Peng, Yingjiao Chen, Yu Lu, Yi Pan
2012 J jnl
Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks.
BMC Syst. Biol.
Wei Peng, Jianxin Wang, Weiping Wang, Qing Liu, Fang-Xiang Wu, Yi Pan