Bo-Wei Zhao

33 papers B 1Journal 21Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Integrating Transformer and Graph Attention Network for circRNA-miRNA Interaction Prediction.
IEEE J. Biomed. Health Informatics
Mengmeng Wei, Lei Wang, Bo-Wei Zhao, Xiao-Rui Su, Zhu-Hong You, De-Shuang Huang
2025 J jnl
Regulation-aware graph learning for drug repositioning over heterogeneous biological network.
Inf. Sci.
Bo-Wei Zhao, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Guo-Dong Li, Peng-Wei Hu, Zhu-Hong You, Xin Luo, Lun Hu
2024 J jnl
A PiRNA-disease association model incorporating sequence multi-source information with graph convolutional networks.
Appl. Soft Comput.
Lei Wang, Zheng-Wei Li, Jing Hu, Leon Wong, Bo-Wei Zhao, Zhu-Hong You
2024 J jnl
Biolinguistic graph fusion model for circRNA-miRNA association prediction.
Briefings Bioinform.
Lu-Xiang Guo, Lei Wang, Zhu-Hong You, Chang-Qing Yu, Meng-Lei Hu, Bo-Wei Zhao, Yang Li
2024 J jnl
Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning.
IEEE Trans. Emerg. Top. Comput.
Bo-Wei Zhao, Lei Wang, Pengwei Hu, Leon Wong, Xiao-Rui Su, Bao-Quan Wang, Zhu-Hong You, Lun Hu
2024 — conf
GGANet: A Model for the Prediction of MiRNA-Drug Resistance Based on Contrastive Learning and Global Attention.
ICIC (LNBI 1)
Zimai Zhang, Bo-Wei Zhao, Yu-An Huang, Zhu-Hong You, Lun Hu, Xi Zhou, Pengwei Hu
2024 J jnl
Likelihood-based feature representation learning combined with neighborhood information for predicting circRNA-miRNA associations.
Briefings Bioinform.
Lu-Xiang Guo, Lei Wang, Zhu-Hong You, Chang-Qing Yu, Meng-Lei Hu, Bo-Wei Zhao, Yang Li
2024 J jnl
Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network.
IEEE J. Biomed. Health Informatics
Bo-Wei Zhao, Yi-Zhou He, Xiao-Rui Su, Yue Yang, Guo-Dong Li, Yu-An Huang, Peng-Wei Hu, Zhu-Hong You, Lun Hu
2023 — conf
A Novel Graph Representation Learning Model for Drug Repositioning Using Graph Transition Probability Matrix Over Heterogenous Information Networks.
ICIC (3)
Dong-Xu Li, Xun Deng, Bo-Wei Zhao, Xiao-Rui Su, Guo-Dong Li, Zhu-Hong You, Peng-Wei Hu, Lun Hu
2023 J jnl
Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks.
BMC Bioinform.
Dong-Xu Li, Peng Zhou, Bo-Wei Zhao, Xiao-Rui Su, Guo-Dong Li, Jun Zhang, Peng-Wei Hu, Lun Hu
2023 J jnl
Incorporating higher order network structures to improve miRNA-disease association prediction based on functional modularity.
Briefings Bioinform.
Yi-Zhou He, Yue Yang, Xiao-Rui Su, Bo-Wei Zhao, Shengwu Xiong, Lun Hu
2023 — conf
Multi-level Subgraph Representation Learning for Drug-Disease Association Prediction Over Heterogeneous Biological Information Network.
ICIC (3)
Bo-Wei Zhao, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Peng-Wei Hu, Zhu-Hong You, Lun Hu
2023 J jnl
iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network.
Bioinform.
Bo-Wei Zhao, Xiao-Rui Su, Peng-Wei Hu, Yu-An Huang, Zhu-Hong You, Lun Hu
2022 J jnl
A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2.
Briefings Bioinform.
Xiao-Rui Su, Lun Hu, Zhuhong You, Pengwei Hu, Lei Wang, Bo-Wei Zhao
2022 J jnl
A geometric deep learning framework for drug repositioning over heterogeneous information networks.
Briefings Bioinform.
Bo-Wei Zhao, Xiao-Rui Su, Peng-Wei Hu, Yu-Peng Ma, Xi Zhou, Lun Hu
2022 J jnl
A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction.
Briefings Bioinform.
Lei Wang, Leon Wong, Zheng-Wei Li, Yuan Huang, Xiao-Rui Su, Bo-Wei Zhao, Zhuhong You
2022 J jnl
A novel circRNA-miRNA association prediction model based on structural deep neural network embedding.
Briefings Bioinform.
Lu-Xiang Guo, Zhu-Hong You, Lei Wang, Changqing Yu, Bo-Wei Zhao, Zhong-Hao Ren, Jie Pan
2022 J jnl
Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions.
Briefings Bioinform.
Xiao-Rui Su, Lun Hu, Zhuhong You, Pengwei Hu, Bo-Wei Zhao
2022 — conf
Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities.
ICIC (1)
Yuan Zhang, David Koepke, Bibo Hao, Jing Mei, Xu Min, Rachna Gupta, Rajashree Joshi, Fiona McNaughton, Zhan-Heng Chen, Bo-Wei Zhao, Lun Hu, Pengwei Hu
2022 J jnl
HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks.
Briefings Bioinform.
Bo-Wei Zhao, Lun Hu, Zhu-Hong You, Lei Wang, Xiao-Rui Su
2022 — conf
MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction.
ICIC (2)
Bo-Wei Zhao, Lun Hu, Pengwei Hu, Zhu-Hong You, Xiao-Rui Su, Dong-Xu Li, Zhan-Heng Chen, Ping Zhang
2022 J jnl
Multi-view heterogeneous molecular network representation learning for protein-protein interaction prediction.
BMC Bioinform.
Xiao-Rui Su, Lun Hu, Zhu-Hong You, Pengwei Hu, Bo-Wei Zhao
2022 J jnl
NSECDA: Natural Semantic Enhancement for CircRNA-Disease Association Prediction.
IEEE J. Biomed. Health Informatics
Lei Wang, Leon Wong, Zhu-Hong You, De-Shuang Huang, Xiao-Rui Su, Bo-Wei Zhao
2022 — conf
Predicting Drug-Disease Associations via Meta-path Representation Learning based on Heterogeneous Information Net works.
ICIC (2)
Menglong Zhang, Bo-Wei Zhao, Lun Hu, Zhu-Hong You, Zhan-Heng Chen
2022 J jnl
RLFDDA: a meta-path based graph representation learning model for drug-disease association prediction.
BMC Bioinform.
Menglong Zhang, Bo-Wei Zhao, Xiao-Rui Su, Yi-Zhou He, Yue Yang, Lun Hu
2022 J jnl
iGRLCDA: identifying circRNA-disease association based on graph representation learning.
Briefings Bioinform.
Hanyuan Zhang, Lei Wang, Zhu-Hong You, Lun Hu, Bo-Wei Zhao, Zheng-Wei Li, Yang-Ming Li
2021 — conf
A Multi-graph Deep Learning Model for Predicting Drug-Disease Associations.
ICIC (3)
Bo-Wei Zhao, Zhu-Hong You, Lun Hu, Leon Wong, Bo-Ya Ji, Ping Zhang
2021 — conf
Detection of Drug-Drug Interactions Through Knowledge Graph Integrating Multi-attention with Capsule Network.
ICIC (3)
Xiao-Rui Su, Zhu-Hong You, Hai-Cheng Yi, Bo-Wei Zhao
2021 B conf
Predicting Large-scale Protein-protein Interactions by Extracting Coevolutionary Patterns with MapReduce Paradigm.
SMC
Lun Hu, Bo-Wei Zhao, Shicheng Yang, Xin Luo, MengChu Zhou
2021 — conf
Predicting miRNA-Disease Associations via a New MeSH Headings Representation of Diseases and eXtreme Gradient Boosting.
ICIC (3)
Bo-Ya Ji, Zhu-Hong You, Lei Wang, Leon Wong, Xiao-Rui Su, Bo-Wei Zhao
2021 J jnl
SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning.
Appl. Soft Comput.
Xiao-Rui Su, Zhuhong You, Lei Wang, Lun Hu, Leon Wong, Boya Ji, Bo-Wei Zhao
2020 — conf
A Novel Computational Method for Predicting LncRNA-Disease Associations from Heterogeneous Information Network with SDNE Embedding Model.
ICIC (2)
Ping Zhang, Bo-Wei Zhao, Leon Wong, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi
2020 — conf
Predicting LncRNA-miRNA Interactions via Network Embedding with Integrated Structure and Attribute Information.
ICIC (2)
Bo-Wei Zhao, Ping Zhang, Zhu-Hong You, Ji-Ren Zhou, Xiao Li