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2020 – today
- 2025
[j24]Bo-Wei Zhao
, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Guo-Dong Li, Peng-Wei Hu, Zhu-Hong You, Xin Luo, Lun Hu:
Regulation-aware graph learning for drug repositioning over heterogeneous biological network. Inf. Sci. 686: 121360 (2025)- 2024
- [j23]Lei Wang, Zheng-Wei Li, Jing Hu, Leon Wong, Bo-Wei Zhao, Zhu-Hong You:
A PiRNA-disease association model incorporating sequence multi-source information with graph convolutional networks. Appl. Soft Comput. 157: 111523 (2024) - [j22]Lu-Xiang Guo, Lei Wang, Zhu-Hong You, Chang-Qing Yu, Meng-Lei Hu, Bo-Wei Zhao, Yang Li:
Likelihood-based feature representation learning combined with neighborhood information for predicting circRNA-miRNA associations. Briefings Bioinform. 25(2) (2024) - [j21]Guodong Li, Bowei Zhao, Xiaorui Su, Dong-Xu Li, Yue Yang, Zhi Zeng, Lun Hu:
Learning Sequential and Structural Dependencies Between Nucleotides for RNA N6-Methyladenosine Site Identification. IEEE CAA J. Autom. Sinica 11(10): 2123-2134 (2024) - [j20]Bo-Wei Zhao, Lei Wang, Pengwei Hu, Leon Wong, Xiao-Rui Su, Bao-Quan Wang, Zhu-Hong You, Lun Hu:
Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning. IEEE Trans. Emerg. Top. Comput. 12(1): 163-176 (2024) - [j19]Yue Yang, Xiaorui Su, Bowei Zhao, GuoDong Li, Pengwei Hu, Jun Zhang, Lun Hu:
Fuzzy-Based Deep Attributed Graph Clustering. IEEE Trans. Fuzzy Syst. 32(4): 1951-1964 (2024) - [j18]Guodong Li, Bowei Zhao, Xiaorui Su, Yue Yang, Pengwei Hu, Xi Zhou, Lun Hu:
Discovering Consensus Regions for Interpretable Identification of RNA N6-Methyladenosine Modification Sites via Graph Contrastive Clustering. IEEE J. Biomed. Health Informatics 28(4): 2362-2372 (2024) - [j17]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:
Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network. IEEE J. Biomed. Health Informatics 28(7): 4281-4294 (2024) - [c16]Zimai Zhang, Bo-Wei Zhao, Yu-An Huang, Zhu-Hong You, Lun Hu, Xi Zhou, Pengwei Hu:
GGANet: A Model for the Prediction of MiRNA-Drug Resistance Based on Contrastive Learning and Global Attention. ICIC (LNBI 1) 2024: 263-275 - 2023
- [j16]Yi-Zhou He, Yue Yang, Xiao-Rui Su, Bo-Wei Zhao, Shengwu Xiong, Lun Hu:
Incorporating higher order network structures to improve miRNA-disease association prediction based on functional modularity. Briefings Bioinform. 24(1) (2023) - [j15]Bo-Wei Zhao, Xiao-Rui Su, Peng-Wei Hu, Yu-An Huang, Zhu-Hong You, Lun Hu:
iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network. Bioinform. 39(8) (2023) - [j14]Ping Zhang, Weicheng Sun, Dengguo Wei, Guodong Li, Jinsheng Xu, Zhuhong You, Bowei Zhao, Li Li:
PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based feature augmentation. BMC Bioinform. 24(1): 18 (2023) - [j13]Dong-Xu Li, Peng Zhou, Bo-Wei Zhao, Xiao-Rui Su, Guo-Dong Li, Jun Zhang, Peng-Wei Hu, Lun Hu:
Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks. BMC Bioinform. 24(1): 451 (2023) - [j12]Xiaorui Su, Zhuhong You, Deshuang Huang, Lei Wang, Leon Wong, Boya Ji, Bowei Zhao:
Biomedical Knowledge Graph Embedding With Capsule Network for Multi-Label Drug-Drug Interaction Prediction. IEEE Trans. Knowl. Data Eng. 35(6): 5640-5651 (2023) - [c15]Guodong Li, Bowei Zhao, Xiaorui Su, Yue Yang, Pengwei Hu, Lun Hu:
Learning RNA sequence patterns to interpretably identify m6A modification sites. BIBM 2023: 1248-1253 - [c14]Dongxu Li, Bowei Zhao, Xiaorui Su, Guodong Li, Yue Yang, Pengwei Hu, Lun Hu:
Drug Repositioning Method Based on Pre-trained Large Model and Network Embedding Representation. ICDM (Workshops) 2023: 418-423 - [c13]Bo-Wei Zhao, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Peng-Wei Hu, Zhu-Hong You, Lun Hu:
Multi-level Subgraph Representation Learning for Drug-Disease Association Prediction Over Heterogeneous Biological Information Network. ICIC (3) 2023: 156-167 - [c12]Dong-Xu Li, Xun Deng, Bo-Wei Zhao, Xiao-Rui Su, Guo-Dong Li, Zhu-Hong You, Peng-Wei Hu, Lun Hu:
A Novel Graph Representation Learning Model for Drug Repositioning Using Graph Transition Probability Matrix Over Heterogenous Information Networks. ICIC (3) 2023: 180-191 - [c11]Yuan Zhang, Zhengbo Zhang, Xiaoli Liu, Lei Zha, Fengcong, Xiaorui Su, Bowei Zhao, Lun Hu, Pengwei Hu:
A Deep Learning Approach Incorporating Data Missing Mechanism in Predicting Acute Kidney Injury in ICU. ICIC (3) 2023: 335-346 - [d1]Bo-Wei Zhao:
motifMDA. IEEE DataPort, 2023
- 2022
- [j11]Xiao-Rui Su, Lun Hu, Zhuhong You, Pengwei Hu, Lei Wang, Bo-Wei Zhao:
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. 23(1) (2022) - [j10]Bo-Wei Zhao, Lun Hu, Zhu-Hong You, Lei Wang, Xiao-Rui Su:
HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks. Briefings Bioinform. 23(1) (2022) - [j9]Xiao-Rui Su, Lun Hu, Zhuhong You, Pengwei Hu, Bo-Wei Zhao:
Attention-based Knowledge Graph Representation Learning for Predicting Drug-drug Interactions. Briefings Bioinform. 23(3) (2022) - [j8]Han-Yuan Zhang, Lei Wang, Zhu-Hong You, Lun Hu, Bo-Wei Zhao, Zheng-Wei Li, Yang-Ming Li:
iGRLCDA: identifying circRNA-disease association based on graph representation learning. Briefings Bioinform. 23(3) (2022) - [j7]Lu-Xiang Guo, Zhu-Hong You, Lei Wang, Changqing Yu, Bo-Wei Zhao, Zhong-Hao Ren, Jie Pan:
A novel circRNA-miRNA association prediction model based on structural deep neural network embedding. Briefings Bioinform. 23(5) (2022) - [j6]Lei Wang, Leon Wong, Zheng-Wei Li, Yuan Huang, Xiao-Rui Su, Bo-Wei Zhao, Zhuhong You:
A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction. Briefings Bioinform. 23(5) (2022) - [j5]Bo-Wei Zhao, Xiao-Rui Su, Peng-Wei Hu, Yu-Peng Ma, Xi Zhou, Lun Hu:
A geometric deep learning framework for drug repositioning over heterogeneous information networks. Briefings Bioinform. 23(6) (2022) - [j4]Xiao-Rui Su, Lun Hu, Zhu-Hong You, Pengwei Hu, Bo-Wei Zhao:
Multi-view heterogeneous molecular network representation learning for protein-protein interaction prediction. BMC Bioinform. 23(1): 234 (2022) - [j3]Menglong Zhang, Bo-Wei Zhao, Xiao-Rui Su, Yi-Zhou He, Yue Yang, Lun Hu:
RLFDDA: a meta-path based graph representation learning model for drug-disease association prediction. BMC Bioinform. 23(1): 516 (2022) - [j2]Lei Wang, Leon Wong, Zhu-Hong You, De-Shuang Huang, Xiao-Rui Su, Bo-Wei Zhao:
NSECDA: Natural Semantic Enhancement for CircRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics 26(10): 5075-5084 (2022) - [c10]Menglong Zhang, Bo-Wei Zhao, Lun Hu, Zhu-Hong You, Zhan-Heng Chen:
Predicting Drug-Disease Associations via Meta-path Representation Learning based on Heterogeneous Information Net works. ICIC (2) 2022: 220-232 - [c9]Bo-Wei Zhao, Lun Hu, Pengwei Hu, Zhu-Hong You, Xiao-Rui Su, Dong-Xu Li, Zhan-Heng Chen, Ping Zhang:
MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction. ICIC (2) 2022: 451-459 - [c8]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:
Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities. ICIC (1) 2022: 739-752 - [c7]Yue Yang, Xiaorui Su, Bowei Zhao, Yizhou He, Lun Hu:
A Novel Fuzzy-Based MOPSO Algorithm for Identifying Clusters From Complex Networks. ICTAI 2022: 1126-1131 - 2021
- [j1]Xiao-Rui Su, Zhuhong You, Lei Wang, Lun Hu, Leon Wong, Boya Ji, Bo-Wei Zhao:
SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning. Appl. Soft Comput. 111: 107831 (2021) - [c6]Bo-Ya Ji, Zhu-Hong You, Lei Wang, Leon Wong, Xiao-Rui Su, Bo-Wei Zhao:
Predicting miRNA-Disease Associations via a New MeSH Headings Representation of Diseases and eXtreme Gradient Boosting. ICIC (3) 2021: 49-56 - [c5]Xiao-Rui Su, Zhu-Hong You, Hai-Cheng Yi, Bo-Wei Zhao:
Detection of Drug-Drug Interactions Through Knowledge Graph Integrating Multi-attention with Capsule Network. ICIC (3) 2021: 423-432 - [c4]Bo-Wei Zhao, Zhu-Hong You, Lun Hu, Leon Wong, Bo-Ya Ji, Ping Zhang:
A Multi-graph Deep Learning Model for Predicting Drug-Disease Associations. ICIC (3) 2021: 580-590 - [c3]Lun Hu, Bo-Wei Zhao, Shicheng Yang, Xin Luo, MengChu Zhou:
Predicting Large-scale Protein-protein Interactions by Extracting Coevolutionary Patterns with MapReduce Paradigm. SMC 2021: 939-944 - 2020
- [c2]Bo-Wei Zhao, Ping Zhang, Zhu-Hong You, Ji-Ren Zhou, Xiao Li:
Predicting LncRNA-miRNA Interactions via Network Embedding with Integrated Structure and Attribute Information. ICIC (2) 2020: 493-501 - [c1]Ping Zhang, Bo-Wei Zhao, Leon Wong, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi:
A Novel Computational Method for Predicting LncRNA-Disease Associations from Heterogeneous Information Network with SDNE Embedding Model. ICIC (2) 2020: 505-513
Coauthor Index
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