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2020 – today
- 2025
[j22]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
- [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) - [c14]Xiaorui Su, Pengwei Hu, Zhu-Hong You, Philip S. Yu, Lun Hu:
Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer. AAAI 2024: 249-256 - 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]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) - [j13]Xiao-Rui Su, Pengwei Hu, Hai-Cheng Yi, Zhuhong You, Lun Hu:
Predicting Drug-Target Interactions Over Heterogeneous Information Network. IEEE J. Biomed. Health Informatics 27(1): 562-572 (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) - [c13]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 - [c12]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 - [c11]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 - [c10]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 - [c9]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 - 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]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) - [j7]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) - [j6]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) - [j5]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) - [j4]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) - [c8]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 - [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
- [j3]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) - [j2]Hai-Cheng Yi, Zhu-Hong You, Lei Wang, Xiao-Rui Su, Xi Zhou, Tong-Hai Jiang:
In silico drug repositioning using deep learning and comprehensive similarity measures. BMC Bioinform. 22-S(3): 293 (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]Xiao-Rui Su, Zhu-Hong You, Zhan-Heng Chen, Hai-Cheng Yi, Zhen-Hao Guo:
Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation. ICIC (3) 2021: 617-626 - 2020
- [c3]Xiao-Rui Su, Zhuhong You, Hai-Cheng Yi:
Prediction of LncRNA-Disease Associations Based on Network Representation Learning. BIBM 2020: 1805-1812 - [c2]Hai-Cheng Yi, Zhu-Hong You, Xiao-Rui Su, De-Shuang Huang, Zhen-Hao Guo:
A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model. ICIC (2) 2020: 339-347 - [c1]Xiao-Rui Su, Zhu-Hong You, Ji-Ren Zhou, Hai-Cheng Yi, Xiao Li:
A Novel Computational Approach for Predicting Drug-Target Interactions via Network Representation Learning. ICIC (2) 2020: 481-492
2010 – 2019
- 2019
- [j1]Xiao-Zhen Feng, Annaleizle Ferranco, Xiaorui Su, Zhencheng Chen, Zhiliang Jiang, Guo-Cheng Han:
A Facile Electrochemical Sensor Labeled by Ferrocenoyl Cysteine Conjugate for the Detection of Nitrite in Pickle Juice. Sensors 19(2): 268 (2019)
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