Academic Experience
(2016/09 - 2020/06)
Undergraduate, School of Computer Science and Technology of SDUFE.
(2020/09 - 2023/01)
Postgradute, School of Electronic Information of XJU.
(2023/01 - 2023/09)
Postgradute, Yangtze Delta Region Institute (Quzhou) of UESTC.
(2023/09 - Today)
PhD candidate, College of Computer Science and Electronic Engineering in the HUN.
(2024/07 - Today)
PhD candidate, Yangtze Delta Region Institute (Quzhou) of UESTC.
Research Interests
Knowledge Graph Neural Network; Drug Discovery; Single Cell; AI4Science
Hobbies
Study, music, movie, and hip-hop.
Publications
Ren Z H, You Z H, Yu C Q, et al. A biomedical knowledge graph-based method for drug–drug interactions prediction through combining local and global features with deep neural networks[J]. Briefings in bioinformatics, 2022, 23(5): bbac363.
Ren Z H, You Z H, Zou Q, et al. DeepMPF: deep learning framework for predicting drug–target interactions based on multi-modal representation with meta-path semantic analysis[J]. Journal of Translational Medicine, 2023, 21(1): 48.
Ren Z H, Yu C Q, Li L P, et al. BioDKG–DDI: predicting drug–drug interactions based on drug knowledge graph fusing biochemical information[J]. Briefings in Functional Genomics, 2022, 21(3): 216-229.
Ren Z H, Yu C Q, Li L P, et al. SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution[J]. Journal of Chemical Information and Modeling, 2023, 64(1): 238-249.
Ren Z H, Yu C Q, Li L P, et al. SAWRPI: A stacking ensemble framework with adaptive weight for predicting ncRNA-protein interactions using sequence information[J]. Frontiers in Genetics, 2022, 13: 839540.
Ren Z H, Yu C Q, Li L P, et al. Biochemddi: Predicting drug–drug interactions by fusing biochemical and structural information through a self-attention mechanism[J]. Biology, 2022, 11(5): 758.