Lun Hu Dr. (The Hong Kong Polytechnic University Department of Computing); M.S. (The Hong Kong Polytechnic University Department of Computing); B.S. (Huazhong University of Science and Technology)
Prof., Xinjiang Technical Institute of Physics & Chemistry, Ürümqi · China
Editorial leadership for Journal of Medical Informatics and Decision Making ISSN 2641-5526
Research interests
- Machine Learning
- Complex Network Analysis
- Their Applications In Bioinformatics
Biography
Prof. Lun Hu, MS, is a Professor at the Xinjiang Technical Institute of Physics & Chemistry in Ürümqi, China. He received his education from Huazhong University of Science and Technology and the Department of Computing at The Hong Kong Polytechnic University. His research focuses on computational methods in biomedicine, particularly graph representation learning and network-based approaches for predicting drug–disease associations. Prof. Hu has authored over 52 indexed publications, with his most-cited work, "HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks" (2021), receiving 136 citations and exemplifying his contributions to integrating machine learning with biomedical informatics.
Selected publications
- HINGRL: predicting drug–disease associations with graph representation learning on heterogeneous information networks 2021 cited 136×
- A geometric deep learning framework for drug repositioning over heterogeneous information networks 2022 cited 132×
- HiSCF: leveraging higher-order structures for clustering analysis in biological networks 2020 cited 111×
- Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications 2020 cited 105×
- FCAN-MOPSO: An Improved Fuzzy-Based Graph Clustering Algorithm for Complex Networks With Multiobjective Particle Swarm Optimization 2023 cited 92×
- iGRLDTI: an improved graph representation learning method for predicting drug–target interactions over heterogeneous biological information network 2023 cited 91×
Ranked by citation impact (Crossref) where available, newest otherwise · verified via ORCID.
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This journal is guided by Lun Hu (Prof., Xinjiang Technical Institute of Physics & Chemistry, Ürümqi) and a peer-review board of practising researchers. Open access, author-retained copyright (CC BY), and a clear editorial process.