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. 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.

• Predicting Drug-Target Interactions over Heterogeneous Information Network. IEEE Journal of Biomedical and Health Informatics, 27(1),562-572.
• PPAEDTI: Personalized Propagation Auto-Encoder Model For Predicting Drug-Target Interactions. IEEE Journal of Biomedical and Health Informatics, 27(1), 573-582.
• Incorporating higher order network structures to improve miRNA????disease association prediction based on functional modularity. Briefings in Bioinformatics, DOI: 10.1093/bib/bbac562.
• Ppisb: a novel network-based algorithm of predicting protein-protein interactions with mixed membership stochastic blockmodel. IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2022.3196336.
• Automatic Detection of Melanins and Sebums from Skin Images Using a Generative Adversarial Network. Cognitive Computation, 14, 1599-1608.