Framework of Computational Intelligence-Enhanced Knowledge Base Construction: Methodology and A Case of Gene-Related Cardiovascular Disease. - Yi Zhang 095; Mengjia Wu; Hua Lin; Steven Tipper; Mark Grosser; Guangquan Zhang 001; Jie Lu 001 (Int. J. Comput. Intell. Syst., 2020)

Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics. - Mengjia Wu; Yi Zhang 095; Mark Grosser; Steven Tipper; Deon Venter; Hua Lin; Jie Lu 001 (Frontiers Res. Metrics Anal., 2021)

BiblioEngine: An AI-Empowered Platform for Disease Genetic Knowledge Mining. - Mengjia Wu; Yi Zhang 095; Hua Lin; Mark Grosser; Guangquan Zhang 001; Jie Lu 001 (HIS, 2023)

Multi-model Transfer Learning and Genotypic Analysis for Seizure Type Classification. - Yue Yang; Kairui Guo; Zhen Fang 001; Hua Lin; Mark Grosser; Jie Lu 001 (HIS, 2023)

Deep Neural Network-Empowered Polygenic Disease Prediction on Cardiovascular Diseases. - Zelia Soo; Hua Lin; Yue Yang; Mark Grosser; Yi Zhang 095; Jie Lu 001 (ISKE, 2023)

Artificial intelligence-driven biomedical genomics. - Kairui Guo; Mengjia Wu; Zelia Soo; Yue Yang; Yi Zhang 095; Qian Zhang 023; Hua Lin; Mark Grosser; Deon Venter; Guangquan Zhang 001; Jie Lu 001 (Knowl. Based Syst., 2023)

Geno-GCN: A Genome-specific Graph Convolutional Network for Diabetes Prediction. - Kairui Guo; Hua Lin; Mark Grosser; Guangquan Zhang 001; Jie Lu 001 (EMBC, 2024)

A Deep Transfer Learning Approach for Predicting Diabetes Complications Using Genomic Data. - Zelia Soo; Kairui Guo; Mengjia Wu; Coco Huang; Hua Lin; Mark Grosser; Yi Zhang 095; Jie Lu 001 (HIS, 2024)

MetaGeno: a chromosome-wise multi-task genomic framework for ischaemic stroke risk prediction. - Yue Yang; Kairui Guo; Yonggang Zhang 003; Zhen Fang 001; Hua Lin; Mark Grosser; Deon Venter; Weihai Lu; Mengjia Wu; Dennis Cordato; Guangquan Zhang 001; Jie Lu 001 (Briefings Bioinform., 2025)