1. K. Guo, H. Lin, M. Grosser, G. Zhang, and J. Lu, "Geno-GCN: A Genome-specific Graph Convolutional Network for Diabetes Prediction," in 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024: IEEE, pp. 1-4. 

  2. Z. Soo, H. Lin, Y. Yang, M. Grosser, Y. Zhang, and J. Lu, "Deep Neural Network-Empowered Polygenic Disease Prediction on Cardiovascular Diseases," in 2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2023: IEEE, pp. 309-315. 

  3. M. Wu, Y. Zhang, H. Lin, M. Grosser, G. Zhang, and J. Lu, "BiblioEngine: An AI-Empowered Platform for Disease Genetic Knowledge Mining," in International Conference on Health Information Science, 2023: Springer, pp. 187-198. 

  4. Y. Yang, K. Guo, Z. Fang, H. Lin, M. Grosser, and J. Lu, "Multi-model transfer learning and genotypic analysis for seizure type classification," in International Conference on Health Information Science, 2023: Springer, pp. 223-234. 

  5. K. Guo, M. Wu, Z. Soo, Y. Yang, Y. Zhang, Q. Zhang, H. Lin, M. Grosser, D. Venter, and G. Zhang, "Artificial intelligence-driven biomedical genomics," Knowledge-Based Systems, vol. 279, p. 110937, 2023.

  6. M. Grosser, H. Lin, M. Wu, Y. Zhang, S. Tipper, D. Venter, J. Lu, and C. Dos Remedios, "A bibliometric review of peripartum cardiomyopathy compared to other cardiomyopathies using artificial intelligence and machine learning," Biophysical Reviews, pp. 1-21, 2022.

  7. M. Wu, Y. Zhang, M. Grosser, S. Tipper, D. Venter, H. Lin, and J. Lu, "Profiling COVID-19 genetic research: A data-driven study utilizing intelligent bibliometrics," Frontiers in Research Metrics and Analytics, vol. 6, p. 30, 2021.

  8. M. Wu, Y. Zhang, J. Lu, H. Lin, and M. Grosser, "Recommending scientific collaborators: Bibliometric networks for medical research entities," presented at the FLINS/ISKE 2020: The 14th International FLINS Conference on Robotics and Artificial Intelligence and the 15th International Conference on Intelligent Systems and Knowledge Engineering, 2020.

  9. Q. Zhang, G. Zhang, J. Lu, and H. Lin, "A framework of clinical recommender system with genomic information," in Developments of Artificial Intelligence Technologies in Computation and Robotics: Proceedings of the 14th International FLINS Conference (FLINS 2020), 2020: World Scientific, pp. 522-529. 

  10. Y. Zhang, M. Wu, H. Lin, S. Tipper, M. Grosser, G. Zhang, and J. Lu, "Framework of Computational Intelligence-Enhanced Knowledge Base Construction: Methodology and A Case of Gene-Related Cardiovascular Disease," International Journal of Computational Intelligence Systems, vol. 13, no. 1, pp. 1109-1119, 2020.

  11. Z. Soo, K. Guo, M. Wu, C. Huang, H. Lin, M. Grosser, Y. Zhang, and J. Lu, "A Deep Transfer Learning Approach for Predicting Diabetes Complications Using Genomic Data," presented at the the 13th International Conference on Health Information Science (HIS2024), Hong Kong, China, 2024.