| Artificial intelligence-powered pharmacovigilance: A review of machine and deep learning in clinical text-based adverse drug event detection for benchmark datasets Y Li, W Tao, Z Li, Z Sun, F Li, S Fenton, H Xu, C Tao Journal of Biomedical Informatics, 104621, 2024 | 2 | 2024 |
| Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions F Li, Y Nian, Z Sun, C Tao Yearbook of Medical Informatics 32 (01), 215-224, 2023 | 2 | 2023 |
| Reinforced Contrastive Graph Neural Networks (RCGNN) for Anomaly Detection Z Sun, J Su, D Jeon, A Velasquez, H Song, S Niu 2022 IEEE International Performance, Computing, and Communications …, 2022 | 2 | 2022 |
| Dynamic Prognosis Prediction for Patients on DAPT After Drug‐Eluting Stent Implantation: Model Development and Validation F Li, L Rasmy, Y Xiang, J Feng, A Abdelhameed, X Hu, Z Sun, D Aguilar, ... Journal of the American Heart Association 13 (3), e029900, 2024 | | 2024 |
| Mapping Vaccine Names in Clinical Trials to Vaccine Ontology using Cascaded Fine-Tuned Domain-Specific Language Models J Li, Y Li, Y Pan, J Guo, Z Sun, F Li, Y He, C Tao Research Square, 2023 | | 2023 |
| Explainable Graph Neural Network for Alzheimer's Disease And Related Dementias Risk Prediction X Hu, Z Sun, Y Nian, Y Dang, F Li, J Feng, E Yu, C Tao arXiv preprint arXiv:2309.06584, 2023 | | 2023 |
| Named Entity Recognition and Normalization for Alzheimer’s Disease Eligibility Criteria Z Sun, C Tao 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI …, 2023 | | 2023 |
| Theory of Linear Models for Estimating Regression Parameters with Applications to Two-Factor Studies with Unequal Sample Sizes Z Sun | | 2019 |
