Weijie Sun
Orcid: 0000-0003-3099-0298Affiliations:
- University of Alberta, Department of Computer Sciences, Edmonton, AB, Canada
According to our database1,
Weijie Sun
authored at least 14 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
SEQSIM: A novel bioinformatics tool for comparisons of promoter regions - a case study of calcium binding protein spermatid associated 1 (CABS1).
BMC Bioinform., December, 2025
2024
Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level.
npj Digit. Medicine, 2024
CoRR, 2024
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data.
CoRR, 2024
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data.
Proceedings of the 2024 8th International Conference on Medical and Health Informatics, 2024
2023
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms.
npj Digit. Medicine, 2023
Generative Data by β-Variational Autoencoders Help Build Stronger Classifiers: ECG Use Case.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
An Empirical Study to Investigate Collaboration Among Developers in Open Source Software (OSS).
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023
Supervised Electrocardiogram(ECG) Features Outperform Knowledge-based And Unsupervised Features In Individualized Survival Prediction.
Proceedings of the Machine Learning for Health, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale.
CoRR, 2022
ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets.
CoRR, 2022
2021
Improving the Calibration of Long Term Predictions of Heart Failure Rehospitalizations using Medical Concept Embedding.
Proceedings of AAAI Symposium on Survival Prediction, 2021
2020
Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble.
Proceedings of the Computing in Cardiology, 2020