Dianbo Liu
Publications by Year
Research Areas
Machine Learning in Healthcare, Privacy-Preserving Technologies in Data, Artificial Intelligence in Healthcare and Education, COVID-19 diagnosis using AI, Gene Regulatory Network Analysis
Most-Cited Works
- → Patients with Cancer Appear More Vulnerable to SARS-CoV-2: A Multicenter Study during the COVID-19 Outbreak(2020)1,624 cited
- → Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records(2019)440 cited
- → The role of environmental factors on transmission rates of the COVID-19 outbreak: an initial assessment in two spatial scales(2020)189 cited
- → High-throughput 5′ UTR engineering for enhanced protein production in non-viral gene therapies(2021)150 cited
- → LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data(2020)142 cited
- → FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters(2021)132 cited
- → A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models(2020)102 cited
- → Two-stage Federated Phenotyping and Patient Representation Learning(2019)100 cited
- → Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models(2020)75 cited
- → FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record(2018)64 cited