Ming-En Hsieh — accepted AI-conference papers

2022

Contrastive Heartbeats: Contrastive Learning for Self-Supervised ECG Representation and Phenotyping

Crystal T. Wei, Ming-En Hsieh, Chien-Liang Liu, Vincent S. Tseng

ICASSP 2022accepted

The non-invasive and easily accessible characteristics of electrocardiogram (ECG) attract many studies targeting AI-enabled cardiovascular-related disease screening tools based on ECG. However, the high cost of manual labels makes high-performance deep learning models challenging to obtain. Hence, w…

Cited by 0 Source ↗Scholar ↗

2021

Boosting Multi-task Learning Through Combination of Task Labels – with Applications in ECG Phenotyping

Ming-En Hsieh, Vincent Tseng

AAAI 2021technical

Multi-task learning has increased in importance due to its superior performance by learning multiple different tasks simultaneously and its ability to perform several different tasks using a single model. In medical phenotyping, task labels are costly to acquire and might contain a certain degree of…

Cited by 12 Source ↗PDF ↗code ↗Scholar ↗