Yubin Wang

The paper evaluates somatic mutation detection methods across different sequencing and analysis pipelines to identify false negatives in drug-resistant mutations.

This paper introduces a self-supervised neural network method for ECG de-noising that adapts to different devices and improves classification performance compared to traditional methods.

This paper introduces a neural network for ECG classification that improves interpretability and performance by capturing long-dependent features and temporal patterns in raw ECG signals.