Ying Ding

Combining diverse data types improves predictions for ICU patient survival rates.

This study examines how pruning affects deep learning models for medical image analysis.

Improving accuracy in NVDRS data is vital for effective suicide prevention.

E-LLaGNN improves GNNs by selectively using language models for better performance.

A novel approach to identify patient-specific treatment effectiveness.

Discover how LLMs are shaping time series data insights.

Enhancing rumor detection systems for better fairness and accuracy.