Jiawei Han

This paper introduces DeepSyn, a machine learning method for gene functional enrichment that uses a knowledge graph to infer gene functions based on disease and drug context, achieving high accuracy in various applications.

The paper introduces a multi-task learning framework for biomedical named entity recognition that improves performance by sharing information across entity types.

The paper creates a resource platform for clinical case reports, including a dataset, metadata template, and tools to analyze trends and extract medical insights from PubMed case reports.