Zeyu Gao

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit

2022 · 2022 IEEE International Conference on Data Mining (ICDM)

Patient similarity measurement is an essential step in discovering clinically meaningful subgroups and building case retrieval systems. Most existing studies implement this procedure using similarity measurement algorithms on the multivariate clinical time-series (input space) or …

How Far Have We Gone in Vulnerability Detection Using Large Language Models

2023 · arXiv (Cornell University)

As software becomes increasingly complex and prone to vulnerabilities, automated vulnerability detection is critically important, yet challenging. Given the significant successes of large language models (LLMs) in various tasks, there is growing anticipation of their …