Zhengyu Liu is a Ph.D. student in Computer Science at Johns Hopkins University, advised by Prof. Yinzhi Cao. His research focuses on Web Security, with an emphasis on systematic vulnerability study through automated program analysis techniques, including static/dynamic analysis, and LLM-integrated approaches. His first-author work has been published in top-tier venues such as IEEE S&P 2024 and USENIX Security 2025, and has received the Best Student Paper Award at ICICS 2022. His research has led to the discovery of many zero-day vulnerabilities in widely used software such as Azure CLI, Google Client API Library, and Jupyter Notebook/JupyterLab, resulting in over 30 CVEs in popular open-source projects (>1K Stars in Github) and acknowledgments from Microsoft, Google, Meta, and Ant Group.