Associate Professor · Institute of Information Engineering, Chinese Academy of Sciences
I work at the intersection of software security, systems, and AI, with a focus on intelligent vulnerability discovery, automated exploit generation, program analysis, and real-world security evaluation.
Recent work appears in OOPSLA 2026, EuroSys 2026, NDSS 2026, TOSEM 2026, and USENIX Security 2025, with paper recognitions at ICSE 2024 and USENIX Security 2025.
Led the team in developing VARAS-OneMind, an intelligent cybersecurity agent system. In the cited leaderboard submissions, it ranked #8 on CyberGym with a 96.95% success rate and #7 on ExploitGym with 206 successful exploits. CyberGym project note · ExploitGym project note
Selected recognitions include the ICSE 2024 ACM SIGSOFT Distinguished Paper Award and the USENIX Security 2025 Distinguished Paper Honorable Mention.
A brief academic biography and research overview.
Yeting Li is an Associate Professor at the Institute of Information Engineering, Chinese Academy of Sciences. His research centers on software and system security, especially intelligent vulnerability discovery, automated exploitation, program analysis, fuzzing, and security evaluation. He has published 46 peer-reviewed papers in venues including IEEE S&P, USENIX Security, ACM CCS, NDSS, EuroSys, OOPSLA, ICSE, ASE, and ISSTA, with 22 papers as first author or corresponding author.
李页霆，中国科学院信息工程研究所副研究员，长期从事软件与系统安全研究，重点关注智能化漏洞挖掘、自动化利用生成、程序分析、模糊测试与安全评测。在 IEEE S&P、USENIX Security、ACM CCS、NDSS、EuroSys、OOPSLA、ICSE、ASE、ISSTA 等国际高水平会议和期刊发表同行评审论文 46 篇，其中 22 篇为第一作者或通讯作者。
My work connects theory, systems, and real offensive/defensive needs, with an emphasis on usable automation, rigorous evaluation, and vulnerabilities that matter in practice.
Finding real vulnerabilities in web applications, binaries, firmware, and open-source ecosystems through AI-assisted reasoning, analysis, and testing.
Connecting vulnerability detection, exploit construction, constraint solving, and validation into practical end-to-end security workflows.
Designing static and dynamic analysis techniques for complex software stacks, protocol implementations, and security-critical system components.
Studying low-level systems and exploring how large language models can support code understanding, security testing, and inconsistency discovery.
Representative papers selected from recent years. The complete publication list remains available on a dedicated page.
Representative papers by year / 按年份展示
We welcome master's students, PhD students, postdoctoral researchers, and research interns interested in software and system security.
Typical interests include program analysis, fuzzing, binary analysis, firmware security, compiler/runtime systems, and LLM-based security.
Please email your CV, transcript, representative projects, and a short note about your research interests to liyeting (at) iie (dot) ac (dot) cn.
I contribute to the software security and software engineering communities as a reviewer, program committee member, and journal referee.
Selected recognitions across research, scholarships, and competitive systems work.
ACM SIGSOFT Distinguished Paper Award
Distinguished Paper Honorable Mention
Presidential Scholarship (Excellence Award), 2022 · Special Research Assistant Program, 2022
National Scholarship, 2015 and 2018 · Baidu Third Big Data Competition Excellence Award (7/1393), 2017
