Intro

Hi! My Chinese name is Zhiyuan Li (李志远), and my English name is Zane Lee. I am currently a PhD candidate at the University of Chinese Academy of Sciences (UCAS) and the Institute of Software, Chinese Academy of Science (ISCAS) under the supervision of Prof. Jingzheng Wu and Associate Prof. Xiang Ling. I obtained my Bachelor's degree from School of Artificial Intelligence at Xidian University in 2022.

My research interests include AI systems security and software engineering, etc. Besides, I am also exploring how to use insights from software to improve the robustness of hardware. My current work focuses on the security of deep learning libraries/compilers.

Research Interests

• Security of AI Systems
  • Security of DL libraries/compilers, LLM safety (language models and multi-modal models)
• Fuzz Testing
  • Fuzzing for everything (software and hardware), Fuzzing with LLMs

News

Jun 06, 2025🎉 Our research paper "OptionFuzz: Fuzzing SMT Solvers with Optimized Option Exploration via Large Language Models" was accepted by ICSME 2025. Congrats to Yuhao.

Jun 06, 2025🎉 Our research paper "RMGenie: An LLM-Based Agent Framework for Open Source Software README Generation" was accepted by ICSME 2025. Congrats to Xing.

Apr 01, 2025🏅 We (Hass Lab) won the 1st place at HACK@DATE 2025.

Mar 18, 2025🏅 FUTURE won the ACM SIGSOFT Distinguished Paper Award at ICSE 2025.

Nov 13, 2024🏅 I received the National Scholarship.

Oct 31, 2024🎉 Our research paper "The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep Learning Libraries" was accepted by ICSE 2025.

Publications

• [ICSME'25] OptionFuzz: Fuzzing SMT Solvers with Optimized Option Exploration via Large Language Models
  

         Yuhao Peng, Jingzheng Wu, Xiang Ling, Zhiyuan Li, Tianyue Luo, Yanjun Wu
         In Proceedings of the 41th IEEE International Conference on Software Maintenance and Evolution, Auckland, New Zealand
  

• [ICSME'25] RMGenie: An LLM-Based Agent Framework for Open Source Software README Generation
  

         Xing Cui, Jingzheng Wu, Zhiyuan Li, Tianyue Luo, Xiang Ling
         In Proceedings of the 41th IEEE International Conference on Software Maintenance and Evolution, Auckland, New Zealand
  

• [ICSE'25] The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective
  

        Deep Learning Libraries
         [Paper] [Artifact]
         Zhiyuan Li, Jingzheng Wu, Xiang Ling, Tianyue Luo, Zhiqing Rui, Yanjun Wu
         In Proceedings of the 47th ACM SIGSOFT International Conference on Software Engineering, Ottawa, Canada
         🏆 ACM SIGSOFT Distinguished Paper Award