Hi, I’m Yuan Li, a PhD student in the ZJU Programming Languages and Automated Reasoning Group at Zhejiang University, advised by Prof. Peisen Yao.

I am now working on broad areas, including programming languages, software engineering, cybersecurity, and artificial intelligence, focusing on topics about the evaluation and optimization of techniques related to static analysis.

🔥 News

2025.04.02: 🎉🎉 Our work on SAST Evaluation has been accepted by FSE 2025.
2024.10.11: 🎉🎉 I passed the Mid-term Assessment of my PhD dissertation research.

📝 Publications

[FSE’25] Understanding Industry Perspectives of Static Application Security Testing (SAST) Evaluation
Yuan Li, Peisen Yao, Kan Yu, Chengpeng Wang, Yaoyang Ye, Song Li, Meng Luo, Yepang Liu, Kui Ren
The ACM International Conference on the Foundations of Software Engineering (CCF A)
🔗 [Paper] 📖 [Codebook]
[TITS’23] Imbalanced Malware Family Classification Using Multimodal Fusion and Weight Self-Learning
Shudong Li, Yuan Li (1st student), Xiaobo Wu, Sattam Al Otaibi, Zhihong Tian
IEEE Transactions on Intelligent Transportation Systems (CCF B, JCR Q1)
🔗 [Paper] 💻 [Code]
[SMPT’21] Malicious Mining Code Detection Based on Ensemble Learning in Cloud Computing Environment
Shudong Li, Yuan Li (1st student), Weihong Han, Xiaojiang Du, Mohsen Guizani, Zhihong Tian
Simulation Modelling Practice and Theory (JCR Q1)
🔗 [Paper] 💻 [Code]

🛠️ Projects

xAST Benchmark: an open-source framework for systematically evaluating application security testing tools, providing standardized evaluation items and test cases to enable objective comparison and further improvement of the tools.
Bold-Falcon: an open-source cloud sandbox for automatically analyzing malware, which conducts a AI-enhanced detection module, providing comprehensive analysis results of malware input.

💬 Talks

2025.06, Understanding Industry Perspectives of Static Application Security Testing (SAST) Evaluation. In the FSE’25 Security Session at Trondheim, Norway. 🔗 [slides]

🧑‍💻 Internships

2022.06-2022.09, Mac Threat Response Team at Trend Micro, Nanjing, China.
2018.05-2018.12, Information Security Technology Department at Cyberguard Technologies, Weihai, China.

🎓 Educations

2023.09 - now, Ph.D. Candidate, The State Key Laboratory of Blockchain and Data Security, Zhejiang University
2020.09 - 2023.06, M.S., The Cyberspace Institute of Advanced Technology, Guangzhou University
2016.09 - 2020.06, B.S., The Department of Computer Science and Technology, Harbin Institute of Technology, Weihai

🎖 Awards

2023.06 Outstanding Graduate
2022.12 National Scholarship
2021.12 Second Prize, CCF BCDI Digital Security Contest
2020.10 Excellent Award, Coremail Email Security Contest
2018.12 Outstanding Undergraduate