Miaoqian Lin
林妙倩
Github: yuuoniy
Email: linmq006@gmail.com
Address: No.19 Shucun Road, Haidian District, Beijing China
Miaoqian Lin
林妙倩
Github: yuuoniy
Email: linmq006@gmail.com
Address: No.19 Shucun Road, Haidian District, Beijing China
I am currently a fifth-year Ph.D student in the University of Chinese Academy of Sciences, supervised by Prof. Kai Chen. My research focuses on software security, program analysis, and AI for security, with the goal of enhancing software security to protect users from severe threats.
Specifically, I have designed and implemented automated analysis tools for large-scale bug detection. My work has detected hundreds of previously unknown security bugs in widely used programs, including the Linux kernel and QEMU. Additionally, I collaborate closely with developers to address these bugs to mitigate potential threats. My research has been published in top-tier security conferences, such as Usenix Security and NDSS.
Education
Chinese Academy of Sciences, Ph.D. in Cyber Security (2020.09~now)
Sun Yat-Sen University, B.S. in Software Engineering (2016.09 – 2020.06)
Experience
Security Development Intern. Tencent Keen Security Lab, 2021
Publications
[NDSS 2025] Miaoqian Lin, Kai Chen, Yi Yang, Jinghua Liu. "Uncovering the iceberg from the tip: Generating API Specifications for Bug Detection via Specification Propagation Analysis." [Paper][Code] (Artifact Available;Functional;Reproduced)
[NDSS 2025] Jinghua Liu, Yi Yang, Kai Chen, Miaoqian Lin."Generating API Parameter Security Rules with LLM for API Misuse Detection." [Paper][Code]
[NDSS 2025] Yi Yang, Jinghua Liu, Kai Chen, Miaoqian Lin."The Midas Touch: Triggering the Capability of LLMs for RM-API Misuse Detection" [Paper]
[TIFS 2024] Dandan Xu, Kai Chen, Miaoqian Lin, Chaoyang Lin, XiaoFeng Wang. "AutoPwn: Artifact-assisted Heap Exploit Generation for CTF PWN Competitions" [Paper]
[USENIX Security 2023] Miaoqian Lin, Kai Chen, Yang Xiao. "Detecting API Post-Handling Bugs Using Code and Description in Patches" [Paper][Code]
Teaching
Spring 2024: Software Security (TA)