Li Lin's HomePage

Master's student @Xiamen University
Supervised by Prof. Rongxin Wu
System and Software Security Group
Department of Computer Science and Technology

E-Mail: linli1210@stu.xmu.edu.cn

I am on the academic job market for the 2024 - 2025 cycle! Here is my Curriculum Vitae.

Research Interests

Software security, Database, LLM Quality Assurance and Third-party ecosystem.
Currently, I am researching database security and reliability using software testing techniques such as metamorphic testing, while also exploring LLM-aided automation for DBMS testing across diverse SQL dialects. Additionally, I explore the security and quality assurance aspects of LLMs, such as correctness and compatibility issues in code generation.

Education

2022-09 ~ 2025.06
Master's degree in Computer Science and Technology, Xiamen University
2018-09 ~ 2022-06
Bachelor's degree in Computer Science and Technology, Xiamen University

Publications

  1. QTRAN: Extending Metamorphic-Oracle based Logical Bug Detection Techniques for Multiple-DBMS Dialect Support
    Li Lin, Qinglin Zhu, Hongqiao Chen, Zhuangda Wang, Rongxin Wu and Xiaoheng Xie
    ISSTA 2025: The ACM SIGSOFT International Symposium on Software Testing and Analysis, June, 2025.
    [PDF | GitHub]
  2. PATEN: Identifying Unpatched Third-Party APIs via Fine-grained Patch-enhanced AST-level Signature
    Li Lin, Jialin Ye, Chao Wang, and Rongxin Wu
    TSE 2025: IEEE Transactions on Software Engineering, vol. 51, no. 4, pp. 990-1006 , Apr. 2025.
    [PDF | GitHub]
  3. SQLess: Dialect-Agnostic SQL Query Simplification
    Li Lin, Zongyin Hao, Chengpeng Wang, Zhuangda Wang, Rongxin Wu, Gang Fan.
    ISSTA 2024: The ACM SIGSOFT International Symposium on Software Testing and Analysis, September, 2024
    [PDF | GitHub]
    4. # means equal contribution. * means corresponding author.

Patents

Patent No: CN119807057A
Large Language Model-Based Method, Apparatus, and Computer-Readable Medium for Database Test Case Expansion.
Patent No: CN118035274A
The method and device for processing SQL statements.
Patent No: CN115016840B
Method and Device for Dependency Conflict Resolution Based on Call Graph
Patent No: CN114780109B
Method for automated parsing and installation of third-party library dependencies in Python projects.

Industry Experience

Ant Group, Shenzhen, China (May 2024 - Aug 2024): Research Intern, working on LLM-aided bug detection.

Talks

  • Automating and Enhancing DBMS Testing: From SQL Generation and Transformation to Simplification (invited talk), hosted by Cyber Security Research Center, Nanyang Technological University, Singapore, Jan 2025
  • Bug detection in DBMS (invited talk), hosted by AntGroup, ShenZhen, May 2024
  • SQLess: Dialect-agnostic SQL Query Simplification (invited talk), hosted by AntGroup, ChengDu, Jun 2024
  • SQLess: Dialect-agnostic SQL Query Simplification (conference talk), hosted by Issta24, Vienna, Sep 2024
  • SQLess: Dialect-agnostic SQL Query Simplification (invited talk), hosted by Ant Technology Research Institute, Online (Public), Nov 2024

    • Honors

    2025-06
    Outstanding Master’s Graduate of Xiamen University
    2025-06
    Award for Outstanding Master’s Thesis
    2024-12
    Outstanding Paper of the 2024 Annual Academic Conference of the Fujian Computer Society
    2024
    National Scholarship
    2021-2022
    Outstanding Academic Scholarship, Department of Computer Science and Technology, Xiamen University
    2019-2020
    Outstanding Academic Scholarship, Department of Computer Science and Technology, Xiamen University

    --- Updated in 13 April 2025 ---