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Feng-Jay/README.md

🌟 Hi there, I'm Feng-Jay

Feng-Jay

Feng-Jay

👋 About Me

Hi, I'm Fengjie Li, currently a postgraduate student at the Software Analysis and Intelligent Lab (SAIL) in the College of Intelligence and Computing at Tianjin University, working towards alleviating the pain of bug fixing. Earlier, I graduated with Bachelor Degree in Computer Science from Tianjin University. I enjoy reading, running, and playing video games in my spare time.

💡 My Interest

I am interested in Automated Program Repair (APR), with a broader research passion for Program Analysis—a discipline that enables deep insights into source code. Specifically, I am motivated by developing tools and techniques that reduce the burden on programmers by automating the bug-fixing process they face in daily development. Over the years, I have been building developer-assistance tools through collaborative research at the intersection of Software Engineering, Machine Learning, and Program Analysis.

⛰️ My Goal

😎 Learning:

  • Program Analysis, AST Travelsal & Matching, LLMs.

💪 Struggling:

  • Successfully obtained a master's degree.
  • Improving problem-solving abilities in programming.

🎮 Gaming:

  • Elden Ring💍, The Legend of Zelda: Tears of the Kingdom, Overwatch2...

Looking forward to game friends🤗 PlayStation ID: FFengJay; Nintendo Switch: SW-1513-8374-2230.

😂 Last 7 Days' Coding Time 👇

From: 10 October 2026 - To: 17 October 2026

No activity tracked

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  1. Ko-oK-OS/xv6-rust Ko-oK-OS/xv6-rust Public

    🦀️ Reimplement xv6-riscv in Rust!

    Rust 374 34

  2. GiantRepair GiantRepair Public

    Artifact for TOSEM Submission: GiantRepair

    Java 12 1

  3. Defects4J_Trans Defects4J_Trans Public

    Bug dataset provided for ChinaSoft 2025 APR Competition

    Perl 11 2

  4. r_agent r_agent Public

    r_agent is an agent framework for building AI workflows with rust.

    Rust 3 1

  5. Feng-Jay.github.io Feng-Jay.github.io Public

    My academic page

    JavaScript

  6. LLM4Security LLM4Security Public

    Artifact for TSE Submission: LLM-based Vulnerability Detection at Project Scale: An Empirical Study

    Python 9 1