About Me

I am a fourth-year Undergraduate Student (Ranking 1/122) of Big Data and Software Engineering, Chongqing University, China. I have been very fortunate to begin my research journey under the supervision of Prof. Hongyu Zhang in 2023. I will soon begin my Ph.D. studies at Peking University, advised by Prof. Lu Zhang.

📌 My research is in the area of software engineering, in particular, code generation. I am deeply interested in how LLMs can reason and generate human-aligned programming logic. Code bridges abstract intentions with machine-executable behavior.

Rather than solely focusing on incremental improvements or parameter tuning, I aspire to pursue research that advances genuinely new paradigms and challenges prevailing assumptions in both academia and industry. I believe that true scientific progress often requires taking risks, questioning conventions, and exploring directions that may initially seem uncertain or unconventional. My long-term goal is to contribute to work that not only advances performance but also reshapes our fundamental understanding of how intelligent systems perceive, reason, and interact with the world.

I am always open for collaborations! Please feel free to reach out to me on WeChat: Wwstarryluck.

I am actively seeking internship opportunities in industry (2026.4-2026.9). Please feel free to reach out if there might be a suitable opportunity.

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Education

• [2026-2031] Ph.D. in Computer Science, School of Computer Science, Peking University.
• [2022–2026] B.Eng. in Software Engineering, School of Big Data & Software Engineering, Chongqing University.

Selected Publications & Manuscripts

• 

  Toward Functional and Non-Functional Evaluation of Application-Level Code Generation
  Ruwei Pan, Yakun Zhang, Qingyuan Liang, Yueheng Zhu, Chao Liu, Lu Zhang, Hongyu Zhang†
  Measures both functional correctness and non-functional quality.
  Under Review   [Paper]
• 

  Persistent Cross-Attempt State Optimization for Repository-Level Code Generation
  Ruwei Pan, Jiangshuai Wang, Qisheng Zhang, Yueheng Zhu, Linhao Wu, Zixiong Yang, Yakun Zhang, Lu Zhang, Hongyu Zhang†
  Reuses cross-attempt knowledge to improve iterative generation.
  Under Review   [Paper]
• 

  Toward Executable Repository-Level Code Generation via Environment Alignment
  Ruwei Pan, Junlei Shen, Linhao Wu, Yueheng Zhu, Zixiong Yang, Yakun Zhang, Lu Zhang, Hongyu Zhang†
  Aligns dependencies and internal references in real execution environments.
  Under Review   [Paper]

Other Works

• CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
  Ruwei Pan, Hongyu Zhang†, Chao Liu.
  Under Review   [Paper]
• Modularization is Better: Effective Code Generation with Modular Prompting
  Ruwei Pan, Hongyu Zhang†.
  Under Review   [Paper]
• AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code Generation
  Yueheng Zhu, Chao Liu†, Xuan He, Xiaoxue Ren, Zhongxin Liu, Ruwei Pan, Hongyu Zhang.
  IEEE Transactions on Software Engineering (TSE)   [Paper]
• AgentDroid: A Multi-Agent Framework for Detecting Fraudulent Android Applications
  Ruwei Pan, Hongyu Zhang†, Zhonghao Jiang, Ran Hou.
  ASE 2025 Demo Track   [Paper]

Awards & Competitions

• 🎓 National Scholarship (1st out of 122)
• 🏅 Student of the Year, Chongqing University (10 undergraduates selected annually)
• 🏆 National First Prize, China Software Cup (Top 0.3%, Aug 2024)
• 🏆 National First Prize, Mathematical Contest in Modeling (Top 0.45%, Nov 2024)
• 🥈 National Second Prize, Software Innovation Contest (15th nationwide, May 2025)
• 🥈 National Second Prize, China College Students’ Service Outsourcing Innovation and Entrepreneurship Competition (Apr 2024)
• 🌟 Excellent Project, National Undergraduate Innovation Training (Nov 2024)

Community Contribution

I maintain a curated AI4SE Paper Repository collecting recent high-quality research in software engineering. It aims to help researchers and practitioners stay updated with cutting-edge trends.

🔗 Welcome-to-Awesome-AI4SE ⭐80+