Name:Chen Lyu

Bio:

Associate Professor, School of Information Science & Engineering, Shandong Normal University

From explainable to auditable code — guided by rules, measured by evidence. （不以规矩，不能成方圆）

I work at the intersection of intelligent software engineering and software security, with a current focus on trustworthy code generation. My group studies white-box, auditable generation pipelines that unify correctness × efficiency × security × auditability, embedding decisions and evidence into the generation process to move from explainable to auditable code. We also build repo-level analyses and benchmarks for LLM→CodeQL generation/evaluation and study LLM security for code.

Current Focus

• Trustworthy code generation (white-box, auditable pipelines)
• Unified metrics: correctness × efficiency × security × auditability
• Repo-level benchmarks & analyses for LLM→CodeQL
• LLM security for code (attacks, defenses, evaluation)

Country:China

Affiliation:Shandong Normal University

Research interests:Program comprehension; Code generation; Reinforcement learning