Jia Li (李佳)
Logo Ph.D. Student
Logo Assistant Professor (Incoming)

I am a final-year Ph.D. Student at the School of Computer Science, Peking University (PKU). My supervisor is Prof. Zhi Jin and Prof. Ge Li. I expect to graduate in July 2025. My research directions are:

  • Efficient AI, studying how to improve the efficiency of AI models, such as inference efficiency.
  • AI Safety, studying how to improve the robustness of AI models to malicious attacks, such as jailbreaking robustness.
  • Intelligent Software Engineering, studying how to use AI to improve the efficiency of software engineering, such as code generation.

I will join the College of AI at Tsinghua University as an assistant professor in September 2025! I am looking for two PhD students to start in September 2026 and intern students. Feel free to email me with your resume attached.


News
2025
Our paper Line-level Semantic Structure Learning for Code Vulnerability Detection has been accepted by Internetware 2025.
Apr 16
Our paper Escalating LLM-based Code Translation Benchmarking into the Class-level Era has been accepted by ISSTA 2025.
Mar 02
Our paper Large Language Model-Aware In-Context Learning for Code Generation has been accepted by TOSEM 2025.
Jan 02
Selected Publications (view all )
aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing

Siyuan Jiang*, Jia Li*, He Zong, Huanyu Liu, Hao Zhu, Shukai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, Ge Li (* equal contribution)

The 47th International Conference on Software Engineering (ICSE 2025), 2025 CCF-A, Oral

aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing

Siyuan Jiang*, Jia Li*, He Zong, Huanyu Liu, Hao Zhu, Shukai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, Ge Li (* equal contribution)

The 47th International Conference on Software Engineering (ICSE 2025), 2025 CCF-A, Oral

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations

Jia Li, Ge Li, Xuanming Zhang, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li

The 38th Conference on Neural Information Processing Systems (NeurIPS 2024), 2024 CCF-A, Poster

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations

Jia Li, Ge Li, Xuanming Zhang, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li

The 38th Conference on Neural Information Processing Systems (NeurIPS 2024), 2024 CCF-A, Poster

Structured Chain-of-Thought Prompting for Code Generation

Jia Li, Ge Li, Yongmin Li, Zhi Jin

ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 34, Issue 2, Pages 1-23, 21 January 2025 CCF-A

Structured Chain-of-Thought Prompting for Code Generation

Jia Li, Ge Li, Yongmin Li, Zhi Jin

ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 34, Issue 2, Pages 1-23, 21 January 2025 CCF-A

All publications