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.

I will join the College of AI at Tsinghua University as an assistant professor in August 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.

My research directions include:

  • Intelligent Software Engineering (AI for SE), studying how to use AI to improve the efficiency and quality of software engineering, such as code generation, test generation, and code optimization.
  • AI Safety, studying how to improve the robustness of AI systems to malicious attacks, such as poisoning attacks and jailbreak attacks.


News
2025
I passed the defense of my PhD thesis!
May 22
Congratulation, our two papers are accepted by ACL 2025!
May 16
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 SEIP Track), 2025 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 SEIP Track), 2025 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 D&B Track), 2024

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 D&B Track), 2024

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

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

All publications