Jia Li (李佳)
Portrait

I am the tenure-track Assistant Professor of College of AI at Tsinghua University. I obtained my PhD degree from Peking University in 2025, supervised by Prof. Zhi Jin and Prof. Ge Li.

Now, I lead the Tsinghua AI Agent Group and work closely with Prof. Shi-Min Hu. Our group develops Agent OS, an operating system designed to harness foundation models and power autonomous agents in real-world applications, such as coding and computer-use agents. We focus on making these agents more reliable, efficient, and safe.

I am looking for highly-motivated research interns, master students, PhD students and Postdoctoral researchers to join my group. Feel free to email me with your resume attached.

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News
2026
Our two papers (LAVE and PSC) have been accepted by ISSTA 2026.
Jun 25
Our two papers (PackMonitor and Chameleon) have been directly accepted by ISSTA 2026.
Apr 16
Our two papers (VulAgent and EvoCoT) have been accepted by ACL 2026.
Apr 06
Our two papers (VulInstruct and EffiSkel) have been accepted by FSE 2026.
Mar 25
2025
Our paper (DAVSP) has been accepted by AAAI 2026.
Nov 08
Our paper (AdapTrack) has been accepted by ICSE 2026.
Oct 16
Our paper (M2CVD) has been accepted by TOSEM 2025.
Oct 09
Our paper (aiXcoder-7B-v2) has been accepted by ASE 2025.
Sep 26
Congratulations! Four of our papers were accepted by NeurIPS 2025, including one Spotlight and three Poster papers!
Sep 19
I joined the College of AI at Tsinghua University as an assistant professor!
Aug 01
Selected Publications (view all )
SATURN: SAT-based Reinforcement Learning to Unleash Language Model Reasoning

Huanyu Liu, Jia Li, Hao Zhu, Yihong Dong, Kechi Zhang, Ge Li

The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), 2025 Spotlight (3.2%)

[Paper] [Code]

SATURN: SAT-based Reinforcement Learning to Unleash Language Model Reasoning

Huanyu Liu, Jia Li, Hao Zhu, Yihong Dong, Kechi Zhang, Ge Li

The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), 2025 Spotlight (3.2%)

[Paper] [Code]

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), Pages 215-226, 2025

[Paper] [Code]

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), Pages 215-226, 2025

[Paper] [Code]

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

[Paper] [Data]

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

[Paper] [Data]

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

[Paper]

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

[Paper]

All publications