Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li, Bin Gu, and Mengfei Yang. 2024. DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. In Findings of the 62st Annual Meeting of the Association for Computational Linguistics (ACL 2024), pages 3603–3614. Association for Computational Linguistics.

Jia Li, Ge Li, Xuanming Zhang, Yunfei Zhao, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li. EvoCodeBench: An Evolving Code Generation Benchmark with DomainSpecific Evaluations. In the 38th Conference on Neural Information Processing Systems (NeurIPS 2024), pages 57619-57641.

Jia Li, Yunfei Zhao, Yongmin Li, Ge Li, and Zhi Jin. 2024. AceCoder: An Effective Prompting Technique Specialized in Code Generation. ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 33, Issue 8, Pages 1-26.

Jia Li, Ge Li, Yongmin Li, and Zhi Jin. 2025. Structured Chain-of-Thought Prompting for Code Generation. ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 34, Issue 2, Pages 1-23.

Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, and Xing Hu. 2023. SkCoder: A SketchBased Approach for Automatic Code Generation. In the 45th International Conference on Software Engineering (ICSE 2023). IEEE Press, 2124–2135.

Jia Li, Ge Li, Zhuo Li, Zhi Jin, Xing Hu, Kechi Zhang, and Zhiyi Fu. 2023. CodeEditor: Learning to Edit Source Code with Pre-trained Models. ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 32, Issue 6, Pages 1-22.

Jia Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, and Zhi Jin. 2022. EditSum: a retrieveand-edit framework for source code summarization. In the 36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021). IEEE Press, 155–166.

Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, and Xin Xia. 2024. Poison Attack and Poison Detection on Deep Source Code Processing Models. ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 33, Issue 3, Pages 1-31.

Siyuan Jiang, Jia Li (共同一作), He Zong, Huanyu Liu, Hao Zhu, Shukai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, Gen Wang, Yihong Dong, Kechi Zhang, Ge Li. 2025. aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing. In the 47th International Conference on Software Engineering (ICSE 2025). Just Accepted (December 2024).

Yuqi Zhu, Jia Li, Ge Li, YunFei Zhao, Jia Li, Zhi Jin, and Hong Mei. 2024. Hot or cold? adaptive temperature sampling for code generation with large language models. In the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), Vol. 38. AAAI Press, Article 50, 437–445.

Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, and Zhi Jin. 2022. Fine-tuning pre-trained language models effectively by optimizing subnetworks adaptively. In the 36th International Conference on Neural Information Processing Systems (NeurIPS 2022). Curran Associates Inc., Red Hook, NY, USA, Article 1558, 21442–21454.

Kechi Zhang, Zhuo Li, Jia Li, Ge Li, and Zhi Jin. 2023. Self-Edit: Fault-Aware Code Editor for Code Generation. In the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), pages 769–787. Association for Computational Linguistics.

Kechi Zhang, Ge Li, Jia Li, Yihong Dong, Jia Li, Zhi Jin. 2025. Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points. In Findings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025). Just Accepted (May 2025).

Jia Li, Fang Liu, Jia Li, Yunfei Zhao, Ge Li, and Zhi Jin. 2023. MCodeSearcher: MultiView Contrastive Learning for Code Search. In the 14th Asia-Pacific Symposium on Internetware (Internetware 2023). Association for Computing Machinery, New York, NY, USA, 270–280.

Jia Li, Chongyang Tao, Jia Li, Ge Li, Zhi Jin, Huangzhao Zhang, Zheng Fang, and Fang Liu. 2025. Large Language Model-Aware In-Context Learning for Code Generation. ACM Transactions on Software Engineering and Methodology (TOSEM). Just Accepted (February 2025).

Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, and Ge Li. 2024. Exploring and Unleashing the Power of Large Language Models in Automated Code Translation. In the ACM International Conference on the Foundations of Software Engineering (FSE 2024), Volume 1, Issue FSE, Pages .

Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, and Ge Li. 2024. ZC3: Zero-Shot CrossLanguage Code Clone Detection. In the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023). IEEE Press, 875–887.

Huangzhao Zhang, Kechi Zhang, Zhuo Li, Jia Li, Jia Li, Yongmin Li, Yunfei Zhao, Yuqi Zhu, Fang Liu, Ge Li, Zhi Jin, Deep learning for code generation: a survey, SCIENCE CHINA Information Sciences, Volume 67, Issue 9, 2024, Pages , ISSN 1674-733X.