EfficientEdit: Accelerating Code Editing via Edit-Oriented Speculative Decoding

Peiding Wang, Li Zhang, Fang Liu^#, Yinghao Zhu, Wang Xu, Lin Shi^#, Xiaoli Lian, Minxiao Li, Bo Shen, An Fu (^# corresponding author)

40th IEEE/ACM International Conference on Automated Software Engineering (ASE'25), 2025 CCF-A

[Paper] [code]

Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments

Qianhui Zhao, Li Zhang, Fang Liu^#, Yang Liu, Zhen Yan, Zhenghao Chen, Yufei Zhou, Jing Jiang, Ge Li, Zian Sun, Zhongqi Li, Yuchi Ma (^# corresponding author)

Empirical Software Engineering (EMSE'25), 2025 CCF-B

[Paper] [Code]

Learning to Represent Code Semantics

Fang Liu, Ge Li, Qianhui Zhao, Li Zhang^# (^# corresponding author)

Science China Information Sciences (SCIS'25), 2025 CCF-A

[Paper]

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding

Jia Li, Xuyuan Guo, Lei Li, Kechi Zhang, Ge Li^#, Zhengwei Tao, Fang Liu, Chongyang Tao, Yuqi Zhu, Zhi Jin^# (^# corresponding author)

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL'25 main), 2025 CCF-A

[Paper] [Dataset]

Exploring continual learning in code intelligence with domain-wise distilled prompts

Shuo Liu, Jacky Keung, Zhen Yang^#, Fang Liu, Fengji Zhang, Yicheng Sun (^# corresponding author)

Information and Software Technology (IST'25), 2025 CCF-B

[Paper] [Code]

On the Applicability of Code Language Models to Scientific Computing Programs

Qianhui Zhao, Fang Liu^#, Xiao Long, Chengru Wu, Li Zhang^# (^# corresponding author)

IEEE Transactions on Software Engineering (TSE'25), 2025 CCF-A

[Paper] [Code]

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length

Junhang Cheng, Fang Liu^#, Chengru Wu, Li Zhang (^# corresponding author)

Proceedings of the 16th International Conference on Internetware (Internetware'25), 2025 CCF-C

Incorporating Verification Standards for Security Requirements Generation from Functional Specifications

Xiaoli Lian, Shuaisong Wang, Hanyu Zou, Fang Liu, Jiajun Wu, Li Zhang^# (^# corresponding author)

International Conference on the Foundations of Software Engineering (FSE'25), 2025 CCF-A

[Paper] [Code]

SCodeSearcher: Soft Contrastive Learning for Code Search

Jia Li, Zheng Fang, Xianjie Shi, Zhi Jin, Fang Liu, Jia Li, Yunfei Zhao, Ge Li

Empirical Software Engineering (EMSE'25), 2025 CCF-B

[Paper]

Large Language Model-Aware In-Context Learning for Code Generation

Jia Li, Chongyang Tao, Jia Li, Ge Li^#, Zhi Jin^#, Huangzhao Zhang, Zheng Fang, Fang Liu (^# corresponding author)

ACM Transactions on Software Engineering and Methodology (TOSEM'25), 2025 CCF-A

[Paper]

Enhancing Automated Program Repair with Solution Design

Jiuang Zhao*, Donghao Yang*, Li Zhang, Xiaoli Lian^#, Zitian Yang, Fang Liu (* equal contribution, ^# corresponding author)

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering (ASE'24), 2024 CCF-A

[Paper]

FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments

Fang Liu*, Zhenwei Liu*, Qianhui Zhao, Jing Jiang^#, Li Zhang, Zian Sun, Ge Li, Zhongqi Li, Yuchi Ma (* equal contribution, ^# corresponding author)

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering (ASE'24), 2024 CCF-A

[Paper] [Code]

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

Zhen Yang, Fang Liu^#, Zhongxing Yu^#, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, Ge Li (^# corresponding author)

International Conference on the Foundations of Software Engineering (FSE'24), 2024 CCF-A

[Paper] [Code]

Non-Autoregressive Line-Level Code Completion

Fang Liu, Zhiyi Fu, Ge Li, Zhi Jin, Hui Liu, Yiyang Hao, Li Zhang^# (^# corresponding author)

ACM Transactions on Software Engineering and Methodology (TOSEM'24), 2024 CCF-A

[Paper]

Imperfect Code Generation: Uncovering Weaknesses in Automatic Code Generation by Large Language Models

Xiaoli Lian, Shuaisong Wang, Jieping Ma, Xin Tan, Fang Liu, Lin Shi, Cuiyun Gao, Li Zhang

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (ICSE'24 Companion), 2024 CCF-A

[Paper]

Deep learning for code generation: a survey

Huangzhao Zhang, Kechi Zhang, Zhuo Li, Jia Li, Jia Li, Yongmin Li, Yunfei Zhao, Yuqi Zhu, Fang Liu, Ge Li^#, Zhi Jin^# (^# corresponding author)

Science China Information Sciences (SCIS'24), 2024 CCF-A

[Paper]

A Survey on Natural Language Processing for Programming

Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che^# (^# corresponding author)

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING'24), 2024 CCF-B

[Paper]

Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study

Shuo Liu, Jacky Wai Keung, Zhen Yang^#, Fang Liu^#, Qilin Zhou, Yihan Liao (^# corresponding author)

International Conference on Software Analysis, Evolution and Reengineering (SANER'24), 2024 CCF-B

[Paper]

ZC3: Zero-Shot Cross-Language Code Clone Detection

Jia Li, Chongyang Tao, Zhi Jin^#, Fang Liu, Jia Li, Ge Li^# (^# corresponding author)

38th IEEE/ACM International Conference on Automated Software Engineering (ASE'23), 2023 CCF-A

[Paper] [Code]

MCodeSearcher: Multi-View Contrastive Learning for Code Search

Jia Li, Fang Liu, Jia Li, Yunfei Zhao, Ge Li^#, Zhi Jin^# (^# corresponding author)

Proceedings of the 14th Asia-Pacific Symposium on Internetware (Internetware'23), 2023 CCF-C

[Paper]

Syntax and Domain Aware Model for Unsupervised Program Translation

Fang Liu, Jia Li, Li Zhang^# (^# corresponding author)

IEEE/ACM 45th International Conference on Software Engineering (ICSE'23), 2023 CCF-A

[Paper]

Learning to Recommend Method Names with Global Context

Fang Liu, Ge Li^#, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin^# (^# corresponding author)

Proceedings of the 44th International Conference on Software Engineering (ICSE'22), 2022 CCF-A

[Paper] [Code]

Multi-task Learning based Pre-trained Language Model for Code Completion

Fang Liu, Ge Li^#, Yunfei Zhao, Zhi Jin^# (^# corresponding author)

Proceedings of the 35th IEEE/ACM international conference on automated software engineering (ASE'20), 2020 CCF-A

[Paper] [Code]

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning

Fang Liu, Ge Li^#, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin^# (^# corresponding author)

IEEE/ACM 28th International Conference on Program Comprehension (ICPC'20), 2020 CCF-B Distinguished Paper Award

[Paper] [Code]