Fang Liu

According to our database, Fang Liu authored at least 24 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Non-Autoregressive Line-Level Code Completion.

Fang Liu, Zhiyi Fu, Ge Li, Zhi Jin, Hui Liu, Yiyang Hao, Li Zhang

ACM Trans. Softw. Eng. Methodol., June, 2024

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

Proc. ACM Softw. Eng., 2024

A Multi-Agent Framework for Extensible Structured Text Generation in PLCs.

Donghao Yang, Aolang Wu, Tianyi Zhang, Li Zhang, Fang Liu, Xiaoli Lian, Yuming Ren, Jiaji Tian

CoRR, 2024

Uncovering Weaknesses in Neural Code Generation.

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

CoRR, 2024

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

Qianhui Zhao, Fang Liu, Li Zhang, Yang Liu, Zhen Yan, Zhenghao Chen, Yufei Zhou, Jing Jiang, Ge Li

CoRR, 2024

Exploring and Evaluating Hallucinations in LLM-Powered Code Generation.

Fang Liu, Yang Liu, Lin Shi, Houkun Huang, Ruifeng Wang, Zhen Yang, Li Zhang

CoRR, 2024

Challenges of Using Pre-trained Models: the Practitioners' Perspective.

Xin Tan, Taichuan Li, Ruohe Chen, Fang Liu, Li Zhang

Proceedings of the IEEE International Conference on Software Analysis, 2024

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

Shuo Liu, Jacky Keung, Zhen Yang, Fang Liu, Qilin Zhou, Yihan Liao

Proceedings of the IEEE International Conference on Software Analysis, 2024

Enhancing Automated Program Repair with Solution Design.

Jiuang Zhao, Donghao Yang, Li Zhang, Xiaoli Lian, Zitian Yang, Fang Liu

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

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

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

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, 2024

A Survey on Natural Language Processing for Programming.

Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

AdaComplete: improve DL-based code completion method's domain adaptability.

Zejun Wang, Fang Liu, Yiyang Hao, Zhi Jin

Autom. Softw. Eng., June, 2023

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

Jia Li, Ge Li, Chongyang Tao, Jia Li, Huangzhao Zhang, Fang Liu, Zhi Jin

CoRR, 2023

ZC3: Zero-Shot Cross-Language Code Clone Detection.

Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li

CoRR, 2023

ZC³: Zero-Shot Cross-Language Code Clone Detection.

Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

MCodeSearcher: Multi-View Contrastive Learning for Code Search.

Jia Li, Fang Liu, Jia Li, Yunfei Zhao, Ge Li, Zhi Jin

Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

Syntax and Domain Aware Model for Unsupervised Program Translation.

Fang Liu, Jia Li, Li Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

A unified multi-task learning model for AST-level and token-level code completion.

Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin

Empir. Softw. Eng., 2022

Non-autoregressive Model for Full-line Code Completion.

Fang Liu, Zhiyi Fu, Ge Li, Zhi Jin, Hui Liu, Yiyang Hao

CoRR, 2022

Learning to Recommend Method Names with Global Context.

Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2020

Modeling programs hierarchically with stack-augmented LSTM.

Fang Liu, Lu Zhang, Zhi Jin

J. Syst. Softw., 2020

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

Fang Liu, Ge Li, Yunfei Zhao, Zhi Jin

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

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

Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020