Fang Liu

52 papers A* 7A 3Journal 37Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Empirical Study of Parameter-Efficient Fine-Tuning in Code Change Learning and Beyond.
IEEE Trans. Software Eng.
Shuo Liu, Jacky Keung, Zhi Jin, Zhen Yang, Fang Liu, Hao Zhang
2026 J jnl
Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code.
IEEE Trans. Software Eng.
Fang Liu, Yang Liu, Lin Shi, Zhen Yang, Li Zhang, Xiaoli Lian, Zhongqi Li, Yuchi Ma
2026 J jnl
PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing.
ACM Trans. Softw. Eng. Methodol.
Yuwei Zhang, Zhi Jin, Ying Xing, Ge Li, Fang Liu, Jiaxin Zhu, Wensheng Dou, Jun Wei
2026 J jnl
Peer-aided repairer: empowering large language models to repair advanced student assignments.
Empir. Softw. Eng.
Qianhui Zhao, Li Zhang, Fang Liu, Yang Liu, Zhen Yan, Zhenghao Chen, Yufei Zhou, Jing Jiang, Ge Li, Zian Sun, Zhongqi Li, Yuchi Ma
2025 — conf
AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length.
Internetware
Junhang Cheng, Fang Liu, Chengru Wu, Li Zhang
2025 J jnl
Aligning Academia with Industry: An Empirical Study of Industrial Needs and Academic Capabilities in AI-Driven Software Engineering.
CoRR
Hang Yu, Yuzhou Lai, Li Zhang, Xiaoli Lian, Fang Liu, Yanrui Dong, Ting Zhang, Zhi Jin, David Lo
2025 A* conf
AutoPLC: Generating Vendor-Aware Structured Text for Programmable Logic Controllers.
ASE
Donghao Yang, Aolang Wu, Tianyi Zhang, Li Zhang, Xiaoli Lian, Fang Liu, Yuming Ren, Jiaji Tian, Xiaoyin Che
2025 — conf
Benchmarking Long-Context Language Models on Long Code Understanding.
ACL (1)
Jia Li, Xuyuan Guo, Lei Li, Kechi Zhang, Ge Li, Zhengwei Tao, Fang Liu, Chongyang Tao, Yuqi Zhu, Zhi Jin
2025 J jnl
CodeRAG: Supportive Code Retrieval on Bigraph for Real-World Code Generation.
CoRR
Jia Li, Xianjie Shi, Kechi Zhang, Lei Li, Ge Li, Zhengwei Tao, Jia Li, Fang Liu, Chongyang Tao, Zhi Jin
2025 J jnl
Exploring continual learning in code intelligence with domain-wise distilled prompts.
Inf. Softw. Technol.
Shuo Liu, Jacky Keung, Zhen Yang, Fang Liu, Fengji Zhang, Yicheng Sun
2025 J jnl
Incorporating Verification Standards for Security Requirements Generation from Functional Specifications.
CoRR
Xiaoli Lian, Shuaisong Wang, Hanyu Zou, Fang Liu, Jiajun Wu, Li Zhang
2025 J jnl
Incorporating Verification Standards for Security Requirements Generation from Functional Specifications.
Proc. ACM Softw. Eng.
Xiaoli Lian, Shuaisong Wang, Hanyu Zou, Fang Liu, Jiajun Wu, Li Zhang
2025 J jnl
LLM-Driven Collaborative Model for Untangling Commits via Explicit and Implicit Dependency Reasoning.
CoRR
Bo Hou, Xin Tan, Kai Zheng, Fang Liu, Yinghao Zhu, Li Zhang
2025 J jnl
LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding.
CoRR
Jia Li, Xuyuan Guo, Lei Li, Kechi Zhang, Ge Li, Zhengwei Tao, Fang Liu, Chongyang Tao, Yuqi Zhu, Zhi Jin
2025 J jnl
Large Language Model-Aware In-Context Learning for Code Generation.
ACM Trans. Softw. Eng. Methodol.
Jia Li, Chongyang Tao, Jia Li, Ge Li, Zhi Jin, Huangzhao Zhang, Zheng Fang, Fang Liu
2025 J jnl
On the Applicability of Code Language Models to Scientific Computing Programs.
IEEE Trans. Software Eng.
Qianhui Zhao, Fang Liu, Xiao Long, Chengru Wu, Li Zhang
2025 J jnl
PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing.
CoRR
Yuwei Zhang, Zhi Jin, Ying Xing, Ge Li, Fang Liu, Jiaxin Zhu, Wensheng Dou, Jun Wei
2025 J jnl
SCodeSearcher: soft contrastive learning for code search.
Empir. Softw. Eng.
Jia Li, Zheng Fang, Xianjie Shi, Zhi Jin, Fang Liu, Yunfei Zhao, Ge Li
2024 J jnl
A Multi-Agent Framework for Extensible Structured Text Generation in PLCs.
CoRR
Donghao Yang, Aolang Wu, Tianyi Zhang, Li Zhang, Fang Liu, Xiaoli Lian, Yuming Ren, Jiaji Tian
2024 — conf
A Survey on Natural Language Processing for Programming.
LREC/COLING
Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che
2024 A conf
Challenges of Using Pre-trained Models: the Practitioners' Perspective.
SANER
Xin Tan, Taichuan Li, Ruohe Chen, Fang Liu, Li Zhang
2024 J jnl
Challenges of Using Pre-trained Models: the Practitioners' Perspective.
CoRR
Xin Tan, Taichuan Li, Ruohe Chen, Fang Liu, Li Zhang
2024 J jnl
Deep learning for code generation: a survey.
Sci. China Inf. Sci.
Huangzhao Zhang, Kechi Zhang, Zhuo Li, Jia Li, Yongmin Li, Yunfei Zhao, Yuqi Zhu, Fang Liu, Ge Li, Zhi Jin
2024 A conf
Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study.
SANER
Shuo Liu, Jacky Keung, Zhen Yang, Fang Liu, Qilin Zhou, Yihan Liao
2024 J jnl
Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study.
CoRR
Shuo Liu, Jacky Keung, Zhen Yang, Fang Liu, Qilin Zhou, Yihan Liao
2024 A* conf
Enhancing Automated Program Repair with Solution Design.
ASE
Jiuang Zhao, Donghao Yang, Li Zhang, Xiaoli Lian, Zitian Yang, Fang Liu
2024 J jnl
Exploring and Evaluating Hallucinations in LLM-Powered Code Generation.
CoRR
Fang Liu, Yang Liu, Lin Shi, Houkun Huang, Ruifeng Wang, Zhen Yang, Li Zhang
2024 J jnl
Exploring and Unleashing the Power of Large Language Models in Automated Code Translation.
CoRR
Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, Ge Li
2024 J jnl
Exploring and Unleashing the Power of Large Language Models in Automated Code Translation.
Proc. ACM Softw. Eng.
Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, Ge Li
2024 A* conf
FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments.
ASE
Fang Liu, Zhenwei Liu, Qianhui Zhao, Jing Jiang, Li Zhang, Zian Sun, Ge Li, Zhongqi Li, Yuchi Ma
2024 J jnl
FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments.
CoRR
Fang Liu, Zhenwei Liu, Qianhui Zhao, Jing Jiang, Li Zhang, Ge Li, Zian Sun, Zhongqi Li, Yuchi Ma
2024 — conf
Imperfect Code Generation: Uncovering Weaknesses in Automatic Code Generation by Large Language Models.
ICSE Companion
Xiaoli Lian, Shuaisong Wang, Jieping Ma, Xin Tan, Fang Liu, Lin Shi, Cuiyun Gao, Li Zhang
2024 J jnl
Non-Autoregressive Line-Level Code Completion.
ACM Trans. Softw. Eng. Methodol.
Fang Liu, Zhiyi Fu, Ge Li, Zhi Jin, Hui Liu, Yiyang Hao, Li Zhang
2024 J jnl
Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments.
CoRR
Qianhui Zhao, Fang Liu, Li Zhang, Yang Liu, Zhen Yan, Zhenghao Chen, Yufei Zhou, Jing Jiang, Ge Li
2024 J jnl
Uncovering Weaknesses in Neural Code Generation.
CoRR
Xiaoli Lian, Shuaisong Wang, Jieping Ma, Fang Liu, Xin Tan, Li Zhang, Lin Shi, Cuiyun Gao
2023 J jnl
AdaComplete: improve DL-based code completion method's domain adaptability.
Autom. Softw. Eng.
Zejun Wang, Fang Liu, Yiyang Hao, Zhi Jin
2023 J jnl
Large Language Model-Aware In-Context Learning for Code Generation.
CoRR
Jia Li, Ge Li, Chongyang Tao, Jia Li, Huangzhao Zhang, Fang Liu, Zhi Jin
2023 — conf
MCodeSearcher: Multi-View Contrastive Learning for Code Search.
Internetware
Jia Li, Fang Liu, Jia Li, Yunfei Zhao, Ge Li, Zhi Jin
2023 A* conf
Syntax and Domain Aware Model for Unsupervised Program Translation.
ICSE
Fang Liu, Jia Li, Li Zhang
2023 J jnl
Syntax and Domain Aware Model for Unsupervised Program Translation.
CoRR
Fang Liu, Jia Li, Li Zhang
2023 A* conf
ZC
ASE
Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li
2023 J jnl
ZC3: Zero-Shot Cross-Language Code Clone Detection.
CoRR
Jia Li, Chongyang Tao, Zhi Jin, Fang Liu, Jia Li, Ge Li
2022 J jnl
A Survey on Natural Language Processing for Programming.
CoRR
Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che
2022 J jnl
A unified multi-task learning model for AST-level and token-level code completion.
Empir. Softw. Eng.
Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin
2022 A* conf
Learning to Recommend Method Names with Global Context.
ICSE
Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin
2022 J jnl
Learning to Recommend Method Names with Global Context.
CoRR
Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin
2022 J jnl
Non-autoregressive Model for Full-line Code Completion.
CoRR
Fang Liu, Zhiyi Fu, Ge Li, Zhi Jin, Hui Liu, Yiyang Hao
2020 A conf
A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning.
ICPC
Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, Zhi Jin
2020 J jnl
Modeling Programs Hierarchically with Stack-Augmented LSTM.
CoRR
Fang Liu, Lu Zhang, Zhi Jin
2020 J jnl
Modeling programs hierarchically with stack-augmented LSTM.
J. Syst. Softw.
Fang Liu, Lu Zhang, Zhi Jin
2020 A* conf
Multi-task Learning based Pre-trained Language Model for Code Completion.
ASE
Fang Liu, Ge Li, Yunfei Zhao, Zhi Jin
2020 J jnl
Multi-task Learning based Pre-trained Language Model for Code Completion.
CoRR
Fang Liu, Ge Li, Yunfei Zhao, Zhi Jin