Fang Liu

Orcid: 0000-0002-3905-8133

Affiliations:

Beihang University, State Key Laboratory of Complex & Critical Software Environment, Beijing, China
Peking University, Key Lab of High Confidence Software Technology, School of Computer Science, Beijing, China

According to our database¹, Fang Liu authored at least 33 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

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Bibliography

2025

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

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., September, 2025

On the Applicability of Code Language Models to Scientific Computing Programs.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., June, 2025

SCodeSearcher: soft contrastive learning for code search.

[BibT_eX]

[DOI]

Empir. Softw. Eng., June, 2025

CodeRAG: Supportive Code Retrieval on Bigraph for Real-World Code Generation.

[BibT_eX]

[DOI]

CoRR, April, 2025

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

[BibT_eX]

[DOI]

CoRR, March, 2025

PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing.

[BibT_eX]

[DOI]

CoRR, January, 2025

Incorporating Verification Standards for Security Requirements Generation from Functional Specifications.

[BibT_eX]

[DOI]

Proc. ACM Softw. Eng., 2025

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

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2025

2024

Non-Autoregressive Line-Level Code Completion.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proc. ACM Softw. Eng., 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Uncovering Weaknesses in Neural Code Generation.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Exploring and Evaluating Hallucinations in LLM-Powered Code Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Deep learning for code generation: a survey.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2024

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Analysis, 2024

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Analysis, 2024

Enhancing Automated Program Repair with Solution Design.

[BibT_eX]

[DOI]

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

FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

A Survey on Natural Language Processing for Programming.

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

Autom. Softw. Eng., June, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

ZC<sup>3</sup>: Zero-Shot Cross-Language Code Clone Detection.

[BibT_eX]

[DOI]

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

MCodeSearcher: Multi-View Contrastive Learning for Code Search.

[BibT_eX]

[DOI]

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

Syntax and Domain Aware Model for Unsupervised Program Translation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2022

Non-autoregressive Model for Full-line Code Completion.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to Recommend Method Names with Global Context.

[BibT_eX]

[DOI]

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

2020

Modeling programs hierarchically with stack-augmented LSTM.

[BibT_eX]

[DOI]

Fang Liu

Lu Zhang

Zhi Jin

J. Syst. Softw., 2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Fang Liu

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