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 50 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Are They All Good? Evaluating the Quality of CoTs in LLM-Based Code Generation.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., June, 2026

MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair.

[BibT_eX]

[DOI]

CoRR, May, 2026

Peer-aided repairer: empowering large language models to repair advanced student assignments.

[BibT_eX]

[DOI]

Empir. Softw. Eng., April, 2026

Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., March, 2026

An Empirical Study of Parameter-Efficient Fine-Tuning in Code Change Learning and Beyond.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., January, 2026

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

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., January, 2026

2025

Aligning Academia with Industry: An Empirical Study of Industrial Needs and Academic Capabilities in AI-Driven Software Engineering.

[BibT_eX]

[DOI]

CoRR, December, 2025

Towards Realistic Project-Level Code Generation via Multi-Agent Collaboration and Semantic Architecture Modeling.

[BibT_eX]

[DOI]

CoRR, November, 2025

SecureReviewer: Enhancing Large Language Models for Secure Code Review through Secure-aware Fine-tuning.

[BibT_eX]

[DOI]

CoRR, October, 2025

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

[BibT_eX]

[DOI]

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

An Empirical Study on Failures in Automated Issue Solving.

[BibT_eX]

[DOI]

CoRR, September, 2025

LLM-Driven Collaborative Model for Untangling Commits via Explicit and Implicit Dependency Reasoning.

[BibT_eX]

[DOI]

CoRR, July, 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

Reuse or Generate? Accelerating Code Editing via Edit-Oriented Speculative Decoding.

[BibT_eX]

[DOI]

CoRR, 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

CodeSwift: Accelerating LLM Inference for Efficient Code Generation.

[BibT_eX]

[DOI]

CoRR, February, 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

FastCoder: Accelerating Repository-level Code Generation via Efficient Retrieval and Verification.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

AutoPLC: Generating Vendor-Aware Structured Text for Programmable Logic Controllers.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

EfficientEdit: Accelerating Code Editing via Edit-Oriented Speculative Decoding.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Internetware, 2025

Benchmarking Long-Context Language Models on Long Code Understanding.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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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