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20222026
most citedCode Search based on Context-aware Code Translation

56 citations · 97 across the 12 of their papers we have counts for

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10 papers · 1 filter

cs.SE2026

PuzzleMark: Implicit Jigsaw Learning for Robust Code Dataset Watermarking in Neural Code Completion Models

Haocheng Huang, Yuchen Chen, Weisong Sun +5

Constructing and curating high-quality code datasets requires significant resources, making them valuable intellectual property. Unfortunately, these datasets currently face severe…

cs.SE2026

On the Effectiveness of Code Representation in Deep Learning-Based Automated Patch Correctness Assessment

Quanjun Zhang, Haichuan Hu, Chunrong Fang +5

Automated program repair (APR) attempts to generate correct patches and has drawn wide attention from both academia and industry in the past decades. However, APR is continuously s…

cs.SE2026

Enhancing and Reporting Robustness Boundary of Neural Code Models for Intelligent Code Understanding

Tingxu Han, Wei Song, Weisong Sun +6

With the development of deep learning, Neural Code Models (NCMs) such as CodeBERT and CodeLlama are widely used for code understanding tasks, including defect detection and code cl…

cs.SE2025

Generate Realistic Test Scenes for V2X Communication Systems

An Guo, Xinyu Gao, Chunrong Fang +6

Accurately perceiving complex driving environments is essential for ensuring the safe operation of autonomous vehicles. With the tremendous progress in deep learning and communicat…

cs.SE2025★ 1 cited

Show Me Your Code! Kill Code Poisoning: A Lightweight Method Based on Code Naturalness

Weisong Sun, Yuchen Chen, Mengzhe Yuan +6

Neural code models (NCMs) have demonstrated extraordinary capabilities in code intelligence tasks. Meanwhile, the security of NCMs and NCMs-based systems has garnered increasing at…

cs.SE2024★ 5 cited

Security of Language Models for Code: A Systematic Literature Review

Yuchen Chen, Weisong Sun, Chunrong Fang +7

Language models for code (CodeLMs) have emerged as powerful tools for code-related tasks, outperforming traditional methods and standard machine learning approaches. However, these…

cs.SE2024★ 16 cited

SoVAR: Building Generalizable Scenarios from Accident Reports for Autonomous Driving Testing

An Guo, Yuan Zhou, Haoxiang Tian +7

Autonomous driving systems (ADSs) have undergone remarkable development and are increasingly employed in safety-critical applications. However, recently reported data on fatal acci…

cs.SE2024★ 6 cited

CooTest: An Automated Testing Approach for V2X Communication Systems

An Guo, Xinyu Gao, Zhenyu Chen +5

Perceiving the complex driving environment precisely is crucial to the safe operation of autonomous vehicles. With the tremendous advancement of deep learning and communication tec…

cs.SE2022★ 12 cited

Program Repair: Automated vs. Manual

Quanjun Zhang, Yuan Zhao, Weisong Sun +3

Various automated program repair (APR) techniques have been proposed to fix bugs automatically in the last decade. Although recent researches have made significant progress on the…

cs.SE2022★ 56 cited

Code Search based on Context-aware Code Translation

Weisong Sun, Chunrong Fang, Yuchen Chen +3

Code search is a widely used technique by developers during software development. It provides semantically similar implementations from a large code corpus to developers based on t…