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Chong WANG
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A learning-based approach for automatic construction of domain glossary from source code and documentation
C Wang, X Peng, M Liu, Z Xing, X Bai, B Xie, T Wang
Proceedings of the 2019 27th ACM joint meeting on european software …, 2019
602019
Reducing bug triaging confusion by learning from mistakes with a bug tossing knowledge graph
Y Su, Z Xing, X Peng, X Xia, C Wang, X Xu, L Zhu
2021 36th IEEE/ACM International Conference on Automated Software …, 2021
262021
Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation
C Wang, J Zhang, Y Feng, T Li, W Sun, Y Liu, X Peng
arXiv preprint arXiv:2401.06391, 2024
202024
An Empirical Study of Automated Vulnerability Localization with Large Language Models
J Zhang, C Wang, A Li, W Sun, C Zhang, W Ma, Y Liu
arXiv preprint arXiv:2404.00287, 2024
152024
Malicious Package Detection in NPM and PyPI using a Single Model of Malicious Behavior Sequence
J Zhang, K Huang, B Chen, C Wang, Z Tian, X Peng
arXiv preprint arXiv:2309.02637, 2023
122023
Xcos: Explainable code search based on query scoping and knowledge graph
C Wang, X Peng, Z Xing, Y Zhang, M Liu, R Luo, X Meng
ACM Transactions on Software Engineering and Methodology 32 (6), 1-28, 2023
112023
Boosting Static Resource Leak Detection via LLM-based Resource-Oriented Intention Inference
C Wang, J Liu, X Peng, Y Liu, Y Lou
arXiv preprint arXiv:2311.04448, 2023
82023
Deepanna: Deep learning based java annotation recommendation and misuse detection
Y Liu, Y Yan, C Sha, X Peng, B Chen, C Wang
2022 IEEE International Conference on Software Analysis, Evolution and …, 2022
82022
Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities
X Chen, X Hu, Y Huang, H Jiang, W Ji, Y Jiang, Y Jiang, B Liu, H Liu, X Li, ...
arXiv preprint arXiv:2410.13110, 2024
72024
A Prompt Learning Framework for Source Code Summarization
W Sun, C Fang, Y You, Y Chen, Y Liu, C Wang, J Zhang, Q Zhang, H Qian, ...
arXiv preprint arXiv:2312.16066, 2023
72023
Semantic-guided Prompt Organization for Universal Goal Hijacking against LLMs
Y Huang, C Wang, X Jia, Q Guo, F Juefei-Xu, J Zhang, G Pu, Y Liu
arXiv preprint arXiv:2405.14189, 2024
62024
Generating variable explanations via zero-shot prompt learning
C Wang, Y Lou, J Liu, X Peng
2023 38th IEEE/ACM International Conference on Automated Software …, 2023
62023
Beyond literal meaning: Uncover and explain implicit knowledge in code through wikipedia-based concept linking
C Wang, X Peng, Z Xing, X Meng
IEEE Transactions on Software Engineering 49 (5), 3226-3240, 2023
62023
Learning based and context aware non-informative comment detection
M Liu, Y Yang, X Peng, C Wang, C Zhao, X Wang, S Xing
2020 IEEE International Conference on Software Maintenance and Evolution …, 2020
42020
Tiger: A generating-then-ranking framework for practical python type inference
C Wang, J Zhang, Y Lou, M Liu, W Sun, Y Liu, X Peng
arXiv preprint arXiv:2407.02095, 2024
22024
Mining resource-operation knowledge to support resource leak detection
C Wang, Y Lou, X Peng, J Liu, B Zou
Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023
22023
Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework
C Wang, Z Chen, T Li, Y Zhao, Y Liu
arXiv preprint arXiv:2410.09048, 2024
12024
LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation
Z Zhang, Y Wang, C Wang, J Chen, Z Zheng
arXiv preprint arXiv:2409.20550, 2024
12024
How and Why LLMs Use Deprecated APIs in Code Completion? An Empirical Study
C Wang, K Huang, J Zhang, Y Feng, L Zhang, Y Liu, X Peng
arXiv preprint arXiv:2406.09834, 2024
12024
VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair
J Zhang, C Wang, A Li, W Wang, T Li, Y Liu
Proceedings of the 39th IEEE/ACM International Conference on Automated …, 2024
2024
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