Shuzheng Gao
Orcid: 0000-0002-8102-480X
According to our database1,
Shuzheng Gao
authored at least 17 papers
between 2021 and 2024.
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., May, 2024
A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How.
CoRR, 2024
SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
Proceedings of the IEEE International Conference on Software Services Engineering, 2024
2023
IEEE Trans. Reliab., September, 2023
ACM Trans. Softw. Eng. Methodol., January, 2023
Constructing Effective In-Context Demonstration for Code Intelligence Tasks: An Empirical Study.
CoRR, 2023
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
2022
CARBON: A Counterfactual Reasoning based Framework for Neural Code Comprehension Debiasing.
CoRR, 2022
2021