Shuzheng Gao

Orcid: 0000-0002-8102-480X

According to our database1, Shuzheng Gao authored at least 17 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Label-Aware Distribution Calibration for Long-Tailed Classification.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How.
CoRR, 2024

Search-Based LLMs for Code Optimization.
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


2023
Dynamically Relative Position Encoding-Based Transformer for Automatic Code Edit.
IEEE Trans. Reliab., September, 2023

Code Structure-Guided Transformer for Source Code Summarization.
ACM Trans. Softw. Eng. Methodol., January, 2023

BadCS: A Backdoor Attack Framework for Code search.
CoRR, 2023

Constructing Effective In-Context Demonstration for Code Intelligence Tasks: An Empirical Study.
CoRR, 2023

REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?
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
Code Structure Guided Transformer for Source Code Summarization.
CoRR, 2021


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