Shuzheng Gao

According to our database, Shuzheng Gao authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection.

Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao, Michael R. Lyu

CoRR, 2024

Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models.

Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu

CoRR, 2024

Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors.

Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Dynamically Relative Position Encoding-Based Transformer for Automatic Code Edit.

Shiyi Qi, Yaoxian Li, Cuiyun Gao, Xiaohong Su, Shuzheng Gao, Zibin Zheng, Chuanyi Liu

IEEE Trans. Reliab., September, 2023

Code Structure-Guided Transformer for Source Code Summarization.

Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia, Michael R. Lyu

ACM Trans. Softw. Eng. Methodol., January, 2023

BadCS: A Backdoor Attack Framework for Code search.

Shiyi Qi, Yuanhang Yang, Shuzheng Gao, Cuiyun Gao, Zenglin Xu

CoRR, 2023

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

Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Michael R. Lyu

CoRR, 2023

REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes.

Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu

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?

Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Hongyu Zhang, Michael R. Lyu

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.

Shuzheng Gao, Hongyu Zhang, Cuiyun Gao, Chaozheng Wang

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.

Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo, Yue Yu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

CARBON: A Counterfactual Reasoning based Framework for Neural Code Comprehension Debiasing.

Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo

CoRR, 2022

2021

Label-Aware Distribution Calibration for Long-tailed Classification.

Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Pengyun Wang, Wenjie Pei, Lujia Pan, Zenglin Xu

CoRR, 2021

Code Structure Guided Transformer for Source Code Summarization.

Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia

CoRR, 2021