Shuzheng Gao

According to our database, Shuzheng Gao authored at least 21 papers between 2021 and 2025.

Collaborative distances:

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

2025

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation.

Shuzheng Gao, Chaozheng Wang, Cuiyun Gao, Xiaoqian Jiao, Chun Yong Chong, Shan Gao, Michael R. Lyu

CoRR, January, 2025

Beyond PEFT: Layer-Wise Optimization for More Effective and Efficient Large Code Model Tuning.

Chaozheng Wang, Jia Feng, Shuzheng Gao, Cuiyun Gao, Zongjie Li, Ting Peng, Hailiang Huang, Yuetang Deng, Michael R. Lyu

Proc. ACM Softw. Eng., 2025

Improving long-tail classification via decoupling and regularisation.

Shuzheng Gao, Chaozheng Wang, Cuiyun Gao, Wenjian Luo, Peiyi Han, Qing Liao, Guandong Xu

CAAI Trans. Intell. Technol., 2025

RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry.

Chaozheng Wang, Zezhou Yang, Shuzheng Gao, Cuiyun Gao, Ting Peng, Hailiang Huang, Yuetang Deng, Michael R. Lyu

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Search-Based LLMs for Code Optimization.

Shuzheng Gao, Cuiyun Gao, Wenchao Gu, Michael R. Lyu

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024

Label-Aware Distribution Calibration for Long-Tailed Classification.

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

IEEE Trans. Neural Networks Learn. Syst., May, 2024

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

Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Wenxuan Wang, Chun Yong Chong, Shan Gao, Michael R. Lyu

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

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

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

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.

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

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.

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

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

Reviewers.

Bowen Zeng, Chaozheng Wang, Chunjiong Zhang, Elena Molino-Peña, Jindong Feng, Lei Gan, Shuzheng Gao, Tao Shi, Xin-Cheng Wen, Yishan Chen, Yuanchao Liu, Yujia Chen, Zhuofeng Zhao, Zhangbing Zhou, Yucong Duan, Shizhan Chen, Guobing Zou, Buqing Cao

Proceedings of the IEEE International Conference on Software Services 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

Code Structure Guided Transformer for Source Code Summarization.

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

CoRR, 2021