About Me
I’m a first-year Ph.D. student at the Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), advised by Prof. Michael R. Lyu. I got my Master’s degree from Harbin Institute of Technology Shenzhen in June 2023, under the supervision of Prof. Cuiyun Gao. Before that, I received my Bachelor’s degree from Harbin Institute of Technology Weihai in June 2021. My research interests mainly focus on software engineering and code intelligence.
News
- 2024.08 🎉🎉 One Paper “A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How” is directly accepted by ASE 2024!
- 2024.07 🎉🎉 One Paper “Search-Based LLMs for Code Optimizationn” is directly accepted by ICSE 2025 without revision, with an acceptance rate of 8.8% (46/523)!
- 2024.03 🎉🎉 One Paper “SCALE: Constructing Symbolic Comment Trees for Software Vulnerability Detection” is accepted by ISSTA 2024!
- 2023.12 🎉🎉 One Paper “Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models” is accepted by ICSE 2024!
- 2023.07 🎉🎉 One Paper “What Makes Good In-context Demonstrations for Code Intelligence Tasks with LLMs?” is accepted by ASE 2023!
- 2023.06 🎉🎉 One Paper “Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors” is accepted by ICSE 2024!
Selected Publications
[ICSE’25] Search-Based LLMs for Code Optimization (CCF-A)
Shuzheng Gao, Cuiyun Gao, Wenchao Gu and Michael R. Lyu[ICSE’24] Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models (CCF-A)
Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia and Michael R. Lyu | [Arxiv] | [Code][ASE’23] What Makes Good In-context Demonstrations for Code Intelligence Tasks with LLMs? (CCF-A)
Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Hongyu Zhang and Michael R. Lyu | [Arxiv] | [Code][ICSE’24] Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors (CCF-A)
Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo and Michael R. Lyu | [Arxiv] | [Code][ICSE’23] Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension (CCF-A)
Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo and Yue Yu | [Arxiv] | [Code][ICSE’23] Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models (CCF-A)
Shuzheng Gao, Hongyu Zhang, Cuiyun Gao and Chaozheng Wang | [Arxiv] | [Code][TOSEM’23] Code Structure Guided Transformer for Source Code Summarization (CCF-A)
Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lun Yiu Nie, Xin Xia and Michael R. Lyu | [Arxiv] | [Code]
Selected Awards
- Postgraduate Studentship Award, CUHK, 2023
- Distinguished Paper Award, ASE-Inch, 2023
- Best Student Paper Award, ACAIT, 2022
- Outstanding Graduates of Harbin Institute of Technology, 2021
- National Scholarship, Ministry of Education, 2019