Code Structure Guided Transformer for Source Code Summarization. - Shuzheng Gao; Cuiyun Gao 001; Yulan He 001; Jichuan Zeng; Lunyiu Nie; Xin Xia 001 (CoRR, 2021)

CARBON: A Counterfactual Reasoning based Framework for Neural Code Comprehension Debiasing. - Shuzheng Gao; Cuiyun Gao 001; Chaozheng Wang; Jun Sun 001; David Lo 001 (CoRR, 2022)

Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension. - Shuzheng Gao; Cuiyun Gao 001; Chaozheng Wang; Jun Sun 001; David Lo 001; Yue Yu 001 (ICSE, 2023)

Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models. - Shuzheng Gao; Hongyu Zhang 002; Cuiyun Gao 001; Chaozheng Wang (ICSE, 2023)

What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs? - Shuzheng Gao; Xin-Cheng Wen; Cuiyun Gao 001; Wenxuan Wang 001; Hongyu Zhang 002; Michael R. Lyu (ASE, 2023)

REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. - Chaozheng Wang; Zongjie Li; Yun Peng 003; Shuzheng Gao; Sirong Chen; Shuai Wang 011; Cuiyun Gao 001; Michael R. Lyu (ASE, 2023)

Constructing Effective In-Context Demonstration for Code Intelligence Tasks: An Empirical Study. - Shuzheng Gao; Xin-Cheng Wen; Cuiyun Gao 001; Wenxuan Wang 001; Michael R. Lyu (CoRR, 2023)

BadCS: A Backdoor Attack Framework for Code search. - Shiyi Qi; Yuanhang Yang; Shuzheng Gao; Cuiyun Gao 001; Zenglin Xu (CoRR, 2023)

Code Structure-Guided Transformer for Source Code Summarization. - Shuzheng Gao; Cuiyun Gao 001; Yulan He 001; Jichuan Zeng; Lunyiu Nie; Xin Xia 001; Michael R. Lyu (ACM Trans. Softw. Eng. Methodol., 2023)

Dynamically Relative Position Encoding-Based Transformer for Automatic Code Edit. - Shiyi Qi; Yaoxian Li; Cuiyun Gao 001; Xiaohong Su; Shuzheng Gao; Zibin Zheng; Chuanyi Liu (IEEE Trans. Reliab., 2023)

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; et al. (SSE, 2024)

Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. - Shuzheng Gao; Wenxin Mao; Cuiyun Gao 001; Li Li 029; Xing Hu 008; Xin Xia 001; Michael R. Lyu (ICSE, 2024)

Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors. - Yun Peng 003; Shuzheng Gao; Cuiyun Gao 001; Yintong Huo; Michael R. Lyu (ICSE, 2024)

SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection. - Xin-Cheng Wen; Cuiyun Gao 001; Shuzheng Gao; Yang Xiao 011; Michael R. Lyu (ISSTA, 2024)

A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How. - Chaozheng Wang; Shuzheng Gao; Cuiyun Gao 001; Wenxuan Wang 001; Chun Yong Chong; Shan Gao; Michael R. Lyu (ASE, 2024)

Label-Aware Distribution Calibration for Long-Tailed Classification. - Chaozheng Wang; Shuzheng Gao; Pengyun Wang; Cuiyun Gao 001; Wenjie Pei; Lujia Pan; Zenglin Xu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Search-Based LLMs for Code Optimization. - Shuzheng Gao; Cuiyun Gao 001; Wenchao Gu; Michael R. Lyu (ICSE, 2025)

RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry. - Chaozheng Wang; Zezhou Yang; Shuzheng Gao; Cuiyun Gao 001; Ting Peng; Hailiang Huang; Yuetang Deng; Michael R. Lyu (SIGSOFT FSE Companion, 2025)

Improving long-tail classification via decoupling and regularisation. - Shuzheng Gao; Chaozheng Wang; Cuiyun Gao 001; Wenjian Luo; Peiyi Han; Qing Liao 001; Guandong Xu (CAAI Trans. Intell. Technol., 2025)

Beyond PEFT: Layer-Wise Optimization for More Effective and Efficient Large Code Model Tuning. - Chaozheng Wang; Jia Feng; Shuzheng Gao; Cuiyun Gao 001; Zongjie Li; Ting Peng; Hailiang Huang; Yuetang Deng; Michael R. Lyu (Proc. ACM Softw. Eng., 2025)

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation. - Shuzheng Gao; Chaozheng Wang; Cuiyun Gao 001; Xiaoqian Jiao; Chun Yong Chong; Shan Gao; Michael R. Lyu (CoRR, 2025)