| 2026 | ACL | Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning. | Yiming Huang, Zhenbo Shi, Shuzheng Gao, Cuiyun Gao, Peiyi Han, Chuanyi Liu |
| 2025 | ICSE | Search-Based LLMs for Code Optimization. | Shuzheng Gao, Cuiyun Gao, Wenchao Gu, Michael R. Lyu |
| 2024 | ICSE | 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 |
| 2024 | ICSE | Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors. | Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu |
| 2024 | ISSTA | SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection. | Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao, Michael R. Lyu |
| 2023 | ICSE | 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 |
| 2023 | ICSE | Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models. | Shuzheng Gao, Hongyu Zhang, Cuiyun Gao, Chaozheng Wang |