Mining Pull Requests to Detect Process Anomalies in Open Source Software Development. - Bohan Liu; He Zhang 001; Weigang Ma; Hongyu Kuang; Yi Yang; Jinwei Xu; Shan Gao 009; Jian Gao (ICSE, 2024)

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code. - Jia Feng; Jiachen Liu; Cuiyun Gao 001; Chun Yong Chong; Chaozheng Wang; Shan Gao 009; Xin Xia 001 (ASE, 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 009; Michael R. Lyu (ASE, 2024)

A preliminary investigation on using multi-task learning to predict change performance in code reviews. - Lanxin Yang; He Zhang 001; Jinwei Xu; Jun Lyu; Xin Zhou 016; Dong Shao; Shan Gao 009; Alberto Bacchelli (Empir. Softw. Eng., 2024)

Less Is More: On the Importance of Data Quality for Unit Test Generation. - Junwei Zhang; Xing Hu 008; Shan Gao 009; Xin Xia 001; David Lo 001; Shanping Li (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 009; Michael R. Lyu (CoRR, 2025)

Correction to: A preliminary investigation on using multi-task learning to predict change performance in code reviews. - Lanxin Yang; He Zhang 001; Jinwei Xu; Jun Lyu; Xin Zhou 016; Dong Shao; Shan Gao 009; Alberto Bacchelli (Empir. Softw. Eng., 2025)

The Current Challenges of Software Engineering in the Era of Large Language Models. - Cuiyun Gao 001; Xing Hu 008; Shan Gao 009; Xin Xia 001; Zhi Jin 001 (ACM Trans. Softw. Eng. Methodol., 2025)

Clean Code, Better Models: Enhancing LLM Performance with Smell-Cleaned Dataset. - Zhipeng Xue; Xiaoting Zhang; Zhipeng Gao 002; Xing Hu 008; Shan Gao 009; Xin Xia 001; Shanping Li (CoRR, 2025)