Neural Program Repair : Systems, Challenges and Solutions. - Wenkang Zhong; Chuanyi Li; Jidong Ge; Bin Luo 003 (Internetware, 2022)

StandUp4NPR: Standardizing SetUp for Empirically Comparing Neural Program Repair Systems. - Wenkang Zhong; Hongliang Ge; Hongfei Ai; Chuanyi Li; Kui Liu 001; Jidong Ge; Bin Luo 003 (ASE, 2022)

An Automated and Flexible Multilingual Bug-Fix Dataset Construction System. - Wenkang Zhong; Chuanyi Li; Yunfei Zhang; Ziwen Ge; Jingyu Wang; Jidong Ge; Bin Luo 003 (ASE, 2023)

Practical Program Repair via Preference-based Ensemble Strategy. - Wenkang Zhong; Chuanyi Li; Kui Liu 001; Tongtong Xu; Jidong Ge; Tegawendé F. Bissyandé; Bin Luo 003; Vincent Ng 001 (ICSE, 2024)

RobustNPR: Evaluating the robustness of neural program repair models. - Hongliang Ge; Wenkang Zhong; Chuanyi Li; Jidong Ge; Hao Hu 001; Bin Luo 003 (J. Softw. Evol. Process., 2024)

Benchmarking and Categorizing the Performance of Neural Program Repair Systems for Java. - Wenkang Zhong; Chuanyi Li; Kui Liu 001; Jidong Ge; Bin Luo 003; Tegawendé F. Bissyandé; Vincent Ng 001 (ACM Trans. Softw. Eng. Methodol., 2025)

An empirical study on the code naturalness modeling capability for LLMs in automated patch correctness assessment. - Yuning Li; Wenkang Zhong; Zongwen Shen; Chuanyi Li; Xiang Chen 005; Jidong Ge; Bin Luo 003 (Autom. Softw. Eng., 2025)