GUI Software Fault Localization Using N-gram Analysis. - Zhongxing Yu; Hai Hu; Chenggang Bai; Kai-Yuan Cai; W. Eric Wong (HASE, 2011)

3-Way GUI Test Cases Generation Based on Event-Wise Partitioning. - Jing Feng; Bei-Bei Yin; Kai-Yuan Cai; Zhongxing Yu (QSIC, 2012)

Mutation-oriented test data augmentation for GUI software fault localization. - Zhongxing Yu; Chenggang Bai; Kai-Yuan Cai (Inf. Softw. Technol., 2013)

Does the Failing Test Execute a Single or Multiple Faults? An Approach to Classifying Failing Tests. - Zhongxing Yu; Chenggang Bai; Kai-Yuan Cai (ICSE (1), 2015)

The Emerging Field of Test Amplification: A Survey. - Benjamin Danglot; Oscar Vera-Perez; Zhongxing Yu; Martin Monperrus; Benoit Baudry (CoRR, 2017)

Test Case Generation for Program Repair: A Study of Feasibility and Effectiveness. - Zhongxing Yu; Matias Martinez; Benjamin Danglot; Thomas Durieux; Martin Monperrus (CoRR, 2017)

Exhaustive Exploration of the Failure-oblivious Computing Search Space. - Thomas Durieux; Youssef Hamadi; Zhongxing Yu; Martin Monperrus (CoRR, 2017)

How to design a program repair bot?: insights from the repairnator project. - Simon Urli; Zhongxing Yu; Lionel Seinturier; Martin Monperrus (ICSE (SEIP), 2018)

Exhaustive Exploration of the Failure-Oblivious Computing Search Space. - Thomas Durieux; Youssef Hamadi; Zhongxing Yu; Benoit Baudry; Martin Monperrus (ICST, 2018)

Characterizing the Usage and Impact of Java Annotations Over 1000+ Projects. - Zhongxing Yu; Chenggang Bai; Lionel Seinturier; Martin Monperrus (CoRR, 2018)

Learning the Relation between Code Features and Code Transforms with Structured Prediction. - Zhongxing Yu; Matias Martinez; Tegawendé F. Bissyandé; Martin Monperrus (CoRR, 2019)

Alleviating patch overfitting with automatic test generation: a study of feasibility and effectiveness for the Nopol repair system. - Zhongxing Yu; Matias Martinez; Benjamin Danglot; Thomas Durieux; Martin Monperrus (Empir. Softw. Eng., 2019)

A snowballing literature study on test amplification. - Benjamin Danglot; Oscar Vera-Perez; Zhongxing Yu; Andy Zaidman; Martin Monperrus; Benoit Baudry (J. Syst. Softw., 2019)

R-Hero: A Software Repair Bot based on Continual Learning. - Benoit Baudry; Zimin Chen; Khashayar Etemadi; Han Fu; Davide Ginelli; Steve Kommrusch; Matias Martinez; Martin Monperrus; Javier Ron; He Ye; Zhongxing Yu (CoRR, 2020)

Megadiff: A Dataset of 600k Java Source Code Changes Categorized by Diff Size. - Martin Monperrus; Matias Martinez; He Ye; Fernanda Madeiral; Thomas Durieux; Zhongxing Yu (CoRR, 2021)

A Software-Repair Robot Based on Continual Learning. - Benoit Baudry; Zimin Chen; Khashayar Etemadi; Han Fu; Davide Ginelli; Steve Kommrusch; Matias Martinez; Martin Monperrus; Javier Ron Arteaga; He Ye; Zhongxing Yu (IEEE Softw., 2021)

Characterizing the Usage, Evolution and Impact of Java Annotations in Practice. - Zhongxing Yu; Chenggang Bai; Lionel Seinturier; Martin Monperrus (IEEE Trans. Software Eng., 2021)

Pre-training Code Representation with Semantic Flow Graph for Effective Bug Localization. - Yali Du 002; Zhongxing Yu (ESEC/SIGSOFT FSE, 2023)

Understanding Solidity Event Logging Practices in the Wild. - Lantian Li; Yejian Liang; Zhihao Liu; Zhongxing Yu (ESEC/SIGSOFT FSE, 2023)

Learning the Relation Between Code Features and Code Transforms With Structured Prediction. - Zhongxing Yu; Matias Martinez; Zimin Chen; Tegawendé F. Bissyandé; Martin Monperrus (IEEE Trans. Software Eng., 2023)

NARRepair: Non-Autoregressive Code Generation Model for Automatic Program Repair. - Zhenyu Yang; Zhen Yang; Zhongxing Yu (CoRR, 2024)

Exploring and Lifting the Robustness of LLM-powered Automated Program Repair with Metamorphic Testing. - Pengyu Xue; Linhao Wu; Zhen Yang 022; Xinyi Li; Zhongxing Yu; Zhi Jin; Ge Li 001; Yan Xiao 002; Jingwen Wu (CoRR, 2024)

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation. - Zhen Yang 022; Fang Liu 032; Zhongxing Yu; Jacky Wai Keung; Jia Li 011; Shuo Liu; Yifan Hong; Xiaoxue Ma; Zhi Jin; Ge Li 001 (Proc. ACM Softw. Eng., 2024)

Automated Commit Message Generation With Large Language Models: An Empirical Study and Beyond. - Pengyu Xue; Linhao Wu; Zhongxing Yu; Zhi Jin; Zhen Yang; Xinyi Li; Zhenyu Yang; Yue Tan (IEEE Trans. Software Eng., 2024)

Compiler Optimization Testing Based on Optimization-Guided Equivalence Transformations. - Jingwen Wu; Jiajing Zheng; Zhenyu Yang; Zhongxing Yu (SIGSOFT FSE Companion, 2025)

Parameter-Efficient Fine-Tuning with Attributed Patch Semantic Graph for Automated Patch Correctness Assessment. - Zhenyu Yang; Jingwen Wu; Zhen Yang; Zhongxing Yu (CoRR, 2025)

Rethinking the effects of data contamination in Code Intelligence. - Zhen Yang; Hongyi Lin; Yifan He; Jie Xu; Zeyu Sun; Shuo Liu; Pengpeng Wang; Zhongxing Yu; Qingyuan Liang (CoRR, 2025)

Solsmith: Solidity Random Program Generator for Compiler Testing. - Lantian Li; Zhihao Liu; Zhongxing Yu (CoRR, 2025)

IDOL: Improved Different Optimization Levels Testing for Solidity Compilers. - Lantian Li; Yejian Liang; Zhongxing Yu (CoRR, 2025)

Understanding Inconsistent State Update Vulnerabilities in Smart Contracts. - Lantian Li; Yuyu Chen; Jingwen Wu; Yue Pan; Zhongxing Yu (CoRR, 2025)