Understanding the Non-Repairability Factors of Automated Program Repair Techniques. - Bo Lin; Shangwen Wang; Ming Wen 001; Zhang Zhang 005; Hongjun Wu; Yihao Qin; Xiaoguang Mao (APSEC, 2020)

Automated Patch Correctness Assessment: How Far are We? - Shangwen Wang; Ming Wen 001; Bo Lin; Hongjun Wu; Yihao Qin; Deqing Zou; Xiaoguang Mao; Hai Jin 001 (ASE, 2020)

Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling. - Steffen Herbold; Alexander Trautsch; Benjamin Ledel; Alireza Aghamohammadi; Taher Ahmed Ghaleb; Kuljit Kaur Chahal; Tim Bossenmaier; Bhaveet Nagaria; Philip Makedonski; Matin Nili Ahmadabadi; Kristóf Szabados; Helge Spieker; et al. (CoRR, 2020)

Multistep Dynamic Slow Feature Analysis for Industrial Process Monitoring. - Xin Ma; Yabin Si; Zeyi Yuan; Yihao Qin; Youqing Wang (IEEE Trans. Instrum. Meas., 2020)

Innovation Neural Component Analysis for Monitoring Nonlinear and Dynamic Processes. - Zeyi Yuan; Qing Chen; Yihao Qin; Youqing Wang (CAA SAFEPROCESS, 2021)

Peculiar: Smart Contract Vulnerability Detection Based on Crucial Data Flow Graph and Pre-training Techniques. - Hongjun Wu; Zhuo Zhang 007; Shangwen Wang; Yan Lei; Bo Lin; Yihao Qin; Haoyu Zhang; Xiaoguang Mao (ISSRE, 2021)

On the Impact of Flaky Tests in Automated Program Repair. - Yihao Qin; Shangwen Wang; Kui Liu 001; Xiaoguang Mao; Tegawendé F. Bissyandé (SANER, 2021)

Peeler: Learning to Effectively Predict Flakiness without Running Tests. - Yihao Qin; Shangwen Wang; Kui Liu 001; Bo Lin; Hongjun Wu; Li Li 029; Xiaoguang Mao; Tegawendé F. Bissyandé (ICSME, 2022)

A fine-grained data set and analysis of tangling in bug fixing commits. - Steffen Herbold; Alexander Trautsch; Benjamin Ledel; Alireza Aghamohammadi; Taher Ahmed Ghaleb; Kuljit Kaur Chahal; Tim Bossenmaier; Bhaveet Nagaria; Philip Makedonski; Matin Nili Ahmadabadi; Kristóf Szabados; Helge Spieker; et al. (Empir. Softw. Eng., 2022)

Recursive Correlative Statistical Analysis Method With Sliding Windows for Incipient Fault Detection. - Yihao Qin; Yayun Yan; Hongquan Ji; Youqing Wang (IEEE Trans. Ind. Electron., 2022)

An Extensive Study of the Structure Features in Transformer-based Code Semantic Summarization. - Kang Yang 001; Xinjun Mao; Shangwen Wang; Yihao Qin; Tanghaoran Zhang; Yao Lu 003; Kamal Al-Sabahi (ICPC, 2023)

Enhancing Code Intelligence Tasks with ChatGPT. - Kang Yang 001; Xinjun Mao; Shangwen Wang; Tanghaoran Zhang; Bo Lin; Yanlin Wang 001; Yihao Qin; Zhang Zhang 005; Xiaoguang Mao (CoRR, 2023)

Fault Detection for Dynamic Processes Based on Recursive Innovational Component Statistical Analysis. - Xin Ma; Yabin Si; Yihao Qin; Youqing Wang (IEEE Trans Autom. Sci. Eng., 2023)

T-RAP: A Template-guided Retrieval-Augmented Vulnerability Patch Generation Approach. - Pei Liu; Bo Lin; Yihao Qin; Cheng Weng; Liqian Chen (Internetware, 2024)

MatsVD: Boosting Statement-Level Vulnerability Detection via Dependency-Based Attention. - Cheng Weng; Yihao Qin; Bo Lin; Pei Liu; Liqian Chen (Internetware, 2024)

AgentFL: Scaling LLM-based Fault Localization to Project-Level Context. - Yihao Qin; Shangwen Wang; Yiling Lou; Jinhao Dong; Kaixin Wang; Xiaoling Li 002; Xiaoguang Mao (CoRR, 2024)

Fault Localization from the Semantic Code Search Perspective. - Yihao Qin; Shangwen Wang; Yan Lei; Zhuo Zhang 007; Bo Lin; Xin Peng; Liqian Chen; Xiaoguang Mao (CoRR, 2024)

Keep It Simple: Towards Accurate Vulnerability Detection for Large Code Graphs. - Xin Peng; Shangwen Wang; Yihao Qin; Bo Lin; Liqian Chen; Xiaoguang Mao (CoRR, 2024)

Large Language Models Are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks. - Kang Yang 001; Xinjun Mao; Shangwen Wang; Yanlin Wang 001; Tanghaoran Zhang; Bo Lin; Yihao Qin; Zhang Zhang 005; Yao Lu 003; Kamal Al-Sabahi (ICPC, 2025)

GTE: learning code AST representation efficiently and effectively. - Yihao Qin; Shangwen Wang; Bo Lin; Kang Yang 001; Xiaoguang Mao (Sci. China Inf. Sci., 2025)

A Value Function Space Approach for Hierarchical Planning With Signal Temporal Logic Tasks. - Peiran Liu; Yiting He; Yihao Qin; Hang Zhou; Yiding Ji (IEEE Control. Syst. Lett., 2025)

Large Language Models-Aided Program Debloating. - Bo Lin; Shangwen Wang; Yihao Qin; Liqian Chen; Xiaoguang Mao (CoRR, 2025)

Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious Prompts. - Sheng Ouyang; Yihao Qin; Bo Lin; Liqian Chen; Xiaoguang Mao; Shangwen Wang (CoRR, 2025)

Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection. - Bo Lin; Shangwen Wang; Yihao Qin; Liqian Chen; Xiaoguang Mao (CoRR, 2025)

SoapFL: A Standard Operating Procedure for LLM-Based Method-Level Fault Localization. - Yihao Qin; Shangwen Wang; Yiling Lou; Jinhao Dong; Kaixin Wang; Xiaoling Li 002; Xiaoguang Mao (IEEE Trans. Software Eng., 2025)