[ICSE'23] Wenbo Wang, Tien N. Nguyen, Shaohua Wang, Yi Li, Jiyuan Zhang, and Aashish Yadavally "DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection", the 45th ACM/IEEE International Conference on Software Engineering (ACM/IEEE ICSE 2023), Accepted

[ICSE'23] Xu Yang, Shaowei Wang, Yi Li, and Shaohua Wang, "Does data sampling improve deep learning-based vulnerability detection? Yeas! and Nays! ", the 45th ACM/IEEE International Conference on Software Engineering (ACM/IEEE ICSE 2023), Accepted

[ESEC/FSE'22] Yi Li, Shaohua Wang, and Tien N. Nguyen, "Fault Localization to Detect Co-Change Fixing Locations", in Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ACM ESEC/FSE 2022), ACM Press, 2022. [PDF]

[ESEC/FSE'22] Yi Li, Shaohua Wang, and Tien N. Nguyen, "UTANGO: untangling commits with context-aware, graph-based, code change clustering learning model", in Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ACM ESEC/FSE 2022), ACM Press, 2022. [PDF]

[ICSE'22] Yi Li, Shaohua Wang, and Tien N. Nguyen, " DEAR: A Novel Deep Learning-based Approach for Automated Program Repair", in Proceedings of the 44th ACM/IEEE International Conference on Software Engineering (ACM/IEEE ICSE 2022), ACM Press, 2022. [PDF]

[ESEC/FSE'21] Yi Li, Shaohua Wang, and Tien N. Nguyen, "Vulnerability Detection with Fine-grained Interpretations", in Proceedings of the 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ACM ESEC/FSE 2021), ACM Press, 2021. [PDF]

[ICSE'21] Yi Li, Shaohua Wang, and Tien N. Nguyen, "A Context-based Automated Approach for Method Name Consistency Checking and Suggestion", in Proceedings of the 43rd ACM/IEEE International Conference on Software Engineering (ACM/IEEE ICSE 2021), IEEE CS,. 2021. [PDF]

[ICSE'21] Yi Li Shaohua Wang, and Tien N. Nguyen. "Fault Localization with Code Coverage Representation Learning", in Proceedings of the 43rd ACM/IEEE International Conference on Software Engineering (ACM/IEEE ICSE 2021), IEEE CS, 2021. [PDF]

[EMSE] Yi Li Shaohua Wang, Wenbo Wang, Tien N. Nguyen, Yan Wang, and Xinyue Ye, "Rap4DQ: Learning to Recommend Relevant API Documentation for Developer Questions", Empirical Software Engineering Journal, 2021. [PDF]

[GIS]b> Wang, Wenbo, Yi Li Shaohua Wang, and Xinyue Ye, "QA4GIS: A novel approach learning to answer GIS developer questions with API documentation", Transactions in GIS Journal, 2021. [PDF]

[ICSE'20] Yi Li Shaohua Wang, and Tien N. Nguyen, "DLFix: Context-based Code Transformation Learning for Automated Program Repair", in Proceedings of the 42nd ACM/IEEE International Conference on Software Engineering (ACM/IEEE ICSE 2020), ACM Press, 2020. [PDF]

[ICSE'20 Poster] Yi Li Shaohua Wang, and Tien N. Nguyen, "An Empirical Study on the Characteristics of Question-Answering Process on Developer Forums", [Poster] in Proceedings of the 42nd ACM/IEEE International Conference on Software Engineering (ACM/IEEE ICSE 2020), ACM Press, 2020. [PDF]

[ICSE'20 Poster] Yi Li Shaohua Wang, and Tien N. Nguyen, "Improving Automated Program Repair using Two-layer Tree-based Neural Networks", [Poster] in Proceedings of the 42nd ACM/IEEE International Conference on Software Engineering (ACM/IEEE ICSE 2020), ACM Press, 2020. [PDF]

[ICSE'20 Student Competition] Yi Li "Improving Bug Detection and Fixing via Code Representation Learning", [Student Competition] in Proceedings of the 42nd ACM/IEEE International Conference on Software Engineering (ACM/IEEE ICSE 2020), ACM Press, 2020. [PDF]

[MSR'20 Data Track] Jiahao Fan, Yi Li Shaohua Wang and Tien N. Nguyen, "A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries", [Data Track] in Proceedings of the Mining Software Repositories Conference (MSR 2020), ACM Press, 2020. [PDF]

[OOPSLA'19] Yi Li Shaohua Wang, Tien N. Nguyen, and Son Van Nguyen, "Improving Bug Detection via Context-Based Code Representation Learning and Attention-Based Neural Networks", in Proceedings of the 2019 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA 2019), ACM Press, 2019. [PDF]

[ASE'19] Son Van Nguyen, Tien N. Nguyen, Yi Li and Shaohua Wang, "Combining Program Analysis and Statistical Language Model for Code Statement Completion", in Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering Conference (ASE 2019), IEEE CS, 2019. [PDF]

[ASE'19 Late Break Results] Yi Li Shaohua Wang, Tien N. Nguyen, Son Nguyen, Xinyue Ye, Yan Wang, "An Empirical Study on the Characteristics of Question-Answering Process on Developer Forums", [Late Breaking Results] in Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering Conference (ASE 2019), IEEE CS, 2019. [PDF]