Combining Program Analysis and Statistical Language Model for Code Statement Completion. - Son Van Nguyen; Tien N. Nguyen; Yi Li 048; Shaohua Wang 002 (ASE, 2019)

An Empirical Study on the Characteristics of Question-Answering Process on Developer Forums. - Yi Li 048; Shaohua Wang 002; Tien N. Nguyen; Son Van Nguyen; Xinyue Ye; Yan Wang 014 (CoRR, 2019)

Improving bug detection via context-based code representation learning and attention-based neural networks. - Yi Li 048; Shaohua Wang 002; Tien N. Nguyen; Son Van Nguyen (Proc. ACM Program. Lang., 2019)

DLFix: context-based code transformation learning for automated program repair. - Yi Li 048; Shaohua Wang 002; Tien N. Nguyen (ICSE, 2020)

Improving automated program repair using two-layer tree-based neural networks. - Yi Li 048; Shaohua Wang 002; Tien N. Nguyen (ICSE (Companion Volume), 2020)

An empirical study on the characteristics of question-answering process on developer forums. - Yi Li 048; Shaohua Wang 002; Tien N. Nguyen (ICSE (Companion Volume), 2020)

A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries. - Jiahao Fan; Yi Li 048; Shaohua Wang 002; Tien N. Nguyen (MSR, 2020)

A Context-based Automated Approach for Method Name Consistency Checking and Suggestion. - Yi Li 048; Shaohua Wang 002; Tien N. Nguyen (ICSE, 2021)

Fault Localization with Code Coverage Representation Learning. - Yi Li 048; Shaohua Wang 002; Tien N. Nguyen (ICSE, 2021)

Vulnerability detection with fine-grained interpretations. - Yi Li 048; Shaohua Wang 002; Tien N. Nguyen (ESEC/SIGSOFT FSE, 2021)

QA4GIS: A novel approach learning to answer GIS developer questions with API documentation. - Wenbo Wang; Yi Li 048; Shaohua Wang 002; Xinyue Ye (Trans. GIS, 2021)

DEAR: A Novel Deep Learning-based Approach for Automated Program Repair. - Yi Li 048; Shaohua Wang 002; Tien N. Nguyen (ICSE, 2022)

UTANGO: untangling commits with context-aware, graph-based, code change clustering learning model. - Yi Li 048; Shaohua Wang 002; Tien N. Nguyen (ESEC/SIGSOFT FSE, 2022)

Fault localization to detect co-change fixing locations. - Yi Li 048; Shaohua Wang 002; Tien N. Nguyen (ESEC/SIGSOFT FSE, 2022)

Rap4DQ: Learning to recommend relevant API documentation for developer questions. - Yi Li 048; Shaohua Wang 002; Wenbo Wang; Tien N. Nguyen; Yan Wang 014; Xinyue Ye (Empir. Softw. Eng., 2022)

DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection. - Wenbo Wang; Tien N. Nguyen; Shaohua Wang 002; Yi Li 048; Jiyuan Zhang; Aashish Yadavally (ICSE, 2023)

Does data sampling improve deep learning-based vulnerability detection? Yeas! and Nays! - Xu Yang; Shaowei Wang 002; Yi Li 048; Shaohua Wang 002 (ICSE, 2023)

Contextuality of Code Representation Learning. - Yi Li 048; Shaohua Wang 002; Tien N. Nguyen (ASE, 2023)

DeMinify: Neural Variable Name Recovery and Type Inference. - Yi Li 048; Aashish Yadavally; Jiaxing Zhang 002; Shaohua Wang 002; Tien N. Nguyen (ESEC/SIGSOFT FSE, 2023)

Commit-Level, Neural Vulnerability Detection and Assessment. - Yi Li 048; Aashish Yadavally; Jiaxing Zhang 002; Shaohua Wang 002; Tien N. Nguyen (ESEC/SIGSOFT FSE, 2023)

Poirot: Deep Learning for API Misuse Detection. - Yi Li 048; Tien N. Nguyen; Shaohua Wang 002; Aashish Yadavally (ICSE Companion, 2024)

Neural Exception Handling Recommender. - Yi Li 048; Tien N. Nguyen; Yuchen Cai; Aashish Yadavally; Abhishek Mishra; Genesis Montejo (ICSE Companion, 2024)

A Learning-Based Approach to Static Program Slicing. - Aashish Yadavally; Yi Li 048; Shaohua Wang 002; Tien N. Nguyen (Proc. ACM Program. Lang., 2024)

Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning. - Aashish Yadavally; Yi Li 048; Tien N. Nguyen (Proc. ACM Softw. Eng., 2024)

Blended Analysis for Predictive Execution. - Yi Li 048; Hridya Dhulipala; Aashish Yadavally; Xiaokai Rong; Shaohua Wang 002; Tien N. Nguyen (Proc. ACM Softw. Eng., 2025)