| AC/C++ code vulnerability dataset with code changes and CVE summaries J Fan, Y Li, S Wang, TN Nguyen Proceedings of the 17th International Conference on Mining Software …, 2020 | 404 | 2020 |
| Dlfix: Context-based code transformation learning for automated program repair Y Li, S Wang, TN Nguyen Proceedings of the ACM/IEEE 42nd international conference on software …, 2020 | 317 | 2020 |
| Vulnerability detection with fine-grained interpretations Y Li, S Wang, TN Nguyen Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 271 | 2021 |
| Improving bug detection via context-based code representation learning and attention-based neural networks Y Li, S Wang, TN Nguyen, S Van Nguyen Proceedings of the ACM on Programming Languages 3 (OOPSLA), 1-30, 2019 | 189 | 2019 |
| Fault localization with code coverage representation learning Y Li, S Wang, T Nguyen 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 145 | 2021 |
| Dear: A novel deep learning-based approach for automated program repair Y Li, S Wang, TN Nguyen Proceedings of the 44th international conference on software engineering …, 2022 | 120 | 2022 |
| A context-based automated approach for method name consistency checking and suggestion Y Li, S Wang, T Nguyen 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 44 | 2021 |
| Combining program analysis and statistical language model for code statement completion S Nguyen, T Nguyen, Y Li, S Wang 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 37 | 2019 |
| DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection W Wang, TN Nguyen, S Wang, Y Li, J Zhang, A Yadavally 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 29 | 2023 |
| Does data sampling improve deep learning-based vulnerability detection? Yeas! and Nays! X Yang, S Wang, Y Li, S Wang 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 27 | 2023 |
| Fault localization to detect co-change fixing locations Y Li, S Wang, TN Nguyen Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 20 | 2022 |
| Utango: untangling commits with context-aware, graph-based, code change clustering learning model Y Li, S Wang, TN Nguyen Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 11 | 2022 |
| Improving automated program repair using two-layer tree-based neural networks Y Li, S Wang, TN Nguyen Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 6 | 2020 |
| Improving bug detection and fixing via code representation learning Y Li Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 4 | 2020 |
| QA4GIS: A novel approach learning to answer GIS developer questions with API documentation W Wang, Y Li, S Wang, X Ye Transactions in GIS 25 (5), 2675-2700, 2021 | 3 | 2021 |
| An empirical study on the characteristics of question-answering process on developer forums Y Li, S Wang, TN Nguyen Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 2 | 2020 |
| Rap4DQ: Learning to recommend relevant API documentation for developer questions Y Li, S Wang, W Wang, TN Nguyen, Y Wang, X Ye Empirical Software Engineering 27 (1), 23, 2022 | 1 | 2022 |
Shaohua (David) WangNew Jersey Institute of Technology (NJIT) -> Central University of Finance and EconomicsΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ieee.org