| Sentiment Analysis for Software Engineering: How Far Can Pre-trained Transformer Models Go? T Zhang, B Xu, F Thung, SA Haryono, D Lo, L Jiang 2020 IEEE International Conference on Software Maintenance and Evolution …, 2020 | 109 | 2020 |
| Automatic Pull Request Title Generation T Zhang, IC Irsan, F Thung, DG Han, D Lo, L Jiang 2022 IEEE International Conference on Software Maintenance and Evolution …, 2022 | 17 | 2022 |
| Duplicate Bug Report Detection: How Far Are We? T Zhang, DG Han, V Vinayakarao, IC Irsan, B Xu, F Thung, D Lo, L Jiang ACM Transactions on Software Engineering and Methodology 32 (4), 1-32, 2023 | 15 | 2023 |
| Representation learning for stack overflow posts: How far are we? J He, X Zhou, B Xu, T Zhang, K Kim, Z Yang, F Thung, IC Irsan, D Lo ACM Transactions on Software Engineering and Methodology 33 (3), 1-24, 2024 | 14 | 2024 |
| iTiger: An Automatic Issue Title Generation Tool T Zhang, IC Irsan, F Thung, DG Han, D Lo, L Jiang Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 12 | 2022 |
| Cupid: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection T Zhang, IC Irsan, F Thung, D Lo arXiv preprint arXiv:2308.10022, 2023 | 11 | 2023 |
| Answer summarization for technical queries: Benchmark and new approach C Yang, B Xu, F Thung, Y Shi, T Zhang, Z Yang, X Zhou, J Shi, J He, ... Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 9 | 2022 |
| Benchmarking Library Recognition in Tweets T Zhang, DP Chandrasekaran, F Thung, D Lo Proceedings of the 30th IEEE/ACM International Conference on Program …, 2022 | 9 | 2022 |
| Autoprtitle: A tool for automatic pull request title generation IC Irsan, T Zhang, F Thung, D Lo, L Jiang 2022 IEEE International Conference on Software Maintenance and Evolution …, 2022 | 8 | 2022 |
| Large Language Model for Vulnerability Detection: Emerging Results and Future Directions X Zhou, T Zhang, D Lo arXiv preprint arXiv:2401.15468, 2024 | 4 | 2024 |
| Revisiting sentiment analysis for software engineering in the era of large language models T Zhang, IC Irsan, F Thung, D Lo arXiv preprint arXiv:2310.11113, 2023 | 4 | 2023 |
| Multi-Modal API Recommendation IC Irsan, T Zhang, F Thung, K Kim, D Lo 30th IEEE International Conference on Software Analysis, Evolution and …, 2023 | 4 | 2023 |
| Picaso: enhancing api recommendations with relevant stack overflow posts IC Irsan, T Zhang, F Thung, K Kim, D Lo 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 3 | 2023 |
| On Evaluating the Efficiency of Source Code Generated by LLMs C Niu, T Zhang, C Li, B Luo, V Ng arXiv preprint arXiv:2404.06041, 2024 | | 2024 |
| SUPPORTING SOFTWARE ENGINEERS WITH LARGE LANGUAGE MODEL-BASED AUTOMATION T Zhang Singapore Management University, 2023 | | 2023 |
| Explaining Explanation: An Empirical Study on Explanation in Code Reviews R Widyasari, T Zhang, A Bouraffa, D Lo arXiv preprint arXiv:2311.09020, 2023 | | 2023 |
| Evaluating Pre-trained Language Models for Repairing API Misuses T Zhang, IC Irsan, F Thung, D Lo, A Sharma, L Jiang arXiv preprint arXiv:2310.16390, 2023 | | 2023 |
| CodeMatcher: A Tool for Large-scale Code Search Based on Query Semantics Matching C Liu, X Bao, X Xia, M Yan, D Lo, T Zhang Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | | 2022 |
David LoProfessor of Computer Science, Singapore Management UniversityDirección de correo verificada de smu.edu.sg
