| Is using deep learning frameworks free? characterizing technical debt in deep learning frameworks J Liu, Q Huang, X Xia, E Shihab, D Lo, S Li Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 57 | 2020 |
| The devil is in the tails: How long-tailed code distributions impact large language models X Zhou, K Kim, B Xu, J Liu, DG Han, D Lo 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 23* | 2023 |
| On the way to microservices: Exploring problems and solutions from online q&a community M Wu, Y Zhang, J Liu, S Wang, Z Zhang, X Xia, X Mao 2022 IEEE International Conference on Software Analysis, Evolution and …, 2022 | 23 | 2022 |
| An exploratory study on the introduction and removal of different types of technical debt in deep learning frameworks J Liu, Q Huang, X Xia, E Shihab, D Lo, S Li Empirical Software Engineering 26, 1-36, 2021 | 22 | 2021 |
| Characterizing search activities on stack overflow J Liu, S Baltes, C Treude, D Lo, Y Zhang, X Xia Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 20 | 2021 |
| Exploring the capabilities of llms for code change related tasks L Fan, J Liu, Z Liu, D Lo, X Xia, S Li ACM Transactions on Software Engineering and Methodology, 2024 | 16 | 2024 |
| Are we ready to embrace generative ai for software q&a? B Xu, TD Nguyen, T Le-Cong, T Hoang, J Liu, K Kim, C Gong, C Niu, ... 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 16 | 2023 |
| Broken external links on stack overflow J Liu, X Xia, D Lo, H Zhang, Y Zou, AE Hassan, S Li IEEE Transactions on Software Engineering 48 (9), 3242-3267, 2021 | 14 | 2021 |
| An exploratory study on the repeatedly shared external links on stack overflow J Liu, H Zhang, X Xia, D Lo, Y Zou, AE Hassan, S Li Empirical Software Engineering 27, 1-32, 2022 | 13 | 2022 |
| Apidocbooster: An extract-then-abstract framework leveraging large language models for augmenting api documentation C Yang, J Liu, B Xu, C Treude, Y Lyu, J He, M Li, D Lo arXiv preprint arXiv:2312.10934, 2023 | 6 | 2023 |
| MiniMon: Minimizing Android Applications with Intelligent Monitoring-Based Debloating J Liu, Z Zhang, X Hu, F Thung, S Maoz, D Gao, E Toch, Z Zhao, D Lo Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 3 | 2024 |
| Techsumbot: A stack overflow answer summarization tool for technical query C Yang, B Xu, J Liu, D Lo 2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023 | 3 | 2023 |
| AutoDebloater: Automated Android App Debloating J Liu, X Hu, F Thung, S Maoz, E Toch, D Gao, D Lo 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 2 | 2023 |
| 基于信息检索的软件缺陷定位技术研究进展 张芸， 刘佳琨， 夏鑫， 吴明晖， 颜晖 软件学报 31 (8), 2432-2452, 2020 | 2 | 2020 |
| PTM4Tag+: Tag recommendation of stack overflow posts with pre-trained models J He, B Xu, Z Yang, DG Han, C Yang, J Liu, Z Zhao, D Lo Empirical Software Engineering 30 (1), 1-41, 2025 | 1 | 2025 |
| Towards Better Comprehension of Breaking Changes in the NPM Ecosystem D Kong, J Liu, L Bao, D Lo ACM Transactions on Software Engineering and Methodology, 2024 | 1 | 2024 |
| On the sustainability of deep learning projects: Maintainers' perspective J Han, J Liu, D Lo, C Zhi, Y Chen, S Deng Journal of Software: Evolution and Process 36 (7), e2645, 2024 | 1 | 2024 |
| Self-Admitted Technical Debts Identification: How Far Are We? H Gu, S Zhang, Q Huang, Z Liao, J Liu, D Lo 2024 IEEE International Conference on Software Analysis, Evolution and …, 2024 | 1 | 2024 |
| Sustainability Forecasting for Deep Learning Packages J Han, Y Wang, Z Liu, L Bao, J Liu, D Lo, S Deng 2024 IEEE International Conference on Software Analysis, Evolution and …, 2024 | | 2024 |
David LoProfessor of Computer Science, Singapore Management UniversityПотвърден имейл адрес: smu.edu.sg
