| On the importance of building high-quality training datasets for neural code search Z Sun, L Li, Y Liu, X Du, L Li Proceedings of the 44th International Conference on Software Engineering …, 2022 | 82 | 2022 |
| Coprotector: Protect open-source code against unauthorized training usage with data poisoning Z Sun, X Du, F Song, M Ni, L Li Proceedings of the ACM Web Conference 2022, 652-660, 2022 | 79 | 2022 |
| Robustness, security, privacy, explainability, efficiency, and usability of large language models for code Z Yang, Z Sun, TZ Yue, P Devanbu, D Lo arXiv preprint arXiv:2403.07506, 2024 | 41 | 2024 |
| Req2lib: A semantic neural model for software library recommendation Z Sun, Y Liu, Z Cheng, C Yang, P Che 2020 IEEE 27th international Conference on software analysis, evolution and …, 2020 | 26 | 2020 |
| Codemark: Imperceptible watermarking for code datasets against neural code completion models Z Sun, X Du, F Song, L Li Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 25 | 2023 |
| Natural language to code: How far are we? S Wang, M Geng, B Lin, Z Sun, M Wen, Y Liu, L Li, TF Bissyandé, X Mao Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 17 | 2023 |
| Don’t Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems Z Sun, X Du, F Song, S Wang, M Ni, L Li, D Lo ACM Transactions on Software Engineering and Methodology 34 (1), 1-22, 2024 | 16* | 2024 |
| Two birds with one stone: Boosting code generation and code search via a generative adversarial network S Wang, B Lin, Z Sun, M Wen, Y Liu, Y Lei, X Mao Proceedings of the ACM on Programming Languages 7 (OOPSLA2), 486-515, 2023 | 14 | 2023 |
| PSCS: A path-based neural model for semantic code search Z Sun, Y Liu, C Yang, Y Qian arXiv preprint arXiv:2008.03042, 2020 | 14 | 2020 |
| Source Code Data Augmentation for Deep Learning: A Survey TY Zhuo, Z Yang, Z Sun, Y Wang, L Li, X Du, Z Xing, D Lo arXiv preprint arXiv:2305.19915, 2023 | 11* | 2023 |
| When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference Z Sun, X Du, F Song, S Wang, L Li Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 9 | 2024 |
| Fraud's Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process M Ni, Z Sun, W Liu IEEE Transactions on Knowledge and Data Engineering, 2024 | 9* | 2024 |
| AI coders are among us: Rethinking programming language grammar towards efficient code generation Z Sun, X Du, Z Yang, L Li, D Lo Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | 6 | 2024 |
| Fusing Code Searchers S Wang, M Geng, B Lin, Z Sun, M Wen, Y Liu, L Li, TF Bissyandé, X Mao IEEE Transactions on Software Engineering, 2024 | 3 | 2024 |
| FDI: Attack Neural Code Generation Systems through User Feedback Channel Z Sun, X Du, X Luo, F Song, D Lo, L Li Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | 2 | 2024 |
| Reversible jump attack to textual classifiers with modification reduction M Ni, Z Sun, W Liu Machine Learning, 1-31, 2024 | 2 | 2024 |
| LLM as Runtime Error Handler: A Promising Pathway to Adaptive Self-Healing of Software Systems Z Sun, H Zhu, B Xu, X Du, L Li, D Lo arXiv preprint arXiv:2408.01055, 2024 | 1 | 2024 |
Li LI (黎立)Professor of Software Engineering, Beihang UniversityVerified email at monash.edu