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 | 53 | 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 | 49 | 2022 |
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 | 23 | 2020 |
PSCS: A path-based neural model for semantic code search Z Sun, Y Liu, C Yang, Y Qian arXiv preprint arXiv:2008.03042, 2020 | 12 | 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 | 7 | 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 2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023 | 7* | 2023 |
Data augmentation approaches for source code models: A survey TY Zhuo, Z Yang, Z Sun, Y Wang, L Li, X Du, Z Xing, D Lo arXiv preprint arXiv:2305.19915, 2023 | 5 | 2023 |
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 | 4 | 2024 |
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 | 3 | 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 | 2 | 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 | 2 | 2023 |
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 | 1* | 2024 |
AI Coders Are Among Us: Rethinking Programming Language Grammar Towards Efficient Code Generation Z Sun, X Du, Z Yang, L Li, D Lo arXiv preprint arXiv:2404.16333, 2024 | | 2024 |
Reversible jump attack to textual classifiers with modification reduction M Ni, Z Sun, W Liu Machine Learning, 1-31, 2024 | | 2024 |
Fusing Code Searchers S Wang, M Geng, B Lin, Z Sun, M Wen, Y Liu, L Li, TF Bissyandé, X Mao | | |