| CCTEST: Testing and Repairing Code Completion Systems Z Li, C Wang, Z Liu, H Wang, S Wang, C Gao arXiv preprint arXiv:2208.08289, 2022 | 62 | 2022 |
| Static inference meets deep learning: a hybrid type inference approach for python Y Peng, C Gao, Z Li, B Gao, D Lo, Q Zhang, M Lyu Proceedings of the 44th International Conference on Software Engineering …, 2022 | 59 | 2022 |
| CRaDLe: Deep code retrieval based on semantic dependency learning W Gu, Z Li, C Gao, C Wang, H Zhang, Z Xu, MR Lyu Neural Networks 141, 385-394, 2021 | 48 | 2021 |
| On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study Z Li, C Wang, P Ma, C Liu, S Wang, D Wu, C Gao, Y Liu arXiv preprint arXiv:2303.03012, 2023 | 44* | 2023 |
| Protecting intellectual property of large language model-based code generation apis via watermarks Z Li, C Wang, S Wang, C Gao Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | 43 | 2023 |
| Unleashing the power of compiler intermediate representation to enhance neural program embeddings Z Li, P Ma, H Wang, S Wang, Q Tang, S Nie, S Wu Proceedings of the 44th International Conference on Software Engineering …, 2022 | 31 | 2022 |
| Split and merge: Aligning position biases in large language model based evaluators Z Li, C Wang, P Ma, D Wu, S Wang, C Gao, Y Liu arXiv preprint arXiv:2310.01432, 2023 | 30 | 2023 |
| Enriching query semantics for code search with reinforcement learning C Wang, Z Nong, C Gao, Z Li, J Zeng, Z Xing, Y Liu Neural Networks 145, 22-32, 2022 | 28 | 2022 |
| Exploring missed optimizations in webassembly optimizers Z Liu, D Xiao, Z Li, S Wang, W Meng Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 20 | 2023 |
| Instructta: Instruction-tuned targeted attack for large vision-language models X Wang, Z Ji, P Ma, Z Li, S Wang arXiv preprint arXiv:2312.01886, 2023 | 18 | 2023 |
| Benchmarking and explaining large language model-based code generation: A causality-centric approach Z Ji, P Ma, Z Li, S Wang arXiv preprint arXiv:2310.06680, 2023 | 18 | 2023 |
| Refining decompiled c code with large language models WK Wong, H Wang, Z Li, Z Liu, S Wang, Q Tang, S Nie, S Wu arXiv preprint arXiv:2310.06530, 2023 | 17 | 2023 |
| Cctest: Testing and repairing code completion systems. In 2023 ieee/acm 45th international conference on software engineering (icse) Z Li, C Wang, Z Liu, H Wang, D Chen, S Wang, C Gao IEEE, 2023 | 16 | 2023 |
| Reef: A framework for collecting real-world vulnerabilities and fixes C Wang, Z Li, Y Pena, S Gao, S Chen, S Wang, C Gao, MR Lyu 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 11 | 2023 |
| " Oops, Did I Just Say That?" Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process P Ma, Z Li, A Sun, S Wang arXiv preprint arXiv:2305.02626, 2023 | 10 | 2023 |
| Oops, Did I Just Say That? P Ma, Z Li, A Sun, S Wang Testing and Repairing Unethical Suggestions of Large Language Models with …, 2023 | 10 | 2023 |
| Exploring multi-lingual bias of large code models in code generation C Wang, Z Li, C Gao, W Wang, T Peng, H Huang, Y Deng, S Wang, ... arXiv preprint arXiv:2404.19368, 2024 | 9 | 2024 |
| Hityper: A hybrid static type inference framework with neural prediction Y Peng, Z Li, C Gao, B Gao, D Lo, M Lyu arXiv preprint arXiv 2105, 2021 | 9 | 2021 |
| Navrepair: Node-type aware c/c++ code vulnerability repair R Wang, Z Li, C Wang, Y Xiao, C Gao arXiv preprint arXiv:2405.04994, 2024 | 6 | 2024 |
| Evaluating c/c++ vulnerability detectability of query-based static application security testing tools Z Li, Z Liu, WK Wong, P Ma, S Wang IEEE Transactions on Dependable and Secure Computing 21 (5), 4600-4618, 2024 | 6 | 2024 |