| 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 | 40 | 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 | 38 | 2021 |
| 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 | 30 | 2022 |
| 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 | 22 | 2022 |
| 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 | 17* | 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 | 16 | 2022 |
| 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 | 13 | 2023 |
| 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 | 13 | 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 | 7 | 2023 |
| Hityper: A hybrid static type inference framework with neural prediction Y Peng, Z Li, C Gao, B Gao, D Lo, M Lyu arXiv preprint, 2021 | 7 | 2021 |
| 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 | 6 | 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 | 5 | 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 | 4 | 2023 |
| CCTEST: Testing and Repairing Code Completion Systems. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE). 1238–1250 Z Li, C Wang, Z Liu, H Wang, D Chen, S Wang, C Gao | 4 | 2023 |
| 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 | 3 | 2023 |
| An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios Z Li, W Qiu, P Ma, Y Li, Y Li, S He, B Jiang, S Wang, W Gu arXiv preprint arXiv:2402.01723, 2024 | 2 | 2024 |
| VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models Z Li, C Wang, C Liu, P Ma, D Wu, S Wang, C Gao arXiv preprint arXiv:2312.04087, 2023 | 2 | 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 | 2 | 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 | 2 | 2023 |
| 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, 2024 | 1 | 2024 |
