| No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence C Wang, Y Yang, C Gao, Y Peng, H Zhang, MR Lyu Proceedings of the 30th ACM joint European software engineering conference …, 2022 | 147 | 2022 |
| Cctest: Testing and repairing code completion systems Z Li, C Wang, Z Liu, H Wang, D Chen, S Wang, C Gao 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 63 | 2023 |
| 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 Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 44* | 2024 |
| 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 |
| 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 |
| Label-aware distribution calibration for long-tailed classification C Wang, S Gao, P Wang, C Gao, W Pei, L Pan, Z Xu IEEE Transactions on Neural Networks and Learning System, 2021 | 29 | 2021 |
| 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 |
| Generative type inference for python Y Peng, C Wang, W Wang, C Gao, MR Lyu 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 26 | 2023 |
| Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models S Gao, H Zhang, C Gao, C Wang ICSE 2023, 2023 | 25 | 2023 |
| Two sides of the same coin: Exploiting the impact of identifiers in neural code comprehension S Gao, C Gao, C Wang, J Sun, D Lo, Y Yu 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 22* | 2023 |
| Prompt tuning in code intelligence: An experimental evaluation C Wang, Y Yang, C Gao, Y Peng, H Zhang, MR Lyu IEEE Transactions on Software Engineering 49 (11), 4869-4885, 2023 | 19 | 2023 |
| Practitioners' expectations on code completion C Wang, J Hu, C Gao, Y Jin, T Xie, H Huang, Z Lei, Y Deng arXiv preprint arXiv:2301.03846, 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 |
| How practitioners expect code completion? C Wang, J Hu, C Gao, Y Jin, T Xie, H Huang, Z Lei, Y Deng Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 13 | 2023 |
| Automatically generating UI code from screenshot: A divide-and-conquer-based approach Y Wan, C Wang, Y Dong, W Wang, S Li, Y Huo, MR Lyu arXiv preprint arXiv:2406.16386, 2024 | 11 | 2024 |
| 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 |
| 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 |
| 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 |
| Xmoe: Sparse models with fine-grained and adaptive expert selection Y Yang, S Qi, W Gu, C Wang, C Gao, Z Xu arXiv preprint arXiv:2403.18926, 2024 | 6* | 2024 |
Cuiyun GAOHarbin Institute of Technology (Shenzhen)Підтверджена електронна адреса в hit.edu.cn