| 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 | 104 | 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 | 41* | 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 | 40 | 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 | 24* | 2024 |
| 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 |
| 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 | 21 | 2021 |
| 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 | 20 | 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 | 18 | 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 | 16* | 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 | 15 | 2023 |
| 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 | 14 | 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 | 10* | 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, 2023 | 7 | 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 | 5 | 2023 |
| Securemldebugger: A privacy-preserving machine learning debugging tool P Han, C Wang, C Liu, S Duan, H Pan, P Luo 2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC …, 2020 | 3 | 2020 |
| 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 |
| A Unified Framework for Mini-game Testing: Experience on WeChat C Wang, H Lu, C Gao, Z Li, T Xiong, Y Deng Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 1 | 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 | | 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 | | 2024 |
| 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 | | 2024 |
Cuiyun GAOHarbin Institute of Technology (Shenzhen)在 hit.edu.cn 的电子邮件经过验证
