| On the evaluation of neural code summarization E Shi, Y Wang, L Du, J Chen, S Han, H Zhang, D Zhang, H Sun ICSE 2022; Proceedings of the 44th International Conference on Software …, 2022 | 98* | 2022 |
| CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees E Shi, Y Wang, L Du, H Zhang, S Han, D Zhang, H Sun EMNLP 2021, 2021 | 66 | 2021 |
| On the Evaluation of Commit Message Generation Models: An Experimental Study W Tao, Y Wang, E Shi, L Du, S Han, H Zhang, D Zhang, W Zhang ICSME 2021, 2021 | 54 | 2021 |
| CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network Y Wang, E Shi, L Du, X Yang, Y Hu, S Han, H Zhang, D Zhang MSR-TR 2020, 2021 | 53* | 2021 |
| CoCoSoDa: Effective Contrastive Learning for Code Search E Shi, Y Wang, W Gu, L Du, H Zhang, S Han, D Zhang, H Sun ICSE2023; Proceedings of the 45th International Conference on Software …, 2023 | 43* | 2023 |
| RACE: Retrieval-Augmented Commit Message Generation E Shi, Y Wang, W Tao, L Du, H Zhang, S Han, D Zhang, H Sun EMNLP 2022, 2022 | 40 | 2022 |
| Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search L Du, X Shi, Y Wang, E Shi, S Han, D Zhang CIKM 2021, 2994-2998, 2021 | 38 | 2021 |
| Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond E Shi, Y Wang, H Zhang, L Du, S Han, D Zhang, H Sun ISSTA2023, 2023 | 36 | 2023 |
| A large-scale empirical study of commit message generation: models, datasets and evaluation W Tao, Y Wang, E Shi, L Du, S Han, H Zhang, D Zhang, W Zhang Empirical Software Engineering 27 (7), 198, 2022 | 15 | 2022 |
| CoCoSoDa: Effective Contrastive Learning for Code Search. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 2198–2210 E Shi, Y Wang, W Gu, L Du, H Zhang, S Han, D Zhang, H Sun IEEE, 2023 | 11 | 2023 |
| SoTaNa: The Open-Source Software Development Assistant E Shi, F Zhang, Y Wang, B Chen, L Du, H Zhang, S Han, D Zhang, H Sun arXiv preprint arXiv:2308.13416, 2023 | 9 | 2023 |
| You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search Y Wang, L Guo, E Shi, W Chen, J Chen, W Zhong, M Wang, H Li, H Zhang, ... 2023 IEEE International Conference on Software Maintenance and Evolution …, 2023 | 5 | 2023 |
| When to stop? towards efficient code generation in llms with excess token prevention L Guo, Y Wang, E Shi, W Zhong, H Zhang, J Chen, R Zhang, Y Ma, ... Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | 3 | 2024 |
| Cocoast: representing source code via hierarchical splitting and reconstruction of abstract syntax trees E Shi, Y Wang, L Du, H Zhang, S Han, D Zhang, H Sun Empirical Software Engineering 28 (6), 135, 2023 | 3 | 2023 |
| Agents in Software Engineering: Survey, Landscape, and Vision Y Wang, W Zhong, Y Huang, E Shi, M Yang, J Chen, H Li, Y Ma, Q Wang, ... arXiv preprint arXiv:2409.09030, 2024 | 2 | 2024 |
| Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond D Zheng, Y Wang, E Shi, R Zhang, Y Ma, H Zhang, Z Zheng arXiv preprint arXiv:2406.06918, 2024 | 2 | 2024 |
| RepoMinCoder: Improving Repository-Level Code Generation Based on Information Loss Screening Y Li, E Shi, D Zheng, K Duan, J Chen, Y Wang Proceedings of the 15th Asia-Pacific Symposium on Internetware, 229-238, 2024 | 1 | 2024 |
| Context-Aware Code Summarization with Multi-Relational Graphcontext-Aware Code Summarization with Multi-Relational Graph Neural Network Y Wang, E Shi, L Du, X Yang, Y Hu, S Han, H Zhang, D Zhang Available at SSRN 4220790, 0 | | |
Yanlin WangSun Yat-sen UniversityVerified email at mail.sysu.edu.cn
