Leveraging code generation to improve code retrieval and summarization via dual learning W Ye, R Xie, J Zhang, T Hu, X Wang, S Zhang Proceedings of The Web Conference 2020, 2309-2319, 2020 | 70 | 2020 |
Graph enhanced dual attention network for document-level relation extraction B Li, W Ye, Z Sheng, R Xie, X Xi, S Zhang Proceedings of the 28th international conference on computational …, 2020 | 64 | 2020 |
Exploiting code knowledge graph for bug localization via bi-directional attention J Zhang, R Xie, W Ye, Y Zhang, S Zhang Proceedings of the 28th International Conference on Program Comprehension …, 2020 | 45 | 2020 |
Exploiting entity BIO tag embeddings and multi-task learning for relation extraction with imbalanced data W Ye, B Li, R Xie, Z Sheng, L Chen, S Zhang arXiv preprint arXiv:1906.08931, 2019 | 45 | 2019 |
Deeplink: A code knowledge graph based deep learning approach for issue-commit link recovery R Xie, L Chen, W Ye, Z Li, T Hu, D Du, S Zhang 2019 IEEE 26th International Conference on Software Analysis, Evolution and …, 2019 | 31 | 2019 |
Exploiting method names to improve code summarization: A deliberation multi-task learning approach R Xie, W Ye, J Sun, S Zhang 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC …, 2021 | 25 | 2021 |
A hybrid character representation for chinese event detection X Xiangyu, Z Tong, Y Wei, Z Jinglei, X Rui, Z Shikun 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 22 | 2019 |
Exploring vision-language models for imbalanced learning Y Wang, Z Yu, J Wang, Q Heng, H Chen, W Ye, R Xie, X Xie, S Zhang International Journal of Computer Vision 132 (1), 224-237, 2024 | 15 | 2024 |
Exploiting method names to improve code summarization: A deliberation multi-task learning approach. In 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC) R Xie, W Ye, J Sun, S Zhang IEEE, 138ś148, 2021 | 6 | 2021 |
Low-resources project-specific code summarization R Xie, T Hu, W Ye, S Zhang Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 5 | 2022 |
Exploiting Pseudo Image Captions for Multimodal Summarization C Jiang, R Xie, W Ye, J Sun, S Zhang arXiv preprint arXiv:2305.05496, 2023 | 4 | 2023 |
Keyword-based source code summarization S Zhang, R Xie, W Ye, L Chen Journal of Computer Research and Development 57 (9), 1987, 2020 | 3 | 2020 |
CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios Z Zeng, Y Wang, R Xie, W Ye, S Zhang arXiv preprint arXiv:2403.19287, 2024 | 1 | 2024 |
CodeShell Technical Report R Xie, Z Zeng, Z Yu, C Gao, S Zhang, W Ye arXiv preprint arXiv:2403.15747, 2024 | 1 | 2024 |
Boosting Model Resilience via Implicit Adversarial Data Augmentation X Zhou, W Ye, Z Lee, R Xie, S Zhang arXiv preprint arXiv:2404.16307, 2024 | | 2024 |
Can Large Language Models Recall Reference Location Like Humans? Y Wang, X Xu, R Xie, W Hu, W Ye arXiv preprint arXiv:2402.17010, 2024 | | 2024 |
Generative Retrieval with Large Language Models Y Wang, R Xie, W Hu, W Ye, S Zhang | | 2023 |
3Rs: Data Augmentation Techniques Using Document Contexts For Low-Resource Chinese Named Entity Recognition Z Ying, J Zhang, R Xie, G Wen, F Xiao, X Liu, S Zhang 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | | 2022 |