| Deep learning for code intelligence: Survey, benchmark and toolkit Y Wan, Z Bi, Y He, J Zhang, H Zhang, Y Sui, G Xu, H Jin, P Yu ACM Computing Surveys 56 (12), 1-41, 2024 | 13 | 2024 |
| Iterative refinement of project-level code context for precise code generation with compiler feedback Z Bi, Y Wan, Z Wang, H Zhang, B Guan, F Lu, Z Zhang, Y Sui, H Jin, X Shi Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 10 | 2024 |
| NaturalCC: An open-source toolkit for code intelligence Y Wan, Y He, Z Bi, J Zhang, Y Sui, H Zhang, K Hashimoto, H Jin, G Xu, ... Proceedings of the ACM/IEEE 44th International Conference on Software …, 2022 | 8 | 2022 |
| Codeip: A grammar-guided multi-bit watermark for large language models of code B Guan, Y Wan, Z Bi, Z Wang, H Zhang, P Zhou, L Sun Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 6 | 2024 |
| AutoDSL: Automated domain-specific language design for structural representation of procedures with constraints YZ Shi, H Hou, Z Bi, F Meng, X Wei, L Ruan, Q Wang arXiv preprint arXiv:2406.12324, 2024 | 3 | 2024 |
| How to Select Pre-Trained Code Models for Reuse? A Learning Perspective Z Bi, Y Wan, Z Chu, Y Hu, J Zhang, H Zhang, G Xu, H Jin arXiv preprint arXiv:2501.03783, 2025 | | 2025 |
| Expert-level protocol translation for self-driving labs YZ Shi, F Meng, H Hou, Z Bi, Q Xu, L Ruan, Q Wang arXiv preprint arXiv:2411.00444, 2024 | | 2024 |
| Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs YZ Shi, M Liu, F Meng, Q Xu, Z Bi, K He, L Ruan, Q Wang The Thirteenth International Conference on Learning Representations, 0 | | |
Yao WanHuazhong University of Science and TechnologyVerifisert e-postadresse på hust.edu.cn