| Automating code review activities by large-scale pre-training Z Li, S Lu, D Guo, N Duan, S Jannu, G Jenks, D Majumder, J Green, ... Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 206* | 2022 |
| Generating adversarial examples for holding robustness of source code processing models H Zhang, Z Li, G Li, L Ma, Y Liu, Z Jin Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 1169-1176, 2020 | 127 | 2020 |
| Self-edit: Fault-aware code editor for code generation K Zhang, Z Li, J Li, G Li, Z Jin arXiv preprint arXiv:2305.04087, 2023 | 112 | 2023 |
| Codescore: Evaluating code generation by learning code execution Y Dong, J Ding, X Jiang, G Li, Z Li, Z Jin arXiv preprint arXiv:2301.09043, 2023 | 49 | 2023 |
| Toolcoder: Teach code generation models to use api search tools K Zhang, H Zhang, G Li, J Li, Z Li, Z Jin arXiv preprint arXiv:2305.04032, 2023 | 48 | 2023 |
| CodeEditor: Learning to Edit Source Code with Pre-trained Models J Li, G Li, Z Li, Z Jin, X Hu, K Zhang, Z Fu ACM Transactions on Software Engineering and Methodology 32 (6), 1-22, 2023 | 35 | 2023 |
| Poison attack and poison detection on deep source code processing models J Li♂, Z Li, HZ Zhang, G Li, Z Jin, X Hu, X Xia ACM Transactions on Software Engineering and Methodology 33 (3), 1-31, 2024 | 22 | 2024 |
| Poison attack and defense on deep source code processing models J Li, Z Li, H Zhang, G Li, Z Jin, X Hu, X Xia arXiv preprint arXiv:2210.17029, 2022 | 18 | 2022 |
| Implant global and local hierarchy information to sequence based code representation models K Zhang, Z Li, Z Jin, G Li 2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC …, 2023 | 9 | 2023 |