| A novel neural source code representation based on abstract syntax tree J Zhang, X Wang, H Zhang, H Sun, K Wang, X Liu 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019 | 781 | 2019 |
| Retrieval-based neural source code summarization J Zhang, X Wang, H Zhang, H Sun, X Liu Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 260 | 2020 |
| An empirical study on fine-tuning large language models of code for automated program repair K Huang, X Meng, J Zhang, Y Liu, W Wang, S Li, Y Zhang 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 81 | 2023 |
| Badedit: Backdooring large language models by model editing Y Li, T Li, K Chen, J Zhang, S Liu, W Wang, T Zhang, Y Liu arXiv preprint arXiv:2403.13355, 2024 | 53 | 2024 |
| Learning to handle exceptions J Zhang, X Wang, H Zhang, H Sun, Y Pu, X Liu Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020 | 29 | 2020 |
| Learning semantic coherence for machine generated spam text detection M Bao, J Li, J Zhang, H Peng, X Liu 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 26 | 2019 |
| Teaching code llms to use autocompletion tools in repository-level code generation C Wang, J Zhang, Y Feng, T Li, W Sun, Y Liu, X Peng arXiv preprint arXiv:2401.06391, 2024 | 24 | 2024 |
| Combining fine-tuning and llm-based agents for intuitive smart contract auditing with justifications W Ma, D Wu, Y Sun, T Wang, S Liu, J Zhang, Y Xue, Y Liu arXiv preprint arXiv:2403.16073, 2024 | 22 | 2024 |
| An empirical study of automated vulnerability localization with large language models J Zhang, C Wang, A Li, W Sun, C Zhang, W Ma, Y Liu arXiv preprint arXiv:2404.00287, 2024 | 21 | 2024 |
| Detecting condition-related bugs with control flow graph neural network J Zhang, X Wang, H Zhang, H Sun, X Liu, C Hu, Y Liu Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 18 | 2023 |
| Learning to locate and describe vulnerabilities J Zhang, S Liu, X Wang, T Li, Y Liu 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 13 | 2023 |
| A prompt learning framework for source code summarization W Sun, C Fang, Y You, Y Chen, Y Liu, C Wang, J Zhang, Q Zhang, H Qian, ... arXiv preprint arXiv:2312.16066, 2023 | 12 | 2023 |
| Semantically enhanced tag recommendation for software CQAs via deep learning J Zhang, H Sun, Y Tian, X Liu Proceedings of the 40th International Conference on Software Engineering …, 2018 | 11 | 2018 |
| PatchFinder: A two-phase approach to security patch tracing for disclosed vulnerabilities in open-source software K Li, J Zhang, S Chen, H Liu, Y Liu, Y Chen Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | 6 | 2024 |
| Template-guided program repair in the era of large language models K Huang, J Zhang, X Meng, Y Liu Proceedings of the 47th International Conference on Software Engineering …, 2024 | 4 | 2024 |
| An empirical study on noisy label learning for program understanding W Wang, Y Li, A Li, J Zhang, W Ma, Y Liu Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 4 | 2024 |
| Runner: Responsible unfair neuron repair for enhancing deep neural network fairness T Li, Y Cao, J Zhang, S Zhao, Y Huang, A Liu, Q Guo, Y Liu Proceedings of the 46th IEEE/ACM International Conference on Software …, 2024 | 4 | 2024 |
| Tiger: A generating-then-ranking framework for practical python type inference C Wang, J Zhang, Y Lou, M Liu, W Sun, Y Liu, X Peng arXiv preprint arXiv:2407.02095, 2024 | 3 | 2024 |
| VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair J Zhang, C Wang, A Li, W Wang, T Li, Y Liu Proceedings of the 39th IEEE/ACM International Conference on Automated …, 2024 | 1 | 2024 |
| Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning A Li, Y Chen, J Zhang, M Cheng, Y Huang, Y Wu, AT Luu, H Yu Proceedings of the ACM on Management of Data 2 (3), 1-24, 2024 | 1 | 2024 |
