| Exploring and evaluating hallucinations in llm-powered code generation F Liu, Y Liu, L Shi, H Huang, R Wang, Z Yang, L Zhang, Z Li, Y Ma arXiv preprint arXiv:2404.00971, 2024 | 78 | 2024 |
| A multi-modal transformer-based code summarization approach for smart contracts Z Yang, J Keung, X Yu, X Gu, Z Wei, X Ma, M Zhang 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC …, 2021 | 75 | 2021 |
| Exploring and unleashing the power of large language models in automated code translation Z Yang, F Liu, Z Yu, JW Keung, J Li, S Liu, Y Hong, X Ma, Z Jin, G Li Proceedings of the ACM on Software Engineering 1 (FSE), 1585-1608, 2024 | 40 | 2024 |
| On the significance of category prediction for code-comment synchronization Z Yang, JW Keung, X Yu, Y Xiao, Z Jin, J Zhang ACM Transactions on Software Engineering and Methodology 32 (2), 1-41, 2023 | 35 | 2023 |
| Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information F Zhang, X Yu, J Keung, F Li, Z Xie, Z Yang, C Ma, Z Zhang Information and Software Technology 148, 106922, 2022 | 31 | 2022 |
| CASMS: Combining clustering with attention semantic model for identifying security bug reports X Ma, J Keung, Z Yang, X Yu, Y Li, H Zhang Information and Software Technology 147, 106906, 2022 | 21 | 2022 |
| Environmental regulations and enterprises innovation performance: The role of R&D investments and political connections J Zhang, Z Yang, L Meng, L Han Environment, Development and Sustainability, 1-22, 2022 | 21 | 2022 |
| AComNN: Attention enhanced Compound Neural Network for financial time-series forecasting with cross-regional features Z Yang, J Keung, MA Kabir, X Yu, Y Tang, M Zhang, S Feng Applied Soft Computing 111, 107649, 2021 | 18 | 2021 |
| Smart contracts vulnerability auditing with multi-semantics Z Yang, J Keung, M Zhang, Y Xiao, Y Huang, T Hui 2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020 | 17 | 2020 |
| Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study S Liu, J Keung, Z Yang, F Liu, Q Zhou, Y Liao 2024 IEEE International Conference on Software Analysis, Evolution and …, 2024 | 16 | 2024 |
| Automated Commit Message Generation with Large Language Models: An Empirical Study and Beyond P Xue, L Wu, Z Yu, Z Jin, Z Yang, X Li, Z Yang, Y Tan IEEE Transactions on Software Engineering 50 (12), 3208 - 3224, 2024 | 11 | 2024 |
| A multi-modal transformer-based code summarization approach for smart contracts. In 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC) Z Yang, J Keung, X Yu, X Gu, Z Wei, X Ma, M Zhang IEEE, 2021 | 9 | 2021 |
| Improving domain-specific neural code generation with few-shot meta-learning Z Yang, JW Keung, Z Sun, Y Zhao, G Li, Z Jin, S Liu, Y Li Information and Software Technology 166, 107365, 2024 | 8 | 2024 |
| Data preparation for deep learning based code smell detection: A systematic literature review F Zhang, Z Zhang, JW Keung, X Tang, Z Yang, X Yu, W Hu Journal of Systems and Software, 112131, 2024 | 5 | 2024 |
| SimAC: simulating agile collaboration to generate acceptance criteria in user story elaboration Y Li, J Keung, Z Yang, X Ma, J Zhang, S Liu Automated Software Engineering 31 (2), 55, 2024 | 2 | 2024 |
| Revisiting Code Smell Severity Prioritization using learning to rank techniques L Liu, G Lin, L Zhu, Z Yang, P Song, X Wang, W Hu Expert Systems with Applications 249, 123483, 2024 | 2 | 2024 |
| Narrepair: Non-autoregressive code generation model for automatic program repair Z Yang, Z Yang, Z Yu arXiv preprint arXiv:2406.16526, 2024 | 2 | 2024 |
| Learning Gaps in Project-based Requirements Engineering Education-A Case Study of Student Projects Y Li, J Keung, X Ma, J Zhang, Z Yang, S Liu 2023 International Symposium on Educational Technology (ISET), 239-243, 2023 | 2 | 2023 |
| SEbox4DL: A modular software engineering toolbox for deep learning models Z Wei, H Wang, Z Yang, WK Chan Proceedings of the ACM/IEEE 44th International Conference on Software …, 2022 | 2 | 2022 |
| Practitioners' Expectations on Log Anomaly Detection X Ma, Y Li, J Keung, X Yu, H Zou, Z Yang, F Sarro, ET Barr arXiv preprint arXiv:2412.01066, 2024 | 1 | 2024 |
Zhi JinProfessor, Peking UniversityDirección de correo verificada de pku.edu.cn