| Improving effort-aware defect prediction by directly learning to rank software modules X Yu, J Rao, L Liu, G Lin, W Hu, JW Keung, J Zhou, J Xiang Information and Software Technology 165, 107250, 2024 | 14 | 2024 |
| Revisiting" code smell severity classification using machine learning techniques" W Hu, L Liu, P Yang, K Zou, J Li, G Lin, J Xiang 2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023 | 6 | 2023 |
| 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 |
| HumanEval-V: Evaluating Visual Understanding and Reasoning Abilities of Large Multimodal Models Through Coding Tasks F Zhang, L Wu, H Bai, G Lin, X Li, X Yu, Y Wang, B Chen, J Keung arXiv preprint arXiv:2410.12381, 2024 | 1 | 2024 |
| Less is More: Unlocking Semi-Supervised Deep Learning for Vulnerability Detection X Yu, G Lin, X Hu, JW Keung, X Xia ACM Transactions on Software Engineering and Methodology, 2024 | 1 | 2024 |
| Enhancing Deep Learning Vulnerability Detection through Imbalance Loss Functions: An Empirical Study Y He, G Lin, X Ma, JW Keung, C Tan, W Hu, F Li Proceedings of the 15th Asia-Pacific Symposium on Internetware, 85-94, 2024 | | 2024 |
