Devign: Effective vulnerability identification by learning comprehensive program semantics via graph neural networks Y Zhou, S Liu, J Siow, X Du, Y Liu Advances in neural information processing systems 32, 2019 | 280 | 2019 |
Retrieval-augmented generation for code summarization via hybrid gnn S Liu, Y Chen, X Xie, J Siow, Y Liu arXiv preprint arXiv:2006.05405, 2020 | 53 | 2020 |
Core: Automating review recommendation for code changes JK Siow, C Gao, L Fan, S Chen, Y Liu 2020 IEEE 27th International Conference on Software Analysis, Evolution and …, 2020 | 30 | 2020 |
Automatic code summarization via multi-dimensional semantic fusing in gnn S Liu, Y Chen, X Xie, JK Siow, Y Liu arXiv preprint arXiv:2006.05405, 2020 | 16 | 2020 |
Spi: Automated identification of security patches via commits Y Zhou, JK Siow, C Wang, S Liu, Y Liu ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (1), 1-27, 2021 | 15 | 2021 |
Androvault: Constructing knowledge graph from millions of android apps for automated analysis G Meng, Y Xue, JK Siow, T Su, A Narayanan, Y Liu arXiv preprint arXiv:1711.07451, 2017 | 14 | 2017 |
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search S Liu, X Xie, J Siow, L Ma, G Meng, Y Liu IEEE Transactions on Software Engineering, 2023 | 11 | 2023 |
Learning program semantics with code representations: An empirical study JK Siow, S Liu, X Xie, G Meng, Y Liu 2022 IEEE International Conference on Software Analysis, Evolution and …, 2022 | 8 | 2022 |
Enhancing security patch identification by capturing structures in commits B Wu, S Liu, R Feng, X Xie, J Siow, SW Lin IEEE Transactions on Dependable and Secure Computing, 2022 | 5 | 2022 |