Shangqing Liu
Cited by
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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, 10197-10207, 2019
Retrieval-augmented generation for code summarization via hybrid gnn
S Liu, Y Chen, X Xie, J Siow, Y Liu
International Conference on Learning Representations, 2020
DeepCount: Crowd counting with Wi-Fi using deep learning
Y Zhao, S Liu, F Xue, B Chen, X Chen
Journal of Communications and Information Networks 4 (3), 38-52, 2019
ATOM: Commit message generation based on abstract syntax tree and hybrid ranking
S Liu, C Gao, S Chen, LY Nie, Y Liu
IEEE Transactions on Software Engineering 48 (5), 1800-1817, 2020
WiCount: A deep learning approach for crowd counting using WiFi signals
S Liu, Y Zhao, B Chen
2017 IEEE International Symposium on Parallel and Distributed Processing …, 2017
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
Do different cross‐project defect prediction methods identify the same defective modules?
X Chen, Y Mu, Y Qu, C Ni, M Liu, T He, S Liu
Journal of Software: Evolution and Process 32 (5), e2234, 2020
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, 2021
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
A unified framework to learn program semantics with graph neural networks
S Liu
Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020
Device-free secure interaction with hand gestures in wifi-enabled iot environment
Y Zhao, R Gao, S Liu, L Xie, J Wu, H Tu, B Chen
IEEE Internet of Things Journal 8 (7), 5619-5631, 2020
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
TransRepair: Context-aware Program Repair for Compilation Errors
X Li, S Liu, R Feng, G Meng, X Xie, K Chen, Y Liu
Proceedings of the 37th ACM/IEEE International Conference on Automated …, 2022
CommitBART: A Large Pre-trained Model for GitHub Commits
S Liu, Y Li, Y Liu
arXiv preprint arXiv:2208.08100, 2022
WiSmart: Robust human access and identification for smart homes using WiFi signals
S Liu, Y Zhao, B Chen
Cloud Computing and Security: Third International Conference, ICCCS 2017 …, 2017
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning
S Liu, B Wu, X Xie, G Meng, Y Liu
The 45th IEEE/ACM International Conference on Software Engineering, 2023
Is Self-Attention Powerful to Learn Code Syntax and Semantics?
W Ma, M Zhao, X Xie, Q Hu, S Liu, J Zhang, W Wang, Y Liu
arXiv preprint arXiv:2212.10017, 2022
A Tree-structured Transformer for Program Representation Learning
W Wang, K Zhang, G Li, S Liu, Z Jin, Y Liu
2023 IEEE International Conference on Software Analysis, Evolution and …, 2022
Learning program semantics via exploring program structures with deep learning
S Liu
Nanyang Technological University, 2022
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