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Shangqing Liu
Shangqing Liu
Verified email at nju.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
14862019
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
250*2020
Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study
Q Guo, J Cao, X Xie, S Liu, X Li, B Chen, X Peng
The 46th International Conference on Software Engineering, 2023
1802023
The scope of chatgpt in software engineering: A thorough investigation
W Ma, S Liu, W Wang, Q Hu, Y Liu, C Zhang, L Nie, Y Liu
arXiv preprint arXiv:2305.12138, 2023
169*2023
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
1422020
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
123*2019
Badedit: Backdooring large language models by model editing
Y Li, T Li, K Chen, J Zhang, S Liu, W Wang, T Zhang, Y Liu
International Conference on Learning Representations, 2024
1162024
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
992021
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
The 47th International Conference on Software Engineering, 2024
952024
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
952021
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
942023
SpecGen: Automated Generation of Formal Program Specifications via Large Language Models
L Ma, S Liu, Y Li, X Xie, L Bu
The 47th International Conference on Software Engineering, 2024
752024
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
752017
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
722022
Multi-target Backdoor Attacks for Code Pre-trained Models
Y Li, S Liu, K Chen, X Xie, T Zhang, Y Liu
The 61st Annual Meeting of the Association for Computational Linguistics., 2023
682023
Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases
Z Tang, J Ge, S Liu, T Zhu, T Xu, L Huang, B Luo
The 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
552023
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities
W Ma, S Liu, M Zhao, Q Hu, J Zhang, W Wang, Y Liu
ACM Transactions on Software Engineering and Methodology, 2024
51*2024
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
492022
Contrastrepair: Enhancing conversation-based automated program repair via contrastive test case pairs
J Kong, M Cheng, X Xie, S Liu, X Du, Q Guo
ACM Transactions on Software Engineering and Methodology, 2024
482024
TransRepair: Context-aware Program Repair for Compilation Errors
X Li, S Liu, R Feng, G Meng, X Xie, K Chen, Y Liu
The 37th ACM/IEEE International Conference on Automated Software Engineering, 2022
432022
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Articles 1–20