Theo dõi
Wei Ma
Wei Ma
Researcher @ SMU, Singapore
Email được xác minh tại smu.edu.sg
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Test Selection for Deep Learning Systems
WEI MA, M PAPADAKIS, A TSAKMALIS, M CORDY, YLE TRAON
ACM Transactions on Software Engineering and Methodology, 2021
1092021
An equivalence of fully connected layer and convolutional layer
W Ma, J Lu
arXiv preprint arXiv:1712.01252, 2017
1012017
LLMs: Understanding Code Syntax and Semantics for Code Analysis
W Ma, S Liu, W Wang, Q Hu, Y Liu, C Zhang, L Nie, Y Liu
100*2023
Llm4vuln: A unified evaluation framework for decoupling and enhancing llms' vulnerability reasoning
Y Sun, D Wu, Y Xue, H Liu, W Ma, L Zhang, Y Liu, Y Li
arXiv preprint arXiv:2401.16185, 2024
592024
Graphcode2vec: Generic code embedding via lexical and program dependence analyses
W Ma, M Zhao, E Soremekun, Q Hu, JM Zhang, M Papadakis, M Cordy, ...
Proceedings of the 19th International Conference on Mining Software …, 2022
372022
Towards exploring the limitations of active learning: An empirical study
Q Hu, Y Guo, M Cordy, X Xie, W Ma, M Papadakis, Y Le Traon
2021 36th IEEE/ACM International Conference on Automated Software …, 2021
342021
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities
W Ma, S Liu, M Zhao, X Xie, Q Hu, J Zhang, W Wang, Y Liu
ACM Trans. Softw. Eng. Methodol., 2024
27*2024
Commit-aware mutation testing
W Ma, T Laurent, M Ojdanić, TT Chekam, A Ventresque, M Papadakis
2020 IEEE International Conference on Software Maintenance and Evolution …, 2020
232020
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
arXiv preprint arXiv:2403.16073, 2024
222024
Understanding large language model based fuzz driver generation
C Zhang, M Bai, Y Zheng, Y Li, W Ma, X Xie, Y Li, L Sun, Y Liu
arXiv e-prints, arXiv: 2307.12469, 2023
222023
An empirical study of automated vulnerability localization with large language models
J Zhang, C Wang, A Li, W Sun, C Zhang, W Ma, Y Liu
arXiv preprint arXiv:2404.00287, 2024
212024
MuDelta: Delta-Oriented Mutation Testing at Commit Time
W Ma, TT Chekam, M Papadakis, M Harman
the 43rd International Conference on Software Engineering (ICSE), 2021
182021
Enhancing code vulnerability detection via vulnerability-preserving data augmentation
S Liu, W Ma, J Wang, X Xie, R Feng, Y Liu
Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on …, 2024
92024
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search
J Zhang, W Ma, Q Hu, S Liu, X Xie, YL Traon, Y Liu
The 2023 Conference on Empirical Methods in Natural Language Processing, 2023
9*2023
On the use of commit-relevant mutants
M Ojdanić, W Ma, T Laurent, TT Chekam, A Ventresque, M Papadakis
Empirical Software Engineering 27 (5), 114, 2022
92022
Sok: Comprehensive analysis of rug pull causes, datasets, and detection tools in defi
D Sun, W Ma, L Nie, Y Liu
arXiv preprint arXiv:2403.16082, 2024
82024
How effective are they? Exploring large language model based fuzz driver generation
C Zhang, Y Zheng, M Bai, Y Li, W Ma, X Xie, Y Li, L Sun, Y Liu
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024
72024
Chatgpt: Understanding code syntax and semantics
W Ma, S Liu, W Wang, Q Hu, Y Liu, C Zhang, L Nie, Y Liu
arXiv preprint arXiv:2305.12138, 2023
72023
Mudelta: Delta-oriented mutation testing at commit time. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)
W Ma, TT Chekam, M Papadakis, M Harman
IEEE, 897ś909, 2021
62021
Evaluating the robustness of test selection methods for deep neural networks
Q Hu, Y Guo, X Xie, M Cordy, W Ma, M Papadakis, YL Traon
arXiv preprint arXiv:2308.01314, 2023
52023
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