متابعة
Wei Ma
Wei Ma
Researcher @ SMU, Singapore
بريد إلكتروني تم التحقق منه على smu.edu.sg
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Test Selection for Deep Learning Systems‏
WEI MA, M PAPADAKIS, A TSAKMALIS, M CORDY, YLE TRAON‏
ACM Transactions on Software Engineering and Methodology, 2021‏
1072021
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
94*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
522024
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
362022
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
332021
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
26*2024
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
232023
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
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
192024
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
192024
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
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
102022
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
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
72024
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
62024
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
62023
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
CompNet: Neural networks growing via the compact network morphism‏
J Lu, W Ma, B Faltings‏
arXiv preprint arXiv:1804.10316, 2018‏
62018
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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مقالات 1–20