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Wei Ma
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Year
An equivalence of fully connected layer and convolutional layer
W Ma, J Lu
arXiv preprint arXiv:1712.01252, 2017
892017
Test Selection for Deep Learning Systems
WEI MA, M PAPADAKIS, A TSAKMALIS, M CORDY, YLE TRAON
ACM Transactions on Software Engineering and Methodology, 2021
842021
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
54*2023
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
302022
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
202021
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
202020
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
Y Sun, D Wu, Y Xue, H Liu, W Ma, L Zhang, M Shi, Y Liu
arXiv preprint arXiv:2401.16185, 2024
162024
Understanding large language model based fuzz driver generation
C Zhang, M Bai, Y Zheng, Y Li, X Xie, Y Li, W Ma, L Sun, Y Liu
arXiv preprint arXiv:2307.12469, 2023
162023
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
152021
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
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
8*2024
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
52018
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
42024
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
32023
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment
Q Hu, Y Guo, M Cordy, X Xie, W Ma, M Papadakis, Y Le Traon
2023 IEEE/ACM 2nd International Conference on AI Engineering–Software …, 2023
32023
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
3*2023
A Comprehensive Study of Governance Issues in Decentralized Finance Applications
W Ma, C Zhu, Y Liu, X Xie, Y Li
arXiv preprint arXiv:2311.01433, 2023
22023
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment
Q Hu, Y Guo, M Cordy, X Xie, W Ma, M Papadakis, YL Traon
arXiv preprint arXiv:2204.04220, 2022
12022
Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation
S Liu, W Ma, J Wang, X Xie, R Feng, Y Liu
arXiv preprint arXiv:2404.09599, 2024
2024
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