| An equivalence of fully connected layer and convolutional layer W Ma, J Lu arXiv preprint arXiv:1712.01252, 2017 | 88 | 2017 |
| Test Selection for Deep Learning Systems WEI MA, M PAPADAKIS, A TSAKMALIS, M CORDY, YLE TRAON ACM Transactions on Software Engineering and Methodology, 2021 | 84 | 2021 |
| 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 | 30 | 2022 |
| 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 | 20 | 2021 |
| 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 | 20 | 2020 |
| 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 | 16 | 2024 |
| 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 | 16 | 2023 |
| 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 | 15 | 2021 |
| 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 | 10 | 2022 |
| 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 | 6 | 2021 |
| CompNet: Neural networks growing via the compact network morphism J Lu, W Ma, B Faltings arXiv preprint arXiv:1804.10316, 2018 | 5 | 2018 |
| 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 | 4 | 2024 |
| 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 | 3 | 2023 |
| 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 | 3 | 2023 |
| 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 | 2 | 2023 |
| 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 | 1 | 2022 |
| 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 |
Mike PapadakisAssociate professor, University of Luxembourg在 uni.lu 的电子邮件经过验证
