| 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 | 169* | 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 | 137 | 2024 |
| Test Selection for Deep Learning Systems WEI MA, M PAPADAKIS, A TSAKMALIS, M CORDY, YLE TRAON ACM Transactions on Software Engineering and Methodology, 2021 | 135 | 2021 |
| An equivalence of fully connected layer and convolutional layer W Ma, J Lu arXiv preprint arXiv:1712.01252, 2017 | 129 | 2017 |
| 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 | 95 | 2024 |
| 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 | 51* | 2024 |
| 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 | 46 | 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 | 42 | 2021 |
| 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 | 39 | 2024 |
| 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 | 36 | 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 | 29 | 2023 |
| 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 | 24 | 2020 |
| 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 | 20* | 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 | 19 | 2024 |
| 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 | 18 | 2024 |
| 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 | 17 | 2021 |
| Open Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning Z Lin, W Ma, T Lin, Y Zheng, J Ge, J Wang, J Klein, TF Bissyandé, Y Liu, ... ACM Transactions on Software Engineering and Methodology 34 (5), 1-24, 2025 | 14 | 2025 |
| Pathseeker: Exploring llm security vulnerabilities with a reinforcement learning-based jailbreak approach Z Lin, W Ma, M Zhou, Y Zhao, H Wang, Y Liu, J Wang, L Li arXiv preprint arXiv:2409.14177, 2024 | 14 | 2024 |
| 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 | 13 | 2023 |
| A comprehensive study of governance issues in decentralized finance applications W Ma, C Zhu, Y Liu, X Xie, Y Li ACM Transactions on Software Engineering and Methodology 34 (7), 1-31, 2025 | 12 | 2025 |
Yang LiuNanyang Technological UniversityVerified email at ntu.edu.sg
