Wei Ma

According to our database, Wei Ma authored at least 40 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

An Empirical Study of Exploring the Capabilities of Large Language Models in Code Learning.

Shangqing Liu, Daya Guo, Jian Zhang, Wei Ma, Yanzhou Li, Yang Liu

IEEE Trans. Software Eng., November, 2025

A Comprehensive Study of Governance Issues in Decentralized Finance Applications.

Wei Ma, Chenguang Zhu, Ye Liu, Xiaofei Xie, Yi Li

ACM Trans. Softw. Eng. Methodol., September, 2025

Assessing the Robustness of Test Selection Methods for Deep Neural Networks.

Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Lei Ma, Yves Le Traon

ACM Trans. Softw. Eng. Methodol., September, 2025

Prompt Stability in Code LLMs: Measuring Sensitivity across Emotion- and Personality-Driven Variations.

Wei Ma, Yixiao Yang, Jingquan Ge, Xiaofei Xie, Lingxiao Jiang

CoRR, September, 2025

VulnRepairEval: An Exploit-Based Evaluation Framework for Assessing Large Language Model Vulnerability Repair Capabilities.

Weizhe Wang, Wei Ma, Qiang Hu, Yao Zhang, Jianfei Sun, Bin Wu, Yang Liu, Guangquan Xu, Lingxiao Jiang

CoRR, September, 2025

Rethinking Testing for LLM Applications: Characteristics, Challenges, and a Lightweight Interaction Protocol.

Wei Ma, Yixiao Yang, Qiang Hu, Shi Ying, Zhi Jin, Bo Du, Zhenchang Xing, Tianlin Li, Junjie Shi, Yang Liu, Linxiao Jiang

CoRR, August, 2025

Open Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning.

Zhihao Lin, Wei Ma, Tao Lin, Yaowen Zheng, Jingquan Ge, Jun Wang, Jacques Klein, Tegawendé F. Bissyandé, Yang Liu, Li Li

ACM Trans. Softw. Eng. Methodol., June, 2025

Towards Secure Program Partitioning for Smart Contracts with LLM's In-Context Learning.

Ye Liu, Yuqing Niu, Chengyan Ma, Ruidong Han, Wei Ma, Yi Li, Debin Gao, David Lo

CoRR, February, 2025

Detecting DeFi Fraud With a Graph-Transformer Language Model.

Wei Ma, Junjie Shi, Jiaxi Qiu, Cong Wu, Jing Chen, Lingxiao Jiang, Shangqing Liu, Yang Liu, Yang Xiang

IEEE Trans. Inf. Forensics Secur., 2025

SoK: A Taxonomic Analysis of DeFi Rug Pulls: Types, Dataset, and Tool Assessment.

Dianxiang Sun, Wei Ma, Liming Nie, Yang Liu

Proc. ACM Softw. Eng., 2025

HapRepair: Learn to Repair OpenHarmony Apps.

Zhihao Lin, Mingyi Zhou, Wei Ma, Chi Chen, Yun Yang, Jun Wang, Chunming Hu, Li Li

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph.

Hanxiang Xu, Wei Ma, Ting Zhou, Yanjie Zhao, Kai Chen, Qiang Hu, Yang Liu, Haoyu Wang

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Combining Fine-Tuning and LLM-Based Agents for Intuitive Smart Contract Auditing with Justifications.

Wei Ma, Daoyuan Wu, Yuqiang Sun, Tianwen Wang, Shangqing Liu, Jian Zhang, Yue Xue, Yang Liu

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

An Analytical Perspective on Software Engineering for Large Language Models.

Tianlin Li, Qiang Hu, Chong Wang, Jian Zhang, Wei Ma, Aishan Liu, Jingyi Wang, Yang Liu

Proceedings of the Engineering of Complex Computer Systems - 29th International Conference, 2025

2024

Automated Commit Intelligence by Pre-training.

Shangqing Liu, Yanzhou Li, Xiaofei Xie, Wei Ma, Guozhu Meng, Yang Liu

ACM Trans. Softw. Eng. Methodol., November, 2024

Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities.

Wei Ma, Shangqing Liu, Mengjie Zhao, Xiaofei Xie, Wenhan Wang, Qiang Hu, Jie Zhang, Yang Liu

ACM Trans. Softw. Eng. Methodol., September, 2024

Towards Exploring the Limitations of Test Selection Techniques on Graph Neural Networks: An Empirical Study.

Xueqi Dang, Yinghua Li, Wei Ma, Yuejun Guo, Qiang Hu, Mike Papadakis, Maxime Cordy, Yves Le Traon

Empir. Softw. Eng., September, 2024

A Code Knowledge Graph-Enhanced System for LLM-Based Fuzz Driver Generation.

Hanxiang Xu, Wei Ma, Ting Zhou, Yanjie Zhao, Kai Chen, Qiang Hu, Yang Liu, Haoyu Wang

CoRR, 2024

PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach.

Zhihao Lin, Wei Ma, Mingyi Zhou, Yanjie Zhao, Haoyu Wang, Yang Liu, Jun Wang, Li Li

CoRR, 2024

An Empirical Study of Automated Vulnerability Localization with Large Language Models.

Jian Zhang, Chong Wang, Anran Li, Weisong Sun, Cen Zhang, Wei Ma, Yang Liu

CoRR, 2024

SoK: Comprehensive Analysis of Rug Pull Causes, Datasets, and Detection Tools in DeFi.

Dianxiang Sun, Wei Ma, Liming Nie, Yang Liu

CoRR, 2024

LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning.

Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Wei Ma, Lyuye Zhang, Miaolei Shi, Yang Liu

CoRR, 2024

Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation.

Shangqing Liu, Wei Ma, Jian Wang, Xiaofei Xie, Ruitao Feng, Yang Liu

Proceedings of the 25th ACM SIGPLAN/SIGBED International Conference on Languages, 2024

How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation.

Cen Zhang, Yaowen Zheng, Mingqiang Bai, Yeting Li, Wei Ma, Xiaofei Xie, Yuekang Li, Limin Sun, Yang Liu

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

An Empirical Study on Noisy Label Learning for Program Understanding.

Wenhan Wang, Yanzhou Li, Anran Li, Jian Zhang, Wei Ma, Yang Liu

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Evaluating the Robustness of Test Selection Methods for Deep Neural Networks.

Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Yves Le Traon

CoRR, 2023

Understanding Large Language Model Based Fuzz Driver Generation.

Cen Zhang, Mingqiang Bai, Yaowen Zheng, Yeting Li, Xiaofei Xie, Yuekang Li, Wei Ma, Limin Sun, Yang Liu

CoRR, 2023

An Empirical Study on the Effectiveness of Noisy Label Learning for Program Understanding.

Wenhan Wang, Yanzhou Li, Anran Li, Jian Zhang, Wei Ma, Yang Liu

CoRR, 2023

The Scope of ChatGPT in Software Engineering: A Thorough Investigation.

Wei Ma, Shangqing Liu, Wenhan Wang, Qiang Hu, Ye Liu, Cen Zhang, Liming Nie, Yang Liu

CoRR, 2023

RNNS: Representation Nearest Neighbor Search Black-Box Attack on Code Models.

Jie Zhang, Wei Ma, Qiang Hu, Xiaofei Xie, Yves Le Traon, Yang Liu

CoRR, 2023

A Black-Box Attack on Code Models via Representation Nearest Neighbor Search.

Jie Zhang, Wei Ma, Qiang Hu, Shangqing Liu, Xiaofei Xie, Yves Le Traon, Yang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment.

Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon

Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

2022

On the use of commit-relevant mutants.

Milos Ojdanic, Wei Ma, Thomas Laurent, Thierry Titcheu Chekam, Anthony Ventresque, Mike Papadakis

Empir. Softw. Eng., 2022

Is Self-Attention Powerful to Learn Code Syntax and Semantics?

Wei Ma, Mengjie Zhao, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jie Zhang, Wenhan Wang, Yang Liu

CoRR, 2022

Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment.

Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon

CoRR, 2022

GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses.

Wei Ma, Mengjie Zhao, Ezekiel O. Soremekun, Qiang Hu, Jie M. Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

2021

Test Selection for Deep Learning Systems.

Wei Ma, Mike Papadakis, Anestis Tsakmalis, Maxime Cordy, Yves Le Traon

ACM Trans. Softw. Eng. Methodol., 2021

Towards Exploring the Limitations of Active Learning: An Empirical Study.

Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

MuDelta: Delta-Oriented Mutation Testing at Commit Time.

Wei Ma, Thierry Titcheu Chekam, Mike Papadakis, Mark Harman

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Commit-Aware Mutation Testing.

Wei Ma, Thomas Laurent, Milos Ojdanic, Thierry Titcheu Chekam, Anthony Ventresque, Mike Papadakis

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020