Yueming Wu(吴月明)

I am a research fellow in the School of Computer Science and Engineering at Nanyang Technological University advised by Prof. Yang Liu. I received my Ph.D. in Cyberspace Security from Huazhong University of Science and Technology in 2021, advised by Prof. Deqing Zou & Wei Yang, and my B.E. in Information Security from Southwest Jiaotong University in 2016.

News | Research Interest | Publications | Services | Awards
Email: yueming.wu@ntu.edu.sg
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News

Research Interest

 Currently, I focus on the following research topics:

Publications

(#: co-first author, *: corresponding author)

[2024]:

    (CCS'2024) Cong Wu, Jing Chen, Ziming Zhao, Kun He, Guowen Xu, Yueming Wu, Haijun Wang, Hongwei Li, Yang Liu, and Yang Xiang, “TokenScout: Early Detection of Ethereum Scam Tokens via Temporal Graph Learning”, in Proceedings of the ACM Conference on Computer and Communications Security. (CCF-A)

    (ASE NIER'2024) Yueming Wu, Chengwei Liu, Zhengzi Xu, Lyuye Zhang, Yiran Zhang, Zhiling Zhu, and Yang Liu, “The Software Genome Project: Unraveling Software Through Genetic Principles”, in Proceedings of the IEEE/ACM International Conference on Automated Software Engineering (The New Ideas and Emerging Results Track). [PDF]

    (TOSEM'2024) Haojun Zhao, Yueming Wu*, Deqing Zou, Yang Liu, and Hai Jin, “MalSensor: Fast and Robust Windows Malware Classification”, ACM Transactions on Software Engineering and Methodology. [PDF] [Code] (IF2024: 6.6, CCF-A)

    (JOS'2024) 赵浩钧, 邹德清, 薛文杰, 吴月明, 金海, “基于BERT与自编码器的概念漂移恶意软件分类优化方法”, 软件学报. [PDF] (中文CCF-A)

    (ISSTA'2024) Cuiying Gao#, Yueming Wu#, Heng Li, Wei Yuan, Haoyu Jiang, Qidan He, and Yang Liu, “Uncovering and Mitigating the Impact of Code Obfuscation on Dataset Annotation with Antivirus Engines”, in Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis. [PDF] (CCF-A)

    (USENIX Security'2024) Siyue Feng, Yueming Wu*, Wenjie Xue, Sikui Pan, Deqing Zou, Yang Liu, and Hai Jin, “FIRE: Combining Multi-Stage Filtering with Taint Analysis for Scalable Recurring Vulnerability Detection”, in Proceedings of the USENIX Security Symposium. [PDF] [Code] (CCF-A)

    (FSE'2024) Shihan Dou, Yueming Wu*, Haoxiang Jia, Yuhao Zhou, Yan Liu, and Yang Liu, “CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection”, in Proceedings of the ACM International Conference on the Foundations of Software Engineering. [PDF] [Code] (CCF-A)

    (SIGMOD'2024) Anran Li, Yuanyuan Chen, Jian Zhang, Mingfei Cheng, Yihao Huang, Yueming Wu, Anh Tuan Luu, and Han Yu, “Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning”, in Proceedings of the ACM on Management of Data. [PDF] [Code] (CCF-A)

    (TR'2024) Weizhong Qiang, Kunlun Ren, Yueming Wu, Deqing Zou, and Hai Jin, “DeepFPD: Browser Fingerprinting Detection via Deep Learning with Multi-Modal Learning and Attention”, IEEE Transactions on Reliability. [PDF] (IF2024: 5, JCR-Q1)

    (ICSE'2024) Siyue Feng, Wenqi Suo, Yueming Wu*, Deqing Zou, Yang Liu, and Hai Jin, “Machine Learning is All You Need: A Simple Token-based Approach for Effective Code Clone Detection”, in Proceedings of the IEEE/ACM International Conference on Software Engineering. [PDF] [Code] (CCF-A)

    (ICSE'2024) Ruichao Liang, Jing Chen, Kun He, Yueming Wu, Gelei Deng, Ruiying Du, and Cong Wu, “PonziGuard: Detecting Ponzi Schemes on Ethereum with Contract Runtime Behavior Graph (CRBG)”, in Proceedings of the IEEE/ACM International Conference on Software Engineering. [PDF] [Code] (CCF-A)

    (ICSE'2024) Cuiying Gao, Gaozhun Huang, Heng Li, Bang Wu, Yueming Wu, and Wei Yuan, “A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments”, in Proceedings of the IEEE/ACM International Conference on Software Engineering. [PDF] [Code] (CCF-A)


[2023]:

    (TII'2023) Wenxuan Li, Shihan Dou, Yueming Wu*, Chenxi Li, and Yang Liu, “COCL: An Intelligent Framework for Enhancing Deep Learning-based Vulnerability Detection”, IEEE Transactions on Industrial Informatics. [PDF] (IF2023: 12.3, JCR-Q1)

    (TR'2023) Yueming Wu, Siyue Feng, Wenqi Suo, Deqing Zou, and Hai Jin, “Goner: Building Tree-based N-gram-like Model for Semantic Code Clone Detection”, IEEE Transactions on Reliability. [PDF] [Code] (IF2023: 5.9, JCR-Q1)

    (TR'2023) Haojun Zhao, Yueming Wu*, Deqing Zou, and Hai Jin, “An Empirical Study on Android Malware Characterization by Social Network Analysis”, IEEE Transactions on Reliability. [PDF] [Code] (IF2023: 5.9, JCR-Q1)

    (TSE'2023) Yutao Hu, Yilin Fang, Yifan Sun, Yaru Jia, Yueming Wu*, Deqing Zou, and Hai Jin, “Code2Img: Tree-based Image Transformation for Scalable Code Clone Detection”, IEEE Transactions on Software Engineering. [PDF] [Code] (IF2023: 7.4, CCF-A)

    (ESEC/FSE'2023) Deqing Zou, Siyue Feng, Yueming Wu*, Wenqi Suo, and Hai Jin, “Tritor: Detecting Semantic Code Clones by Building Social Network-based Triads Model”, in Proceedings of the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. [PDF] [Code] (CCF-A)

    (ESEC/FSE'2023) Junjie Shan, Shihan Dou, Yueming Wu*, Hairu Wu, and Yang Liu, “Gitor: Scalable Code Clone Detection by Building Global Sample Graph”, in Proceedings of the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. [PDF] [Code] (CCF-A)

    (ISSTA'2023) Yutao Hu, Suyuan Wang, Wenke Li, Junru Peng, Yueming Wu*, Deqing Zou, and Hai Jin, “Interpreters for GNN-based Vulnerability Detection: Are We There Yet?” , in Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis. [PDF] [Code] (CCF-A)

    (ISSTA'2023) Kunlun Ren, Weizhong Qiang, Yueming Wu*, Yi Zhou, Deqing Zou, and Hai Jin, “An Empirical Study on the Effects of Obfuscation on Static Machine Learning-based Malicious JavaScript Detectors”, in Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis. [PDF] [Code] (CCF-A)

    (ISSTA'2023) Tiancheng Hu, Zijing Xu, Yilin Fang, Yueming Wu*, Bin Yuan*, Deqing Zou, and Hai Jin, “Fine-grained Code Clone Detection with Block-based Splitting of Abstract Syntax Tree”, in Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis. [PDF] [Code] (CCF-A)

    (DSN'2023) Kunlun Ren, Weizhong Qiang, Yueming Wu, Yi Zhou, Deqing Zou, and Hai Jin, “JSRevealer: A Robust Malicious JavaScript Detector against Obfuscation”, in Proceedings of the Annual IEEE/IFIP International Conference on Dependable Systems and Network. [PDF]

    (JOS'2023) 胡雨涛, 王溯远, 吴月明*, 邹德清, 李文科, 金海, “基于图神经网络的切片级漏洞检测及解释方法”, 软件学报. [PDF] (中文CCF-A, 入选"2024年度领跑者5000——中国精品科技期刊顶尖学术论文")

    (JOS'2023) 吴月明, 齐蒙, 邹德清, 金海, “基于图卷积神经网络的抗混淆安卓恶意软件检测”, 软件学报. [PDF] (中文CCF-A)

    (ICSE'2023) Jiahui Wu, Zhengzi Xu, Wei Tang, Lyuye Zhang, Yueming Wu, Chengyue Liu, Kairan Sun, Lida Zhao, and Yang Liu, “OSSFP: Precise and Scalable C/C++ Third-Party Library Detection using Fingerprinting Functions”, in Proceedings of the IEEE/ACM International Conference on Software Engineering. [PDF] (CCF-A)

    (ICSE'2023) Yuekun Wang, Yuhang Ye, Yueming Wu*, Weiwei Zhang, Yinxing Xue*, and Yang Liu, “Comparison and Evaluation of Clone Detection Techniques with Different Code Representations”, in Proceedings of the IEEE/ACM International Conference on Software Engineering. [PDF] [Code] (CCF-A)

    (ICSE'2023) Bin Yuan, Yifan Lu, Yilin Fang, Yueming Wu*, Deqing Zou, Zhen Li, Zhi Li, and Hai Jin, “Enhancing Deep Learning-based Vulnerability Detection by Building Behavior Graph Model”, in Proceedings of the IEEE/ACM International Conference on Software Engineering. [PDF] [Code] (CCF-A)


[2022]:

    (TDSC'2022) Yueming Wu, Shihan Dou, Deqing Zou, Wei Yang, Weizhong Qiang, and Hai Jin, “Contrastive Learning for Robust Android Malware Familial Classification”, IEEE Transactions on Dependable and Secure Computing. [PDF] (IF2022: 6.8, CCF-A)

    (COLING'2022) Shihan Dou, Rui Zheng, Ting Wu, SongYang Gao, Junjie Shan, Qi Zhang, Yueming Wu, and Xuanjing Huang, “Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective”, in Proceedings of the International Conference on Computational Linguistics. [PDF] [Code]

    (TDSC'2022) Deqing Zou, Yutao Hu, Wenke Li, Yueming Wu*, Haojun Zhao, and Hai Jin, “mVulPreter: A Multi-granularity Vulnerability Detection System with Interpretations”, IEEE Transactions on Dependable and Secure Computing. [PDF] [Code] (IF2022: 6.8, CCF-A)

    (ASE'2022) Yueming Wu, Siyue Feng, Deqing Zou, and Hai Jin, “Detecting Semantic Code Clones by Building AST-based Markov Chains Model”, in Proceedings of the IEEE/ACM International Conference on Automated Software Engineering. [PDF] [Code] (CCF-A)

    (ASE'2022) Yutao Hu, Deqing Zou, Junru Peng, Yueming Wu*, Junjie Shan, and Hai Jin, “TreeCen: Building Tree Graph for Scalable Semantic Code Clone Detection”, in Proceedings of the IEEE/ACM International Conference on Automated Software Engineering. [PDF] [Code] (CCF-A)

    (TDSC'2022) Ju Jia, Yueming Wu*, Anran Li, Siqi Ma, and Yang Liu*, “Subnetwork-Lossless Robust Watermarking for Hostile Theft Attacks in Deep Transfer Learning Models”, IEEE Transactions on Dependable and Secure Computing. [PDF] (IF2022: 6.8, CCF-A)

    (ICSE'2022) Yueming Wu, Deqing Zou, Shihan Dou, Wei Yang, Duo Xu, and Hai Jin, “VulCNN: An Image-inspired Scalable Vulnerability Detection System”, in Proceedings of the IEEE/ACM International Conference on Software Engineering. [PDF] [Code] (CCF-A)


[2021 and before]:

    (ISSTA'2021) Yueming Wu, Deqing Zou, Wei Yang, Xiang Li, and Hai Jin, “HomDroid: Detecting Android Covert Malware by Social-Network Homophily Analysis”, in Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis. [PDF] [Code] (CCF-A)

    (TOSEM'2021) Deqing Zou, Yueming Wu*, Siru Yang, Anki Chauhan, Wei Yang, Jiangying Zhong, Shihan Dou, and Hai Jin, “IntDroid: Android Malware Detection Based on API Intimacy Analysis”, ACM Transactions on Software Engineering and Methodology. [PDF] (IF2021: 2.7, CCF-A)

    (ASE'2020) Yueming Wu, Deqing Zou, Shihan Dou, Siru Yang, Wei Yang, Feng Cheng, Hong Liang, and Hai Jin, “SCDetector: Software Functional Clone Detection Based on Semantic Tokens Analysis”, in Proceedings of the IEEE/ACM International Conference on Automated Software Engineering. [PDF] [Code] (CCF-A)

    (CJNIS'2020) 张鑫, 羌卫中, 吴月明, 邹德清, 金海, “基于卷积神经网络恶意安卓应用行为模式挖掘”, 网络与信息安全学报. [PDF]

    (ASE'2019) Yueming Wu, XiaoDi Li, Deqing Zou, Wei Yang, Xin Zhang, and Hai Jin, “MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis”, in Proceedings of the IEEE/ACM International Conference on Automated Software Engineering. [PDF] [Code] (CCF-A)

    (IOT'2018) Deqing Zou, Jian Zhao, Weiming Li, Yueming Wu, Weizhong Qiang, Hai Jin, Ye Wu, and Yifei Yang, “A Multigranularity Forensics and Analysis Method on Privacy Leakage in Cloud Environment”, IEEE Internet of Things Journal. [PDF] (IF2018: 5.9, JCR-Q1)


Services

Conference:

  • PC Member of ISSTA'2025
  • PC Member of ISSTA'2024
  • PC Member of OOPSLA'2021 Artifacts-track

Journal:

  • Reviewer of IEEE Transactions on Information Forensics and Security
  • Reviewer of IEEE Transactions on Dependable and Secure Computing
  • Reviewer of ACM Transactions on Software Engineering and Methodology
  • Reviewer of IEEE Transactions on Software Engineering
  • Reviewer of IEEE Transactions on Reliability
  • Reviewer of IEEE Transactions on Industrial Informatics
  • Reviewer of Empirical Software Engineering
  • Reviewer of Automated Software Engineering

Awards
  • 2021, First Prize, Hubei Province Science and Technology Progress Award | Title: "Key Technologies for Intelligent Detection and Protection of Software Security" | 湖北省科技进步奖一等奖

Updating time: 2024.08