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Liu Wang

Postdoc
School of CyberSecurity,
Huazhong University of Science and Technology

Wuhan, China

Email: liuwang@hust.edu.cn


About Me

I am a postdoctoral researcher at Huazhong University of Science and Technology (HUST), and my collaborating supervisor is Prof. Haoyu Wang. I obtained my Ph.D. degree from Beijing University of Posts and Telecommunications (BUPT), where I was fortunate to be advised by Prof. Yi Wang. My research interests lie broadly in software engineering, privacy, and responsible AI, with a particular focus on human–AI collaboration. I am especially interested in building secure and trustworthy intelligent systems, including topics such as usable security and privacy, fraud detection and anti-fraud intelligence, AI governance and safety, LLM-driven autonomous agents, and collaborative decision-making frameworks that integrate human expertise with AI capabilities. My work aims to advance the reliability, usability, interpretability, and positive societal impact of intelligent software systems.

News

  • [Nov. 2025] I attended the CCF ChinaSoft 2025 conference in Wuhan, China. It was a pleasure to meet so many fellow professionals.
  • [Nov. 2025] I attended the ASE 2025 Conference in Seoul, South Korea, and gave two oral presentations of our papers – my first conference presentation as a postdoc.
  • [Sep. 2025] I am delighted to announce that I have completed my PhD at BUPT and will be joining HUST to embark on my postdoctoral journey. Heartfelt thanks to my advisors, collaborators, and all those who have supported me along the way!
  • [Jan. 2025] I am truly honored to be awarded the ACM SIGSOFT Frank Anger Memorial Award! Thank you to the committee for this incredible recognition, and to my team for their unwavering support!
  • [Nov. 2024] I attended the CCF ChinaSoft 2024 conference in Xian, China, and was delighted to be invited to speak at the Symposium for Women Scholars in Software Engineering. I enjoyed it very much!
  • [Apr. 2024] I attended the MSR & ICSE 2024 Conference in Lisbon, Portugal, and gave an oral presentation of our paper.
  • [Dec. 2023] I attended the CCF ChinaSoft 2023 conference in Shanghai, China, and was delighted that our team won third prize in the Software Research Prototype System Competition.
  • [Oct. 2023] I attended the China National Computer Congress (CNCC) 2023 Conference in Shenyang, China.
  • [Sep. 2023] I attended the ASE 2023 Conference in Luxembourg, and gave an oral presentation of our paper.
  • [Aug. 2023] I attended the Internetware 2023 Conference in Hangzhou, China, and gave an oral presentation of our paper.
  • [Mar. 2023] I joined the Security Pride Research Group at the National CyberSecurity Centre (NCC) of HUST, in Wuhan, China, working with Prof. Haoyu Wang.
  • [Sep. 2022] I start my PhD journey with Prof. Yi Wang in the Coco Lab @ BUPT!

Publications

( * co-first authorship)

  • A Large-Scale Empirical Study of Secret Key Leakage in Hugging Face Spaces
    Shaoxuan Yun, Yuchao Zhang, Zhikun Shi, Liu Wang, Yi Wang, Yu Bai.
    The 48th International Conference on Software Engineering (ICSE), 2026.
  • On the (In)Security of Non-resettable Device Identifiers in Custom Android Systems
    Zikan Dong*, Liu Wang*, Guoai Xu, Haoyu Wang.
    The 40th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2025.
  • SCOPE: Evaluating and Enhancing Permission Explanation Transparency in Mobile Apps
    Liu Wang*, Tianshu Zhou*, Haoyu Wang, Xiyuan Liu, Yi Wang.
    The 40th IEEE/ACM International Conference on Automated Software Engineering (ASE), Industry track, 2025.
  • A Big Step Forward? A User-Centric Examination of iOS App Privacy Report and Enhancements
    Liu Wang, Dong Wang, Shidong Pan, Zheng Jiang, Haoyu Wang, Yi Wang.
    The 46th IEEE Symposium on Security and Privacy (S&P), 2025.
  • TacDroid: Detection of Illicit Apps through Hybrid Analysis of UI-based Transition Graphs
    Yanchen Lu, Hongyu Lin, Zehua He, Haitao Xu, Zhao Li, Shuai Hao, Liu Wang, Haoyu Wang, Kui Ren.
    The 47th International Conference on Software Engineering (ICSE), 2025.
  • Beyond App Markets: Demystifying Underground Mobile App Distribution Via Telegram
    Yanhui Guo, Dong Wang, Liu Wang, Yongsheng Fang, Chao Wang, Minghui Yang, Tianming Liu, Haoyu Wang.
    ACM SIGMETRICS/Performance (SIGMETRICS), 2025.
  • Android Malware Family Labeling: Perspectives from the Industry
    Liu Wang, Haoyu Wang, Tao Zhang, Haitao Xu, Guozhu Meng, Peiming Gao, Chen Wei, and Yi Wang.
    The 39th IEEE/ACM International Conference on Automated Software Engineering (ASE), Industry track, 2024.
  • Global Prosperity or Local Monopoly? Understanding the Geography of App Popularity
    Liu Wang, Conghui Zheng, Haoyu Wang, Xiapu Luo, Gareth Tyson, Yi Wang, and Shangguang Wang.
    The 21st International Conference on Mining Software Repositories (MSR), 2024.
  • MalCertain: Enhancing Deep Neural Network Based Android Malware Detection by Tackling Prediction Uncertainty
    Haodong Li, Guosheng Xu, Liu Wang, Xusheng Xiao, Xiapu Luo, Guoai Xu, and Haoyu Wang.
    The 46th International Conference on Software Engineering (ICSE), 2024.
  • Re-measuring the Label Dynamics of Online Anti-Malware Engines from Millions of Samples
    Jingjing Wang*, Liu Wang*, Feng Dong, and Haoyu Wang.
    ACM Internet Measurement Conference (IMC), 2023.
  • WeMinT: Tainting Sensitive Data Leaks in WeChat Mini-Programs
    Shi Meng*, Liu Wang*, Shenao Wang, Kailong Wang, Xusheng Xiao, Guangdong Bai, and Haoyu Wang.
    The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023.
  • Ransomware as a Service: Demystifying Android Ransomware Generators
    Can Tu, Liu Wang, Yang Xu, Yiping Zhao, Haitao Xu, and Haoyu Wang.
    The 19th EAI International Conference on Security and Privacy in Communication Networks (SecureComm), 2023.
  • DISTDET: A Cost-Effective Distributed Cyber Threat Detection System
    Feng Dong, Liu Wang, Nie Xu, Fei Shao, Haoyu Wang, Ding Li, Xiapu Luo and Xusheng Xiao.
    The 32th USENIX Security Symposium (USENIX Security), 2023.
  • A Deep Dive into the Featured iOS Apps
    Liu Wang, Haoyu Wang, Huiyi Wang, Li Li, and Yi Wang.
    The 14th Asia-Pacific Symposium on Internetware (Internetware), 2023.
  • MalWhiteout: Reducing Label Errors in Android Malware Detection
    Liu Wang, Haoyu Wang, Xiapu Luo, and Yulei Sui.
    The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2022.
  • Privacy Analysis of Period Tracking Mobile Apps in the Post-Roe v. Wade Era
    Zikan Dong, Liu Wang, Hao Xie, Guoai Xu, and Haoyu Wang.
    A-Mobile Workshop, co-located with ASE'22 (A-Mobile), 2022.
  • What Did You Pack in My App? A Systematic Analysis of Commercial Android Packers
    Zikan Dong*, Hongxuan Liu*, Liu Wang, Xiapu Luo, Yao Guo, Guoai Xu, Xusheng Xiao, and Haoyu Wang.
    ESEC/FSE, Industry track, 2022.
  • Demystifying "Removed Reviews" in iOS App Store
    Liu Wang, Haoyu Wang, Xiapu Luo, Tao Zhang, Shangguang Wang, and Xuanzhe Liu.
    ESEC/FSE, Industry track, 2022.
  • MalRadar: Demystifying Android Malware in the New Era
    Liu Wang, Haoyu Wang, Ren He, Ran Tao, Guozhu Meng, Xiapu Luo, and Xuanzhe Liu.
    ACM SIGMETRICS/Performance (SIGMETRICS), 2022.
  • A Tale of Two Countries: A Longitudinal Cross-Country Study of Mobile Users' Reactions to the COVID-19 Pandemic Through the Lens of App Popularity
    Liu Wang, Haoyu Wang, Yi Wang, Gareth Tyson, and Fei Lyu.
    The 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems (MobileSoft), 2022.
  • A Longitudinal Study of Removed Apps in iOS App Store
    Fuqi Lin*, Haoyu Wang*, Liu Wang, and Xuanzhe Liu.
    The 30th The Web Conference (WWW), 2021.
  • Beyond the Virus: A First Look at Coronavirus-themed Android Malware
    Liu Wang, Ren He, Haoyu Wang, Pengcheng Xia, Yuanchun Li, Lei Wu, Yajin Zhou, Xiapu Luo, Yulei Sui, Yao Guo, and Guoai Xu.
    Empirical Software Engineering (EMSE)
  • A Large-Scale Empirical Study of COVID-19 Themed GitHub Repositories
    Liu Wang, Ruiqing Li, Jiaxin Zhu, Guangdong Bai, and Haoyu Wang.
    IEEE Computer Society Signature Conference on Computers, Software and Applications (COMPSAC), 2021.
  • Understanding the Impact of COVID-19 on Github Developers: A Preliminary Study
    Liu Wang, Ruiqing Li, Jiaxin Zhu, Guangdong Bai, Weihang Su and Haoyu Wang.
    The 33rd International Conference on Software Engineering & Knowledge Engineering (SEKE), 2021.
  • MadDroid: Characterising and Detecting Devious Ad Content for Android Apps
    Tianming Liu, Haoyu Wang, Li Li, Xiapu Luo, Feng Dong, Yao Guo, Liu Wang, Tegawende F. Bissyande, and Jacques Klein.
    The Web Conference (WWW), 2020.
  • Market-level Analysis of Government-backed COVID-19 Contact Tracing Apps
    Huiyi Wang*, Liu Wang*, and Haoyu Wang.
    The International Workshop on Advances in Mobile App Analysis (A-Mobile), 2020.

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