Dawei Wang

Security ResearcherBeijing Zhongguancun Laboratory

About

Dawei Wang is an Assistant Researcher at the Beijing Zhongguancun Laboratory. He earned his Bachelor's degree from Huazhong University of Science and Technology in 2017 and completed his Ph.D. at the University of the Chinese Academy of Sciences in 2023, under the supervision of Professor Kai Chen. His research interests primarily focus on software security and natural language processing.

Publications

  1. Hieronym: Leveraging Hierarchical Multi-Source Information for Function Renaming in Stripped Binary

    Xiaoling Zhang, Jian Sun, Dawei Wang*, Chongyu Wang, Li Chen*, Zhaoteng Yan, Peipei Liu, Lixiao Zhang, Dan Li

    Proceedings of the 2026 ACM SIGSAC Conference on Computer and Communications Security

  2. The CodeInverter Suite: Structure- and Data-Aware Binary Decompilation with Efficient LLMs

    Peipei Liu, Jian Sun, Rongkang Sun, Li Chen, Zhaoteng Yan, Xiaoling Zhang, Dawei Wang, Dapeng Sun, Peizheng Zhang, Dan Li

    Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering

  3. The Digital Cybersecurity Expert: How Far Have We Come?

    Dawei Wang, Geng Zhou, Xianglong Li, Yu Bai, Li Chen, Ting Qin, Jian Sun, Dan Li

    2025 IEEE Symposium on Security and Privacy

  4. ProphetFuzz: Fully Automated Prediction and Fuzzing of High-Risk Option Combinations with Only Documentation via Large Language Model

    Dawei Wang, Geng Zhou, Li Chen, Dan Li, Yukai Miao

    Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security

  5. CarpetFuzz: Automatic Program Option Constraint Extraction from Documentation for Fuzzing

    Dawei Wang, Ying Li, Zhiyu Zhang, Kai Chen

    Proceedings of the 32nd USENIX Conference on Security Symposium

  6. Demystifying the vetting process of voice-controlled skills on markets

    Dawei Wang, Kai Chen, Wei Wang

    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

  7. FuzzGuard: Filtering out unreachable inputs in directed grey-box fuzzing through deep learning

    Peiyuan Zong, Tao Lyu, Dawei Wang, Zizhuang Deng, Ruigang Liang, Kai Chen

    Proceedings of the 29th USENIX Conference on Security Symposium

* Corresponding author

Services

  • USENIX Security'27 Program Committee
  • USENIX Security'23 Artifact Evaluation Committee
  • USENIX Security'22 Artifact Evaluation CommitteeDistinguished Artifact Reviewer Award
  • CPSIoTSec'20 Subreviewer
  • Globecom'20 Subreviewer