Hao Wang (王皓)

2020 PHD candidate student of Tsinghua University
FIT 4-206 Tsinghua University, Beijing, China 100084
[email protected]
Network and Information Security Lab (NISL)
Institute for Network Science and Cyberspace
CTFer of Redbud and Tea Deliverers

Education

  • 2020 - Current: Ph.D. candidate in Institute for Network Sciences and Cyberspace, Tsinghua University
  • 2016 - 2020: B.E. in Information Security, University of Science and Technology of Chinese (USTC)

Research Interests

  • Large Language Models
  • AI for Security
  • Binary Code Analysis
  • Fuzzing

Project Experience

  • Machine Language Model [Official Website] [Report] (July 2023 - Present)

    Lead Researcher of machine language model project in collaboration with VUL337 and 01.AI

  • Convolutional Code Search with Layer-wise Attention (July 2019 - June 2020)

    Research Intern at Microsoft Research Asia, Machine Learning Group, Stars of Tomorrow Internship

    Mentors: [Jiang Bian], [Jia Zhang]

Awards and Honors

Publications

  1. ImageRef-VL: Enabling Contextual Image Referencing in Vision-Language Models [paper]

    Jingwei Yi, Junhao Yin, Ju Xu, Peng Bao, Yongliang Wang, Wei Fan, Hao Wang. ArXiv 2025

  2. An Engorgio Prompt Makes Large Language Model Babble On [paper]

    Jianshuo Dong, Ziyuan Zhang, Qingjie Zhang, Tianwei Zhang, Hao Wang, Hewu Li, Qi Li, Chao Zhang, Ke Xu, Han Qiu.

    In the International Conference on Learning Representations (ICLR’25)

  3. SmartTrans: Advanced Similarity Analysis for Detecting Vulnerabilities in Ethereum Smart Contracts [paper]

    Longfei Chen, Hao Wang, Yuchen Zhou, Taiyu Wong, Jialai Wang, Chao Zhang.

    In the IEEE Transactions on Dependable and Secure Computing (TDSC’25)

  4. OpTrans: Enhancing Binary Code Similarity Detection with Function Inlining Re-Optimization [paper]

    Zihan Sha, Yang Lan, Chao Zhang, Hao Wang, Zeyu Gao, Bolun Zhang, Hui Shu.

    To appear in the Empirical Software Engineering (ESE’25)

  5. PromeTrans: Bootstrap Binary Functionality Classification with Knowledge Transferred from Pre-trained Models [paper]

    Zihan Sha, Chao Zhang, Hao Wang, Zeyu Gao, Bolun Zhang, Yang Lan, Hui Shu.

    To appear in the Empirical Software Engineering (ESE’25)

  6. BinQuery: A Novel Framework for Natural Language-Based Binary Code Retrieval [paper]

    Bolun Zhang, Zeyu Gao, Hao Wang, Yuxin Cui, Siliang Qin, Chao Zhang, Kai Chen, Beibei Zhao.

    To appear in _the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA’25)

  7. Virtual Compiler Is All You Need For Assembly Code Search [paper]

    Zeyu Gao, Hao Wang, Yuanda Wang, Chao Zhang.

    In _the Annual Meeting of the Association for Computational Linguistics (ACL’24)

  8. Llasm: Naming Functions in Binaries by Fusing Encoder-only and Decoder-only LLMs [paper]

    Zihan Sha, Hao Wang, Zeyu Gao, Hui Shu, Bolun Zhang, Ziqing Wang, Chao Zhang.

    In the ACM Transactions on Software Engineering and Methodology (TOSEM’24)

  9. Improving ML-based Binary Function Similarity Detection by Assessing and Deprioritizing Control Flow Graph Features [paper]

    Jialai Wang, Chao Zhang, Longfei Chen, Yi Rong, Yuxiao Wu, Hao Wang, Wende Tan, Qi Li, Zongpeng Li.

    In the USENIX Security Symposium (USENIX Security’24)

  10. CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision [paper] [code] [model]

    Hao Wang, Zeyu Gao, Chao Zhang, Zihan Sha, Mingyang Sun, Yuchen Zhou, Wenyu Zhu, Wenju Sun, Han Qiu, Xi Xiao.\

    In the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA’24)

  11. CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection [paper] [code]

    Hao Wang, Zeyu Gao, Chao Zhang, Mingyang Sun, Yuchen Zhou, Han Qiu, Xi Xiao.

    In the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA’24)

  12. How Far Have We Gone in Vulnerability Detection Using Large Language Models [paper] [code] [media report(Chinese)]

    Zeyu Gao, Hao Wang, Yuchen Zhou, Wenyu Zhu, Chao Zhang. ArXiv 2023

  13. kTrans: Knowledge-Aware Transformer for Binary Code Embedding [paper]

    Wenyu Zhu, Hao Wang, Yuchen Zhou, Jiaming Wang, Zihan Sha, Zeyu Gao, Chao Zhang. ArXiv 2023

  14. jTrans: Jump-Aware Transformer for Binary Code Similarity Detection [paper] [code] [media report(Chinese)]

    Hao Wang, Wenjie Qu, Gilad Katz, Wenyu Zhu, Zeyu Gao, Han Qiu, Jianwei Zhuge, Chao Zhang

    In the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA’22), Daejeon, South Korea, July 2022

  15. COSEA: Convolutional code search with layer-wise attention [paper]

    Hao Wang, Jia Zhang, Yingce Xia, Jiang Bian, Chao Zhang, Tie-Yan Liu. ArXiv 2020