Hao Wu will become a dual Ph.D at Xiโ€™an Jiaotong University and The Hong Kong Polytechnic University from 2025.09, under the supervision of Prof. Haijun Wang and Prof. Daniel Xiapu Luo. Before that, he pursued his M.S. degree at Xiโ€™an Jiaotong University (2023-2025) and received his B.S. degree in Automation from Xiโ€™an Jiaotong University in 2023.

His research interest includes blockchain/smart contract security and program analysis, particularly in combining static/dynamic program analysis with large language models to enhance blockchain security.

๐Ÿ’ฌ emmanuel_wh AT stu.xjtu.edu.cn

๐Ÿ”ฅ News

  • 2025.06: ย ๐Ÿš€๐Ÿš€ Our paper ๐Ÿ“‘ โ€œRPHunter: Unveiling Rug Pull Schemes in Crypto Token via Code-and-Transaction Fusion Analysisโ€ is recently released.
  • 2025.06: ย ๐ŸŽ‰๐ŸŽ‰ I passed the qualification assessment, and will become a dual Ph.D at XJTU & PolyU from 2025.09.
  • 2024.11: ย ๐ŸŽ‰๐ŸŽ‰ I won the National Scholarship (China).
  • 2024.08: ย ๐ŸŽ‰๐ŸŽ‰ Our paper ๐Ÿ“‘ โ€œAdvSCanner: Generating Adversarial Smart Contracts to Exploit Reentrancy Vulnerabilities Using LLM and Static Analysisโ€ has been accepted to ASE2024.
  • 2024.08: ย ๐ŸŽ‰๐ŸŽ‰ Our paper ๐Ÿ“‘ โ€œSkyeye: Detecting Imminent Attacks via Analyzing Adversarial Smart Contractsโ€ has been accepted to ASE2024.

๐Ÿ“ Publications

^ denotes equal contribution, # denotes corrsponding author(s).

2025

  • [Pre1] ๐Ÿ“ Hao Wu, Haijun Wang#, Shangwang Li, Yin Wu, Ming Fan, Wuxia Jin, Ting Liu. RPHunter: Unveiling Rug Pull Schemes in Crypto Token via Code-and-Transaction Fusion Analysis. (arXiv 2025). ๐Ÿ”—[Paper]

  • [C4] ๐Ÿ“„ Hao Wu, Haijun Wang#, Shangwang Li, Yin Wu, Ming Fan, Yitao Zhao, Ting Liu. Detecting State Manipulation Vulnerabilities in Smart Contracts Using LLM and Static Analysis. In the 16th International Conference on Internetware: New Idea Track (Internetware New Idea 2025).

  • [C5] ๐Ÿ“„ Chenyang Peng, Haijun Wang#, Yin Wu, Hao Wu, Ming Fan, Yitao Zhao, Ting Liu. ETrace : Event-Driven Vulnerability Detection in Smart Contracts via LLM-Based Trace Analysis. In the 16th International Conference on Internetware: New Idea Track (Internetware New Idea 2025).

  • [C6] ๐Ÿ“„ Shuhao Chang, Xin Li, Jigang Xie, Hao Wu#, Haijun Wang. LiCoVer: LLM-Powered Automated OSS License Compliance Verification. In the 29th International Conference on Engineering of Complex Computer Systems (ICECCS 2025).

  • [C7] ๐Ÿ“„ Shangwang Li, Haijun Wang#, Hao Wu, Yin Wu, Ming Fan, Yitao Zhao, Ting Liu. TEGuard: Verifying Event Completeness and Consistency in Token Contracts via Static Analysis and LLMs. In the 5th International Conference on Computer Science and Blockchain (CCSB 2025).

2024

  • [C1] ๐Ÿ“„ Haijun Wang, Yurui Hu, Hao Wu, Dijun Liu, Chenyang Peng, Yin Wu, Ming Fan, Ting Liu#. Skyeye: Detecting Imminent Attacks via Analyzing Adversarial Smart Contracts. In the 39th IEEE/ACM International Conference on Automated Software Engineering (ASE2024, CCF-A). ๐Ÿ”—[Paper]

  • [C2] ๐Ÿ“„ Yin Wu, Xiaofei Xie, Chenyang Peng, Dijun Liu, Hao Wu, Ming Fan, Ting Liu, Haijun Wang#. AdvSCanner: Generating Adversarial Smart Contracts to Exploit Reentrancy Vulnerabilities Using LLM and Static Analysis. In the 39th IEEE/ACM International Conference on Automated Software Engineering (ASE2024, CCF-A). ๐Ÿ”—[Paper]

  • [C3] ๐Ÿ“„ Yin Wu, Haijun Wang#, Yuanhui Zhang, Xitao Li, Hao Wu, Ming Fan, Ting Liu. Business Compliance Detection of Smart Contracts in Electricity and Carbon Trading Scenarios. In the 35th IEEE International Symposium on Software Reliability Engineering Workshops (ISSRE Workshop 2024). ๐Ÿ”—[Paper]

๐Ÿ“– Educations

  • 2025.09 - 2029.06, Ph.D, The Hong Kong Polytechnic University, Supervisor: Prof. Daniel Xiapu Luo (Expected).
  • 2025.09 - 2029.06, Ph.D, Xiโ€™an Jiaotong University, Supervisor: Prof. Haijun Wang (Expected).
  • 2023.09 - 2025.06, M.S., Xiโ€™an Jiaotong University, Supervisor: Prof. Haijun Wang.
  • 2019.09 - 2023.06, B.s., Xiโ€™an Jiaotong University.

๐ŸŽ– Honors and Awards

  • 2024: National Scholarship, Ministry of Education, China.
  • 2024: Xiaomi Scholarship.
  • 2024: Excellent Graduate Student of Xiโ€™an Jiaotong University.
  • 2023: Outstanding Graduate of Shaanxi Province.
  • 2023: Outstanding Graduate of Xiโ€™an Jiaotong Univerisity.
  • 2023: National Cybersecurity Attack and Defense Exercise for Educational System.
  • 2020,2021,2022: Merit Student of Xiโ€™an Jiaotong University.
  • 2019: Merit Student of Hefei.

๐Ÿฏ Miscellaneous

  • I have a deep passion for rhythm music genres like R&B, Soul, and Funk. Some of my favorite artists include Khalil Fong, David Tao, Prince, and Stevie Wonder et al.

  • Iโ€™m also an avid tennis enthusiast who loves both playing and watching matches. Rafa Nadal is my favorite player. One of my dreams is to watch all four Grand Slam tournaments someday - although my current process on this goal remains at 0/4.