Professor, PhD Supervisor
Office: Room A401,
School of Cyber Science and Engineering,
Huazhong University of Science and Technology (HUST),
I am a Full Professor in the School of Cyber Science and Engineering at Huazhong University of Science and Technology (HUST). Before joining HUST in January 2022, I was an Associate Professor (BUPT "1551 Young Talent Plan") in the School of Computer Science at Beijing University of Posts and Telecommunications (BUPT). I received my PhD degree in Computer Science from Peking University in 2016. I was a Visiting PhD Student at Carnegie Mellon University (2014-2015) and a Visiting Professor at The Hong Kong Polytechnic University (2019).
I am leading the SECURITY PRIDE Research Group (Security, Privacy, and Dependability in Emerging Software Systems). My research covers a wide range of topics in Software Analysis, Privacy and Security, eCrime, Internet/System Measurement, and AI Security.
My recent research projects are mainly focused on:
1) Security, privacy and underground market of the mobile app ecosystem
2) Web3/Blockchain Security
3) AI + Program Analysis, LLM Security
I have published over 100 peer-reviewed papers, including 79 full papers published in top-tier venues (68 CCF-A Papers, and 65 CSRankings Papers). My research usually targets top-tier Software Engineering Venues (ICSE/FSE/ASE/ISSTA), Security Venues (CCS/NDSS/Oakland/USENIXSec), Web and Measurement Venues (WWW/IMC/SIGMETRICS). I have been awarded five best/distinguished paper awards, including WWW 2020 Best Student Paper Award (the first award from China), ACM OOPSLA 2020 Distinguished Paper Award, and ISSTA 2023 Distinguished Paper Award.
My group has released a number of tools and datasets, including BREWasm, LibRadar (LibRadar++), WuKong, CHAMP, and RMVDroid, etc. They have been widely used by the research community and the industry. My research has been covered by over 20 media outlets all around the world, including CoinDesk, Yahoo Finance, Coin Geek, Publish0x, nasdaq.com, Cryptonews CoinGenius, etc.
Miracle or Mirage? A Measurement Study of NFT Rug Pulls
Jintao Huang(s), Ningyu He(s), Kai Ma(s), Jiang Xiao, Haoyu Wang*
SIGMETRICS 2024 PDF
Abusing the Ethereum Smart Contract Verification Services for Fun and Profit
Pengxiang Ma(s)#, Ningyu He(s)#, Yuhua Huang, Haoyu Wang*, Xiapu Luo
NDSS 2024 PDF
Challenges in Decentralized Name Management: The Case of ENS
Pengcheng Xia(s), Haoyu Wang*, Zhou Yu(s), Xinyu Liu(s), Xiapu Luo, Guoai Xu, and Gareth Tyson
The 2022 ACM Internet Measurement Conference (IMC'22) PDF
Exploring Covert Third-party Identifiers through External Storage in the Android New Era
Zikan Dong(s)#, Tianming Liu(s)#, Jiapeng Deng(s), Haoyu Wang*, Li Li, Minghui Yang, Meng Wang, Guosheng Xu, Guoai Xu
USENIX Security 2024 PDF
MalRadar: Demystifying Android Malware in the New Era
Liu Wang(s), Haoyu Wang*, Ren He(s), Ran Tao(s), Guozhu Meng, Xiapu Luo, Xuanzhe Liu
ACM SIGMETRICS 2022 PDF
Mobile App Squatting
Yangyu Hu(s), Haoyu Wang*, Ren He(s), Li Li, Gareth Tyson, Ignacio Castro, Yao Guo, Lei Wu and Guoai Xu.
Proceedings of the Web Conference 2020 (WWW'20) PDF BEST STUDENT PAPER AWARD
Path-Sensitive Code Embedding via Contrastive Learning for Software Vulnerability Detection
Xiao Cheng, Guanqin Zhang, Haoyu Wang, Yulei Sui
The 31st ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA '22) PDF
DeepWukong: Statically Detecting Software Vulnerabilities using Deep Graph Neural
Xiao Cheng(s),Haoyu Wang*, Jiayi Hua(s), Guoai Xu and Yulei Sui.
Proceedings of ACM Transactions on Software Engineering and Methodology (TOSEM) PDF
DeepBackdoor: Black-box Backdoor Attack on Deep Learning Models through Neural Payload
Yuanchun Li, Jiayi Hua(s), Haoyu Wang*, Chunyang Chen and Yunxin Liu.
Proceedings of the 43rd ACM/IEEE International Conference on Software Engineering (ICSE 2021) PDF