Prof. Xiaofan Liu is a computational social scientist at City University of Hong Kong. His research leverages AI and network science to decode human behavior and systemic risks within Web3 ecosystems and online platforms. His work bridges academia and practice, with multiple startups and applications in digital finance, internet governance, and anti-scam systems. He is the director of the
CityUHK - China Unicom Joint Laboratory for Intelligent Scam Prevention.
Research Highlights
Scam Studies
- Our research applies large language models (LLMs), media studies, and psychological insights to better understand and combat online scams.
- Our joint project with China Unicom Global Ltd., “Pioneering Technology, Linking the World: Big Data and AI’s New Role in Scam Prevention” was recognised as one of thirteen Outstanding Cases of Jointly Building a Community with a Shared Future in Cyberspace by the World Internet Conference Wuzhen Summit 2024. News by CGTN
- Read more.
Web3
- Cryptocurrencies (e.g., Bitcoin), tokens issued on blockchain systems (e.g., USDT), and their derivative applications (e.g., RWAs), are the frontier of financial technology (FinTech). This frontier is also known as the Web3 industry. Our team does four lines of research in this area:
1. Cryptocurrency Transaction Analysis from a Network Perspective. All cryptocurrencies' transactions are publicly recorded in blockchains. We analyze blockchain data to unfold a panorama of human behaviors.
2. Decentralized Autonomous Organizations is a new way of online collaboration, where members make collaborative decisions with online deliberation and token-based voting. We analyze their social and transactional behavior to understand how humans may collaborate in the future.
3. Cryptocurrencies, Web3 as well, may not be tamable by the current regulatory frameworks after all. However, rebuilding the conventional financial system with Web3-proven technologies might be possible. So, why not?
- We thank the RGC (and more importantly all the reviewers) for the support to our research project Balancing DAO Governance: The Interplay of Organizational Structure, Decision-making, and Sustainability and the ITC for supporting our commercialization efforts in the Laboratory for AI-Powered Financial Technologies Ltd.
- Media Coverage: The Spectacular Collapse of CryptoKitties, the First Big Blockchain Game, IEEE Spectrum, August 2022.
AIGC
- Our research group is actively exploring various applications of recent AIGC technologies, such as large language models, diffusion models, and agentic frameworks, to advance social science research and address practical issues.
- We express our gratitude to the Bill & Melinda Gates Foundation for their support of our project, "AI for Farmers: A Speech Dialog App for Pesticide Safe Use," with their Catalyzing Equitable Artificial Intelligence (AI) Use Grand Challenges initiatives.
Dark Web
- The dark web are web services running on the darknet, which is a set of computer servers connected by and can only be accessed from encrypted networks. A common impression associated with the dark web is drug trading. But there is much more going on in that corner of the Internet. The dark web can also be considered an anonymous communication channel from the perspective of communication theory, underpinning human communication in an extremely covert environment.
- Try out dark web search engine https://hkaift.com/darkweb-search/
Data curation, analysis, and modeling for COVID-19
Selected Works
Book
- 刘肖凡, & 谢智刚. (2015). 知诸网: 网络科学及其在艺术、金融和社会学中的应用. 科学出版社, 北京.
Selected Papers
- [Scam Studies] Liu, X. F., Ai, Y., Jiang, L. C., Wang, X., & Wu, Y. (2024). Understanding the human element in scams: a multidisciplinary approach. Journal of Information Technology Case and Application Research, 27(1), 9–24.. https://doi.org/10.1080/15228053.2024.2439192
- [Web3] Fan, J., Ai, Y., Liu, X. F.* (2024). DAO’s Governance Paradox: Balancing Organizational Structures for Business and Communal Goals. The 74st Annual International Communication Association Conference (ICA2024), June 2024. (Top Paper Award and Top Student Paper Award by the Organizational Communication Division at ICA 2024.)
- [Human Behavior] Liu, X. F., Wang, Z.-Z., Xu, X.-K., Wu, Y., Zhao, Z., Deng, H., Wang, P., Chao, N., & Huang, Y.-H. (2023). The shock, the coping, the resilience: Smartphone application use reveals COVID-19 lockdown effects on human behaviors. EPJ Data Science. 12, 17. https://doi.org/10.1140/epjds/s13688-023-00391-9
- [Dark Web] Chen, Z., Jardine, E., Liu, X. F.*, & Zhu, J. J. H. (2022). Seeking Anonymity on the Internet: The Knowledge Accumulation Process and Global Usage of the Tor Network. New Media & Society, 26(2), 1074-1095. https://doi.org/10.1177/14614448211072201.
- [COVID-19] Liu, X. F., Xu, X. K., & Wu, Y. (2021). Mobility, exposure, and epidemiological timelines of COVID-19 infections in China outside Hubei province. Scientific Data, 8, 54. https://doi.org/10.1038/s41597-021-00844-8
Patents
- Liu, X. F., Fu, Z., Yan, J., "METHOD AND APPARATUS FOR CLASSIFYING A CRYPTOCURRENCY ASSET", US Patent, Filed, No. 18/772,118; Hong Kong Short-Term Patent, Granted, No. HK30107829; US Patent, Published, No. US-2025-0378504-A1.
- 刘肖凡、李正龙,“一种基于在线社交平台群聊数据对群成员进行关联的系统及方法”,中国发明,专利号 ZL 2016 1 0482435.3, 授权日期2020年3月31日.
- 刘肖凡、李正龙,“基于在线社交平台群聊消息的群组间消息传播路径挖掘方法与系统”,中国发明,专利号 ZL 2017 1 01154048.7, 授权日期2020年8月11日.
- 蔡成委、韦志群、刘肖凡,“一种基于用户画像动态轨迹模型的广告推荐方法及系统”,中国发明,公开号 CN108665083A,公开日期2018年10月16日.
- 庆光蔚、王会方、丁树庆、冯月贵、刘肖凡、高逸夫、胡静波、冯文龙、韩郡业、张军、米涌、王建华、梁秉、方铭杰,“一种基于最小加权时间距离的电梯救援站点最优选址方法”,中国发明,专利号 ZL 2017 1 0236990.2, 授权日期2018年9月25日. (国家市场监管总局2020年度市场监管科研成果二等奖)
Teaching
Professional Services
- Associate Editor, IEEE Transactions on Computational Social Systems
- Associate Editor, Frontiers in Blockchain
- Guest Editor, IET Blockchain
- Guest Editor, Frontiers in Physics
- Guest Editor, Mathematics