主讲嘉宾：王勇 新加坡管理大学 助理教授
主持人： 周虹 讲师
时间：2024年6月13日14:30-15:30
地点：致腾楼623会议室
个人简介
Dr. Yong Wang is a tenure-track assistant professor and Lee Kong Chian Fellow at the School of Computing and Information Systems, Singapore Management University (SMU). His research interests include information visualization, visual analytics and applied machine learning, with a special focus on AI-powered data visualization and visual analytics for FinTech, quantum computing and e-learning. His work has been published at premier venues of visualization and human-computer interaction (e.g., IEEE VIS, IEEE TVCG, ACM CHI and EuroVis) and has received multiple paper awards, including the Best Paper Honorable Mention Award at ACM CHI 2022, Best Paper Honorable Mention Awards at IEEE VIS 2021 and Best Paper Award at ACM IUI 2017. He has served as a program committee for IEEE VIS, EuroVis, PacificVis, CIKM, ACM IUI, ChinaVis, and a reviewer for multiple visualization conferences and journals. Before joining SMU, he obtained his PhD degree from the Hong Kong University of Science and Technology.
报告摘要
Cryptocurrency fraud can cause serious financial loss to cryptocurrency investors. However, it is challenging for common investors to identify them in real-world scenarios. In this talk, I will introduce our recent studies on visual analytics for cryptocurrency fraud detection, ranging from transaction-record-driven visual detection of wash trading in NFT transactions and source-code-driven visual identification of Ponzi schemes on Ethereum. Finally, I will briefly discuss how data visualization can facilitate general financial data analysis.
