Dr. Guang Yih Sheu

He is a member of the Department of Accounting and Information Systems, at Chang-Jung Christian University, Tainan, Taiwan. He teaches database systems and data mining in this department. His research focuses on the combination of accounting and data mining techniques. He has recently run a project to develop a graph attention network to detect money laundering crimes. In this graph attention network, nodal features are especially important. The project shows that an attention network can be used to search suspicious accounts from excessive financial transaction data. His research mainly focused on artificial intelligence, graph models and Benford’s law. The goal of this study is to classify automatically financial reports; thus, the burden of auditors can be released.