Dr. Guang Yih Sheu

He is a member of the Department of Accounting and Information System, Chang-Jung Christian University, Tainan, Taiwan. He teaches database system and data mining in this department. His research focuses on the combination of accounting and data mining techniques. He has recently running a project of developing a graph attention network to detect money laundering crimes. In this graph attention network, nodal features are specially nodal features. 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 model and Benford’s law. The goal of this study is classifying automatically financial reports; thus, the burden of auditors can be released.