Associate Professor, Master's Supervisor in Management Science and Engineering，Computer Technology, Doctor in Computer Software and Theory, and Vice Dean of Information School at Guangdong University of Finance and Economics. Executive member of the Information Systems Committee of CCF, member of the Expert Database of the Finance and Economics Branch of the Chinese Higher Education Society, expert in the Guangdong Digital Government Resource Pool, Guangdong Enterprise Commissioner, and expert in big data/artificial intelligence from the Guangzhou Industry and Information Technology Commission. She graduated from the State Key Laboratory of Software Engineering of Wuhan University, and Her main research interests are machine learning, natural language processing and big data applications. Hosted and mainly participated in more than 20 projects, including the National Natural Science Foundation of China, National Social Science Projects, and Ministry of Education Humanities and Social Science Projects. Published over 20 academic papers in core journals and important domestic and international academic conferences. Dr. Yin Hua's research direction in recent years has been focused on the application of big data in various fields, combining the needs of finance, education, and law, and utilizing machine learning and data mining techniques to solve practical problems. The related work includes research on high-dimensional imbalanced data classification problems, machine learning based similarity image retrieval technology, and securities user profiling technology based on text sentiment analysis.