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Chi Guotai

Personal Information

Professor   Supervisor of Doctorate Candidates   Supervisor of Master's Candidates  

Enrollment Information

The main research areas of Chi Guotai's research and innovation team at this stage : Application of machine learning methods in credit rating.Research on Credit Rating Theory and Method.

Research direction : Application of machine learning methods in credit rating.Research on Credit Rating Theory and Method Based on Big Data.

Introduction to Admissions Information: Currently, our research focuses on credit ratings in big data environments. Students are required to have a solid foundation in mathematical statistics and machine learning. There is a certain ability to program familiar algorithms, and if you are proficient in machine learning, big data analysis, and credit rating, we give priority.

      In terms of theoretical research, Professor Chi hosted more than 10 projects in the above direction of the National Natural Science Foundation of China and the National Social Science Fund; and the credit rating system for small businesses such as China Postal Savings Bank Head Office and Dalian Bank Head Office.

      In recent years, Professor Chi has presided over more than 10 major projects of the National Social Science Fund, the National Natural Science Foundation, the National Natural Science Foundation, and the National Natural Science Foundation, and nearly 20 provincial-level projects. The remaining projects have published more than 150 papers in important academic journals identified by the National Natural Science Foundation of China. SCI, EI, ISTP included more than 50 papers, published 7 academic monographs, published more than 10 textbooks, 5 provincial and ministerial awards, 3 humanities and social science awards, and 4 provincial and ministerial excellent teaching achievement awards.

    Currently has a complete financial research database and hardware conditions as well as a sound experimental environment.