“Zijingang Capital“Seminar Series NO.1

SOURCE: UPCOMING EVENTS          DATE: 2017-06-12

Topic: Investment in the AI Era

Speaker: Zhejiang Jiuzhang Asset Management Co., Ltd. (Magic Square) Chief Executive Officer Dr. Xu Jin

Host: Professor Huang Ying, Director of Capital Market Research Center, Zhejiang University

Time: June 12, 2017 18: 00-19: 30

Venue: Xixi Hall, 1st Floor, Alumni Activity Center (Li Moxi Building), Zijingang Campus, Zhejiang University

Main content: DL introduction, domestic and foreign AI applications in the field of investment, the domestic hedge fund situation, and the future development trend.


About the Speaker:

Ph.D. in school of Information and Information Processing, Zhejiang University, graduated from Zhejiang University Zhu Kezhen College mixed class. The main research fields during his period of Ph.D. is for the robot autonomous navigation, stereoscopic vision, pattern recognition, path planning and machine learning. He once participated in the national "Eleventh Five-Year Plan" unmanned vehicle navigation project, and the national equipment department unmanned car project. He was also one of the main members of the Yutu moon lane visual navigation research project.


Xu shows his great interests in business since his undergraduate period, and has served as technical directors for a number of technology companies, with deep hardware and software development capabilities, industrial experience and excellent leadership skills. At the same time, Xu jin has many years of innovation and practical experience in the field of quantitative hedge fund research. In 2015, he collaborated with partners to create a hedge fund company (Magic Square) that quantified investments in mathematics and computer science. Relying on a powerful system, a unique model, and rigorous risk control, Magic Square always maintain a remarkable investment performance. With the help of science and technology, they always try to walk in the forefront of innovation, using artificial intelligence and other cutting-edge science to optimize the traditional quantitative strategy research method.