Prof. Qiguang Miao

Prof. Qiguang Miao

Xidian University, China

Speech Tilte：Domain-adaptive classification algorithm for small sample constraints
Abstract:
In recent years, the application of artificial intelligence has been increasingly refined to different application scenarios, and the corresponding data collection, model training, model tuning and other steps for different application scenarios consume a lot of time and energy, which seriously affects the efficiency of AI technology applications. Therefore, how to migrate the existing mature trained models to other application scenarios is the key problem of applying AI technology. The domain adaptation algorithm focuses on the effective migration of the source domain model to the target domain, which provides an important solution to the above problem.

Biography

Since 2006, Dr. Qiguang Miao has been a Full Professor in School of Computer Science and Technology at Xidian University, Xi'an, China,  and the Director of Machine Learning and Intelligent Image Processing  laboratory (MLIP). His research interests include pattern recognition,  machine learning, and malware behavior analysis. In 2012, Dr. Miao was selected as a member of the program for New Century Excellent Talents in University of China by theMinistry of Education (MOE).  In 2012, he obtained the third prize of the Chongqing Science and Technolgy Award. So far, Dr. Miao is a Member ofIEEE; Member of ACM ; IEEE CS Society; Senior Member of China Computer Federation (CCF) and AC of CCF YOCSEF , an Executive member of Artificial Intelligent and pattern Recognition Council of CCF, and Members of Editorial board for IOT, etc.