Dr. Wang received the B.E. and M.S. degrees in the school of electronics and information engineering from Xi'an Jiaotong University in 2003 and 2006, respectively, and the Ph.D. degree in ECE Department from the University of Calgary, Canada, in 2010. Then, he was a postdoc research fellow in the iRadio lab, Canada, until late 2011 when he became an assistant professor in the Department of Electrical and Computer Engineering (ECE) at New York Institute of Technology and then promoted in 2016 to an associate professor. In 2017, he joined Westlake University as the first full-time faculty in School of Engineering, where he has been acting as the founder and director of Machine Intelligence Laboratory (MiLAB).

Research Interests

Machine Intelligence Laboratory (MiLAB) conducts the pioneering research of Robot Learning, with the mission to endow real robot with high flexibility, fast adaptation and autonomous learning by making use of machine learning algorithms. MiLAB focuses on the following specific topics:

1. Deep Reinforcement Learning Theory

2. Deep Meta-Learning Theory

3. Robot Behavior Intelligence

We investigate reinforcement learning for acquiring behavior flexibility and autonomous learning, meta learning for fast adaptation, and make intelligent decision by simultaneously combing efficient data mining and advanced navigation methods. So far, we have published more than one hundred journal and conference papers, where 50 papers were published in MiLAB (after 2017.9).