Think before you act -- A Chinese Proverb
I am currently a researcher at D-Wave Systems Inc. , with focus on Sparse Coding and Deep Learning.
Prior to my current employment, I was a postdoctoral fellow (P.D.F) at the Power Disturbance and Signalling Research Lab (PDS Lab) of the University of Alberta, under the supervision of Dr. Wilsun Xu., an IEEE Fellow, from Dec. 2012 - Feb. 2013. From Sept. 2011 to Nov. 2012, I worked as a postdoctoral fellow (P.D.F) in McMaster Institute for Automotive Research and Technology (MacAUTO), under the supervision of Dr. Ali Emadi from 2011 to 2012. From 2010 to 2011, I finished my postdoctoral fellowship in Cognitive Systems Laboratory, McMaster University, under the supervision of Dr. Simon Haykin, a distinguished University Professor and IEEE Life Fellow.
My research interests include the following:
1. Cognitive Dynamic Systems
2. Non-intrusive load monitoring, energy systems, smart grid
3. Machine learning and intelligent systems
4. Sensor networks
My Major Academic Contributions:
• 19 peer-reviewed papers, 28 conference papers, and 4 technical reports.
• Contributed to five books:
o Yanbo Xue and Simon Haykin, Cognitive Radar: A Way of the Future, in preparation.
o Simon Haykin, Neural Networks and Learning Machines, Prentice Hall, 2008 (contributed to almost all experiments)
o Yanbo Xue and Simon Haykin, Neural Networks and Learning Machines: User’s Manual, Prentice Hall, 2009
o Simon Haykin, Cognitive Dynamic Systems, Cambridge University Press (contributed to Chapters 1, 2 and 6).
o Jinkuan Wang and Deying Gu, Spatial Adaptive Signal Processing (in Chinese), Northeastern University Press, 2003, (contributed to Chapters 2, 4 and 6)
• Two patents filed:
o Cognitive tracking radar, Canada and US Patent, US application serial No. 12/588,346. Canada application No. 2,682,428, 2009.
o New generation of radar systems enabled with cognition, US Patent, US application serial No. 61/331,977, 2010.
• Fundamental research on artificial intelligence with application to the control of next generation of intelligent system, exemplified by radar. Pioneering research in a new discipline namely the cognitive dynamic systems.
Four pillars of a cognitive dynamic system include:o Perception-action cycle that integrates a closed-loop feedback system, o Memory implemented by artificial neural networks for storage of stochastic information, o Attention for resource allocation with the goal of transformative information-processing power optimization, and o Intelligence for provision of decision-making strategies in face of environment uncertainties.
It spans over multiple disciplines like signal processing, control theory, information theory, dynamic systems, neural computation, and cognitive science.
• Complicated pattern classification for application in computer-aided image recognition systems.
• Signal processing algorithm development of next-generation communication systems.
Technical Activities and Skills· Served as a reviewer for IEEE Trans. on Signal Processing, IEEE Trans. on Antenna and Propagation, IEEE Trans. on Neural Networks, Journal of Electrical and Computer Engineering, and for several conference papers.