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Artificial intelligence, pattern recognition, document analysis, machine learning, data mining and signal processing.
Manifold learning for ancient document understanding.
Guoqiang Zhong received his BS degree in Mathematics from Hebei Normal University, Shijiazhuang China, his MS degree in Operations Research and Cybernetics from Beijing University of Technology (BJUT), Beijing China, and his PhD in Pattern Recognition and Intelligent Systems from Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing China, in 2004, 2007 and 2011, respectively. Since October 2011, he has been a Postdoctoral Fellow with the Synchromedia Laboratory for Multimedia Communication in Telepresence, École de Technologie Supérieure (ETS), University of Quebec, Montreal, Canada. Guoqiang has published more than 10 technical papers in the areas of artificial intelligence, pattern recognition, machine learning, data mining and signal processing.