The purpose of computing is insight, not numbers. - R. Hamming
Postdoctoral Fellow, PhD
Synchromedia Laboratory for Multimedia Communication in Tele-presence, Ecole de Technologie Superieure (ETS),
Montreal (QC), Canada, H3C 1K3
E-mail: guoqiang.zhong AT synchromedia.ca
I received my BS degree in Mathematics from Hebei Normal University, my MS degree in Operations Research and Cybernetics from Beijing University of Technology (BJUT), and my PhD in Pattern Recognition and Intelligent Systems from Institute of Automation, Chinese Academy of Sciences (CASIA), in 2004, 2007 and 2011, respectively. Since October 2011, I have been a Postdoctoral Fellow with Synchromedia, ETS.
Research interest:
Artificial intelligence, pattern recognition, document analysis, machine learning, data mining and signal processing
Project:
Manifold learning for ancient document understanding
Selected publications
Jounal:
1. Guoqiang Zhong, Kaizhu Huang, and Cheng-Lin Liu. Joint Learning of Error Correcting Output Codes (ECOC) and Dichotomizers from Data. Neural Computing and Applications. (special issue of ICONIP 2010, doi: 10.1007/s00521-011-0653-z)
Conference:
2. Guoqiang Zhong, Kaizhu Huang, and Cheng-Lin Liu. Low Rank Metric Learning with Manifold Regularization. ICDM, Vancouver, Canada, 2011.
3. Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, and Cheng-Lin Liu. Gaussian Process Latent Random Field. AAAI, Atlanta, USA, 2010.
4. Guoqiang Zhong, Kaizhu Huang, and Cheng-Lin Liu. Learning ECOC and Dichotomizers Jointly from Data. ICONIP, Sydney, Australia, 2010.
5. Guoqiang Zhong, Xinwen Hou, and Cheng-Lin Liu. Relative Distance-based Laplacian Eigenmaps. CJKPR, Nanjing, China, 2009.
6. Guoqiang Zhong and Mohamed Cheriet. Image Patches Analysis for Text Block Identification. (Submitted to ISSPA 2012).
Book chapter:
7. Guoqiang Zhong, Kaizhu Huang, Xinwen hou, and Shiming Xiang. Local Tangent Space Laplacian Eigenmaps. Computational Intelligence.
Technical report:
8. Guoqiang Zhong and Cheng-Lin Liu. Error-Correcting Output Codes Based Ensemble Feature Extraction.
9. Guoqiang Zhong, Kaizhu Huang, and Cheng-Lin Liu. Semi-Supervised Low Rank Metric Learning with Manifold Regularization.