Name: Wing W. Y. Ng (WU Yong Xian)
Introduction:
Professor, Ph.D. supervisor
Room B3 A-315,
School of Computer Science & Engineering,
South China University of Technology,
Guangzhou Higher Education Mega Center,
510006, Guangzhou,
P. R. China
Tel: 8620-39380285+3315
E-mail: wingng@scut.edu.cn; wingng@ieee.org
Academic Qualifications
2015.09－now Professor School of Computer Science & Engineering, SCUT
2008.10－2015.08 Associate Professor School of Computer Science & Engineering, SCUT
2006.10－2008.09 Assistant Professor Shenzhen Graduate School, Harbin Institute of Technology
2001.09－2006.09 Ph.D. Department of Computing, Hong Kong Polytechnic University
1997.09－2001.08 B.Sc. (1st Hon.) Department of Computing, Hong Kong Polytechnic University
Areas of Professional Interest
Machine Learning, Neural Networks, Information Retrieval, Non-stationary Learning, Big Data
Scientific Honors and Professional Services
Senior Member, IEEE
Associate Editor, International Journal on Machine Learning and Cybernetics (Springer, SCI)
Member, Technical Committee on Computer Vision, China Computer Federation since 2016
Chair, Guangzhou Chapter, IEEE Systems, Man and Cybernetics Society since 2016
Board of Governor, IEEE Systems, Man and Cybernetics Society (2011 - 2013)
Program Chair, International Conference on Machine Learning and Cybernetics 2015
Vice Program Chair and Publication Chair, IEEE RFID-TA 2010
Publications
Selected Journal Papers
(1)D.S. Yeung, J-C. Li, Wing .W.Y. Ng*, P.P.K. Chan, MLPNN Training via a Multiobjective Optimization of Training Error and Stochastic Sensitivity, IEEE Transactions on Neural Networks and Learning Systems, pp. 978 - 992, 2016
(2)W.W.Y. Ng, G Zeng, J. Zhang, D.S. Yeung, W. Pedrycz, Dual Autoencoders Features for Imbalance Classification Problem, Pattern Recognition, pp. 875 - 889, 2016
(3)W.W.Y. Ng, X. Tian, Y. Lv, D.S. Yeung, W. Pedrycz, Incremental Hashing for Semantic Image Retrieval in Nonstationary Environments, IEEE Transactions on Cybernetics, Early Access, 2016
(4)W.W.Y. Ng, J. Hu, D.S. Yeung, S. Yin, F. Roli, Diversified Sensitivity-based Undersampling for Imbalance Classification Problems, IEEE Transactions on Cybernetics, pp. 2402 - 2412, 2015
(5)Y. Lv, W.W.Y. Ng*, Z. Zeng, D.S. Yeung, P.P.K. Chan, Asymmetric Cyclical Hashing for Large Scale Image Retrieval, IEEE Transactions on Multimedia, pp. 1225 - 1235, 2015
(6)P.P.K. Chan, C. Yang, D.S. Yeung, W.W.Y. Ng, Spam Filtering for Short Messages in Adversarial Environment, Neurocomputing, pp. 167 - 176, 2015
(7)W.W.Y. Ng, Y. Lv, D.S. Yeung, P.P.K. Chan, Two-Phase Mapping Hashing, Neurocomputing, pp. 1423 - 1429, 2015
(8)W.W.Y. Ng, Z-M. He, D.S. Yeung, P.P.K. Chan, Steganalysis Classifier Training via Minimizing Sensitivity for Different Imaging Sources, Information Sciences, pp. 211 - 224, 2014
(9)W.W.Y. Ng, X-L. Liang, J. Li, D.S. Yeung, P.P.K. Chan, LG-Trader: Stock Trading Decision Support based on Feature Selection by Weighted Localized Generalization Error Model, Neurocomputing, pp. 104 - 112, 2014
(10)C-R. Dong, W.W.Y. Ng*, X-Z. Wang, P.P.K. Chan, D.S. Yeung, An Improved Differential Evolution and Its Application to Determining Feature Weights in Similarity-based Clustering, Neurocomputing, pp. 95 - 103, 2014
Research Projects
(1)Neural Network Training based on Localized Generalization Error Model for Non-stationary Classification Problems, China National Science Foundation, P.I., 2016.1-2019.12
(2)Large Scale Image Retrieval and Indexing via a Minimization of Sensitivity Measure of Image Descriptors, China National Science Foundation, P.I., 2013.1-2016.12
(3)Feature and Sample Selection Methods based on Localized Generalization Error Model for Iamge Classification Problems, China National Science Foundation, P.I., 2011.1-2013.12
(4)Program for New Century Excellent Talents in University of China, China Ministry of Education, P.I., 2012.1 - 2013.12
(5)Human Action Recognition and Auto-tagging based on Smart Environment Sensor Data, Key Project of Fundamental Research Funds for the Central Universities, P.I., 2017.1 - 2018.12
(6)Human Action and Event Recognition based on Semi-Supervised Hashing, Key Project of Fundamental Research Funds for the Central Universities, P.I., 2015.1 - 2016.12
(7)Improvement to Smart Grids based on Multiple Classifier Systems, China National Science Foundation, P.I., 2011.1-2013.12
(8)RFID and Sensor-based Productivity Enhancement System for Human-operated Workplace, Hong Kong Innovation and technology Support Programme, Co.I., 2010.11 - 2012.12
