Dr. Chan-Yun Yang
ProfessorNational Taipei University, Taiwan
Highest Degree
Ph.D. in Bio-Mechatronics from National Taiwan University, Taiwan, Republic of China
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National Taipei University, Taiwan
Biography
Dr. Chan-Yun Yang is currently working as Professor at Department of Electrical Engineering, National Taipei University. He has completed his Ph.D. in Bio-Mechatronics from National Taiwan University, Taiwan, Republic of China. Previously he was appointed as R&D Engineer at Department of System Integration, MITAC International Co., Taipei, Taiwan, R&D Chief Engineer, Shin-Tech Enterprises Co., Ltd, Taipei, Taiwan, Research Fellow at National Rehabilitation Engineering Research Center, National Science Council, Associate Professor at Northern Taiwan Institute of Science and Technology, Associate Professor at National Taipei University of Technology, Professor at Taipei Chengshih University of Science & Technology, Taipei, Taiwan, Associate Secretary at Taiwan Rehabilitation Engineering and Assistive Technology Society Taipei, Taiwan, Consultant at T. Ware Pte Ltd Singapore, and Program Committee Member in 12th IEEE International Conference on Networking, Sensing and Control Taipei, Taiwan. Dr. Chan-Yun received honors includes Award of Outstanding Patent Technology of China, Annual academic Research Award, National Taipei University, Winner of gold medal, Winner of gold medal from Seoul International Invention Fair 2009, Seoul, Korea, and Winner of bronze medal. He has published 24 research articles in journals as well as 48 conference papers contributed as author/co-author.
Area of Interest:
Computer Sciences
100%
System Dynamics
62%
Control Systems
90%
Robotics
75%
Neurocomputing
55%
Research Publications in Numbers
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Chapters
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Articles
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Selected Publications
- Yang, C.Y., J.J. Chou and F.L. Lian, 2013. Robust classifier learning with fuzzy class labels for large-margin support vector machines. Neurocomputing, 99: 1-14.
CrossRef | Direct Link | - Su, K.H., F.L. Lian and C.Y. Yang, 2013. Development of vision-based navigation system for wheeled agent. Asian J. Control, 16: 778-794.
CrossRef | Direct Link | - Yang, C.Y., J.S Yang and F.L. Lian, 2012. Safe and smooth: mobile agent trajectory smoothing by svm. Int. J. Innovative Comput. Inf. Control, 8: 4959-4978.
Direct Link | - Yang, C.Y. and W.J. Jun, 2012. ξ-α; estimator for fuzzy support vector machine. Adv. Sci. Lett., 11: 479-484.
CrossRef | Direct Link | - Wang, J.J., B.L. Chen and C.Y. Yang, 2012. Approximation of algebraic and trigonometric polynomials by feedforward neural networks. Neural Comput. Appl., 21: 73-80.
CrossRef | Direct Link | - Hsueh, Y.W. and Y.Y. Chan, 2011. Sensing tool breakage in face milling by support vector machine. Adv. Mater. Res., 264-265: 991-996.
CrossRef | Direct Link | - Yang, C.Y., C.C. Hsu and J.S. Yang, 2009. Stray example sheltering by loss regularized SVM and k NN preprocessor Neural Process. Lett., 29: 7-27.
CrossRef | Direct Link | - YAng, C.Y., J.S. Yang and J.J. Wang, 2009. Margin calibration in SVM class-imbalanced learning. Neurocomputing, 73: 397-411.
CrossRef | Direct Link | - Hsueh, Y.W. and C.Y.Yang, 2009. Tool breakage diagnosis in face milling by support vector machine. J. Mater. Process. Technol., 209: 145-152.
CrossRef | Direct Link | - Yang, C.Y., 2008. Highlighting heterogeneous samples to support vector machines` training Neurocomputing 72: 218-230.
CrossRef | Direct Link | - Hsueh, Y.W. and C.Y.Yang, 2008. Prediction of tool breakage in face milling using support vector machine. Int. J. Adv. Manuf. Technol., 37: 872-880.
CrossRef | Direct Link | - Yang, C.Y., C.C. Hsu and J.S. Yang, 2005. Associating k NN and SVM for higher classification accuracy. Comput. Intell. Secur., 3801: 550-555.
CrossRef | Direct Link | - Yang, C.Y. and J.J. Chou, 2005. A comparative evaluation approach for the classification of rotifers with modified non-parametric kNN. Image Vision Comput., 23: 427-439.
CrossRef | Direct Link | - Yang, C.Y., 2004. Support vector classifier with a fuzzy-value class label. Adv. Neural Networks, 3173: 506-511.
CrossRef | Direct Link | - Yang, C.Y. and J.J. Chou, 2000. Classification of rotifers with machine vision by shape moment invariants. Aquacultural Engineering, 24: 33-57.
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