Dr. Chan-Yun Yang

Professor
National Taipei University, Taiwan

Highest Degree
Ph.D. in Bio-Mechatronics from National Taiwan University, Taiwan, Republic of China

My URL
https://livedna.org/886.9832

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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
System Dynamics
Control Systems
Robotics
Neurocomputing

Selected Publications

  1. 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.
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  2. 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.
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  3. 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.
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  4. Yang, C.Y. and W.J. Jun, 2012. ξ-α; estimator for fuzzy support vector machine. Adv. Sci. Lett., 11: 479-484.
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  5. 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.
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  6. 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.
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  7. 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.
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  8. YAng, C.Y., J.S. Yang and J.J. Wang, 2009. Margin calibration in SVM class-imbalanced learning. Neurocomputing, 73: 397-411.
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  9. 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.
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  10. Yang, C.Y., 2008. Highlighting heterogeneous samples to support vector machines` training Neurocomputing 72: 218-230.
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  11. 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.
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  12. 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.
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  13. 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.
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  14. Yang, C.Y., 2004. Support vector classifier with a fuzzy-value class label. Adv. Neural Networks, 3173: 506-511.
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  15. 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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Member since December, 2015