Dr. YUEN Shiu Yin, Kelvin

   AP, MPhil, HKP, D.Phil. Sus., SMIEEE

   Associate Professor

   Room: G6359   Tel: (852) 3442-7717 

   Fax (EE Dept.): (852) 3442-0562

   Email: kelviny.ee@cityu.edu.hk

Personal Profile

Shiu Yin Yuen, Kelvin was born in Hong Kong. He was awarded the Associateship (AP) in Electronic Engineering by the Hong Kong Polytechnic in 1985, and became the first person to be awarded the MPhil Degree by the Polytechnic in 1988. He was awarded the Doctorial degree (DPhil) from the School of Cognitive and Computing Sciences, University of Sussex, UK in 1992. Dr. Yuen joined City University in 1992 as a Lecturer, and is now an Associate Professor.

He has published more than 30 international journal papers, including IEEE Transactions on Evolutionary Computation, Journal of Machine Learning Research, and International Journal of Computer Vision, and more than 60 international conference papers. (Papers can be found using Google Scholar). Some of his current research focus can be found here.

He has served as Program Committee Member in more than 20 international conferences and Reviewer of more than 30 international journals in his research areas.  Most of his final year projects are socially related. He is particulary interested in developing aids for the visually impaired. He is also interested in ways to reduce myopia and cultivate good phone using habits in young children. He serves as an Adjudicator and Supervisor of the Joint School Science Exhibitions.

He was the recipient of the Hong Kong Government Scholarship for Outstanding Performance in the Secondary School Entrance Examination, the Sir Edward Youde Memorial Fellowship and the Croucher Foundation Scholarship.

His personal sharing may be found in Personal Web Page.

RESEARCH  

Selected Recent Publications

1. Y. Lou, S.Y. Yuen, and G. Chen, “Non-revisiting stochastic search revisted: results, perspecives, and future directions," Swarm and Evolutionary Computation, vol. 61, 100828, March 2021.
2. Y. He and S.Y. Yuen, "Black box algorithm selection by convolutional neural network," Proc. International Conference on Machine Learning, Optimization and Data Science, pp. 264-280, July 2020.
3. S.Y. Yuen, Y. Lou, and X. Zhang, “Selecting evolutionary algorithms for black box design optimization problems,” Soft Computing, vol. 23, pp. 6511-6531, 2019.
4. Y. He, S.Y. Yuen, Y. Lou and X. Zhang, “A Sequential algorithm portfolio approach for black box optimization,” Swarm and Evolutionary Computation, vol. 44, pp. 559-570, 2019.

5. Y. Lou, S.Y. Yuen, and G. Chen, “Evolving benchmark functions for optimization algorithms,” in From Parallel to Emergent Computing, Editors: A. Adamatzky, S. Akl, G. Sirakoulis, Publishers Taylor & Francis/CRC (UK, USA), pp. 239-260, 2019.

6. S.Y. Yuen, C.K. Chow, X. Zhang, and Y. Lou, “Which algorithm should I choose: an evolutionary algorithm portfolio approach,” Applied Soft Computing, vol. 40, pp. 654-673, 2016.
7. S.Y. Yuen and X. Zhang, “On composing an algorithm portfolio,” Memetic Computing, vol. 7, no. 3, pp. 203-214, 2015.
8. X. Zhang and S.Y. Yuen, “A Directional mutation operator for differential evolution algorithms,” Applied Soft Computing, vol. 30, pp. 529-548, 2015.

Full Publication List    Source Code

Research Students

Current Research Students

1. W. Liu

Graduated Research Students

PhD Graduates

1. Y. He, “Techniques for improving black box algorithm selection approaches,” 2020.
2. Y. Lou, “Techniques for improving online and offline history-assisted evolutionary algorithms,” 2017.
3. J.Y. Liang, “A Novel saliency prediction method based on fast radial symmetry transform and its extensions,” 2015.
4. J. Ahlgren, “Automated programming using constrained inductive logic programming”, 2014.
5. X. Zhang, “Techniques for improving differential evolution and artificial bee colony algorithms,” 2013.
6. S.W. Leung, “Applying entire search history for parameter control of evolutionary algorithms,” 2013.
7. C.Y. Lam, “Methodologies of 2D object recognition: a robust hypothesis/verification approach,” 1997.
8. T.S.  Lam, “2-D object recognition by computer: a robust Hough-like prediction/correction approach,” 1995.

MPhil Graduates

1. S.F. Chen, “Graph-based stereo correspondence algorithms and occlusion detection,” 2005.
2. Y.Y. Tsui, “A Study of fast marching method for shape from shading under orthographic and perspective projection,” 2003.
3. C.K. Fong, “A Study of statistical design for genetic algorithm and its application on object localization,” 2001.
4. C.H. Tse, “Object boundary estimation using successive approximating genetic algorithm,” 2000.
5. C.H. Ma, “An Investigation of Hough transform and genetic algorithm for multi-modal pattern recognition,” 1998.

TEACHING

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Research

Quotes

“We all know that there are regions of the human spirit untrammeled by the world of physics. In the mystic sense of the creation around us, in the expression of art, in a yearning towards God, the soul grows upward and finds the fulfillment of something implanted in its nature. The sanction for this development is within us, a striving born with our consciousness or an Inner Light proceeding from a greater power than ours. Science can scarcely question this sanction, for the pursuit of science springs from a striving which the mind is impelled to follow, a questioning that will not be suppressed. Whether in the intellectual pursuits of science or in the mystical pursuits of the spirit, the light beckons ahead and the purpose surging in our nature responds.” –  A. Eddington. 

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