Shiu Yin, Kelvin
AP, MPhil, HKP, D.Phil. Sus., SMIEEE
Department of Electronic Engineering, City University of Hong Kong
Room: G6359 Tel: (852) 3442-7717 Fax
(EE Dept.): (852)
Research Interests: Evolutionary Computation +
Machine Learning + Computer Vision
Selected Recent Publications Source Code Research Students Research Student
Personal Web Page Courses Useful Links
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
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.
He is Program Committee Member of International Conference on Machine Learning,
Optimization and Data Science. He was Program Co-chair of International
Conference on Natural Computation 2013 and has served as Program Committee
Member in 17 international conferences. He is Coordinator of Community of Practice for Social
Responsibility and Ethics. He
collaborates with the Hong Kong Blind Union to develop aids
for the visually impaired. Recently, he is also interested in ways to
reduce myopia and other eye diseases 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.
Selected Recent Publications
Evolutionary Computation +
- Y. He, S.Y. Yuen, Y. Lou and X. Zhang, “A Sequential
algorithm portfolio approach for black box optimization,” Swarm and
Evolutionary Computation, doi.org/10.1016/j.swevo.2018.07.001
- S.Y. Yuen, Y. Lou, and X. Zhang, "Selecting
evolutionary algorithms for black box design optimization problems," Soft
Computing, doi:10.1007/s00500-018-3302-y, 2018.
Lou and S.Y. Yuen, "On constructing alternative benchmark suite for
evolutionary algorithms," Swarm and Evolutionary Computation, doi:10.1016/j.swevo.2018.04.005,
- Y. He, S.Y. Yuen, and Y. Lou, “Exploratory landscape
analysis using algorithm based sampling,” Proc. Genetic and
Evolutionary Computation Conference (GECCO), July 2018, pp. 211-212.
- Y. Lou, S.Y. Yuen, and G. Chen, “Evolving benchmark
functions using Kruskal-Wallis test,” Proc.
Genetic and Evolutionary Computation
Conference (GECCO), July 2018, pp. 1337-1341.
- Y. He, S.Y. Yuen, and Y. Lou, “A Bayesian restarting
approach to algorithm selection,” Lecture
Notes in Computer Science, vol. 10593, pp. 397-408, 2017.
- Y. Lou and S.Y. Yuen, “A Sequential learnable
evolutionary algorithm with a novel knowledge base generation method,” Lecture Notes in Computer Science,
vol. 10593, pp. 51-61, 2017.
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.
Yuen, X. Zhang, and Y. Lou, “Sequential learnable evolutionary algorithm:
a research program,” Proc. IEEE International
Conference on Systems, Man, and Cybernetics, pp. 2841-2848, Oct.,
Yuen and X. Zhang, “On composing an algorithm portfolio,” Memetic Computing, vol. 7, no. 3,
pp. 203-214, 2015.
Yuen and X. Zhang, “Multiobjective
evolutionary algorithm portfolio: choosing suitable algorithm for
multiobjective optimization problem,” Proc. IEEE Congress on Evolutionary Computation (CEC), pp.
1967-1973, July 2014.
- Y. Lou and S.Y. Yuen, “Non-revisiting genetic algorithm
with adaptive mutation using constant memory,” Memetic Computing, vol. 8, no. 3, pp. 189-210, 2016.
Zhang and S.Y. Yuen, “A Directional mutation operator for differential
evolution algorithms,” Applied Soft
Computing, vol. 30, pp. 529-548, 2015.
Chow and S.Y. Yuen, “A Dynamic
history-driven evolutionary algorithm,” Proc. IEEE Congress on Evolutionary Computation (CEC), pp.
1558-1564, July 2014.
Zhang, X. Zhang, S.Y. Yuen, S.L. Ho, and W.N. Fu, “An improved artificial
bee colony algorithm for optimal design of electromagnetic devices,” IEEE Transactions on Magnetics,
vol. 49, no. 8, pp. 4811-4816, 2013.
Zhang and S.Y. Yuen, “Improving artificial
bee colony with one-position inheritance mechanism,” Memetic Computing, vol. 5, no. 3, pp. 187-211, 2013.
Leung, S.Y. Yuen, and C.K. Chow, “Parameter control system of evolutionary
algorithm that is aided by the entire search history,” Applied Soft Computing, vol. 12,
no. 9, pp. 3063-3078, 2012.
Chow and S.Y. Yuen, “A Multi-objective evolutionary algorithm that
diversifies population by its density,” IEEE Transactions on Evolutionary Computation, vol. 16, no. 2,
pp. 149-172, 2012.
Chow and S.Y. Yuen, “An Evolutionary algorithm that makes decision based
on the entire previous search history,” IEEE Transactions on Evolutionary Computation, vol. 15, no. 6,
pp. 741-769, 2011.
- S.Y. Yuen and C.K. Chow, “A Genetic algorithm
that adaptively mutates and never revisits,” IEEE Transactions on Evolutionary
Computation, vol. 13, no. 2, pp.
454-472, Apr. 2009.
Energy Planning Applications
Zhang, K.F. Fong, and S.Y. Yuen, “A Novel
artificial bee colony algorithm for HVAC optimization problems,”
Technology for the Built Environment (formerly HVAC&R Research), vol. 19, no.
6, pp. 715-731, 2013.
Fong, C.K. Lee, C.K. Chow, and S.Y. Yuen, “Simulation-optimization of
solar-thermal refrigeration systems for office use in subtropical Hong
Kong,” Energy, vol. 36, pp.
Fong, S.Y. Yuen, C.K. Chow, and S.W. Leung, “Energy management and design
of centralized air-conditioning systems through the non-revisiting
strategy for heuristic optimization methods,” Applied Energy, vol. 87, no. 11, pp. 3494-3506, Nov. 2010.
Sung and S.Y. Yuen, “Analysis of (1+1)
evolutionary algorithm and randomized local search with memory,” Evolutionary Computation, vol. 19,
no. 2, pp. 287-323, summer 2011.
Machine Learning + Computer
Inductive Logic Programming
- J. Ahlgren and S.Y. Yuen, “Efficient program synthesis
using constraint satisfaction in inductive logic programming,” Journal of Machine Learning Research,
vol. 14, pp. 3649-3681, 2013.
Neural Network Design
- C.K. Chow and S.Y. Yuen, “Illumination direction
estimation for augmented reality using a surface input real valued output
regression network,” Pattern
Recognition, vol. 43, pp. 1700-1716, Apr. 2010.
Computer Vision + Evolutionary
Visual Attention Model
- J. Liang and S.Y. Yuen, "A Novel saliency
prediction method based on fast radial symmetry transform and its
Computation, vol. 8, no. 4, pp. 693-702, 2016.
- J. Liang and S.Y. Yuen, “An Edge detection with
automatic scale selection approach to improve coherent visual attention
model,” Pattern Recognition Letters,
vol. 34, pp. 1519-1524, 2013.
3D Shape from 2D Shape Cues (Explanatory Computer Vision)
- C.K. Chow and S.Y. Yuen, “A Solution to illumination direction
estimation of a shaded image: genetic algorithm,” Image and Vision Computing, vol. 28, pp. 1717-1730, 2010.
Chow and S.Y. Yuen, “Recovering shape by shading and stereo under
Lambertian shading model,”
International Journal of Computer Vision, vol. 85, no. 1, pp. 58-100,
Other Papers …
Self-motivated students genuinely interested in original
research are encouraged to apply for our PhD program. Applicants should have a
good analytical mindset and good programming ability. Applicants from relevant
fields such as computer science, engineering, and mathematics are preferred.
Application information and deadlines can be found in EE Admission Information Page. You may also apply through the Hong
Kong PhD Fellowship Scheme.
Welcome to email me
your updated CV and a statement of purpose.
Current Research Students
- Mr. Y.D. He
Graduated Research Students
- Dr. Y. Lou, “Techniques for improving online and
offline history-assisted evolutionary algorithms,” 2017.
- Dr. J.Y. Liang, “A Novel saliency prediction
method based on fast radial symmetry transform and its extensions,” 2015.
J. Ahlgren, “Automated programming using constrained inductive logic
- Dr. X. Zhang, “Techniques for
improving differential evolution and artificial bee colony algorithms,”
- Dr. S.W. Leung, “Applying entire search
history for parameter control of evolutionary algorithms,” 2013.
C.Y. Lam, “Methodologies of 2D object recognition: a robust
hypothesis/verification approach,” 1997.
T.S. Lam, “2-D object
recognition by computer: a robust Hough-like prediction/correction
S.F. Chen, “Graph-based stereo correspondence algorithms and occlusion
Y.Y. Tsui, “A Study of fast marching method for shape from shading under
orthographic and perspective projection,” 2003.
C.K. Fong, “A Study of statistical design for genetic algorithm and its
application on object localization,” 2001.
C.H. Tse, “Object boundary estimation using successive approximating
genetic algorithm,” 2000.
C.H. Ma, “An Investigation of Hough transform and genetic algorithm for
multi-modal pattern recognition,” 1998.
EE3001 Foundations of Data Engineering (BEngCE /CDE
EE4208 Computer Graphics for Engineers (Undergraduate)
EE5808 Topics in Computer Graphics (Postgraduate)
for 1st Year Students
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Eastern and Western Students (in Chinese)
“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.
“Imagination is more important than knowledge.” – Albert Einstein
“Anyone who has never made a mistake has never tried anything new.” –
沈祖堯 -《香港家書》- 香港電台1-1-2011
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