Shiu Yin, Kelvin
AP, MPhil, HKP, D.Phil. Sus.,
Tel: (852) 3442-7717
Fax (EE Dept.): (852) 3442-0562
Machine Learning Big
Data Analytics Computer
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and Student Careers
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. He 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. He joined City University in 1992 as a Lecturer, and is now
an Associate Professor.
Dr. Yuen was Program Co-chair of International Conference on
Natural Computation 2013 and has served as Program Committee Member in 17
international conferences. He is a Member of the Publicity Committee of SoCPaR2015: 7th Int. Conf. on Soft
Computing and Pattern Recognition Nov. 11-13, Fukuoka, Japan.
Currently, he is Year 3 Tutor of BEng Computer Engineering programme, and is also 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
He was the recipient of the Hong Kong Government Scholarship for Outstanding
Performance in Joint Primary 6 Examination, the Sir Edward Youde Memorial Fellowship and the Croucher
Foundation Scholarship. He is listed in Who's Who in the World 2015.
Selected Recent Publications
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., 2015.
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
Yuen, C.K. Chow, and X. Zhang, “Which
algorithm should I choose at any point of the search: an evolutionary
portfolio approach,” Proc. Genetic and Evolutionary Computation
Conference (GECCO), pp. 567-574, July 2013. (Errata)
Yuen and X. Zhang, “On composing an
(evolutionary) algorithm portfolio,” Proc.
Genetic and Evolutionary Computation
Conference (GECCO), pp. 83-84, July 2013.
Lou and S.Y. Yuen, “Non-revisiting genetic algorithm with constant
memory,” Proc. IEEE International
Conference on Systems, Man, and Cybernetics, pp. 1714-1719, Oct.,
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 Saving 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. 6298-6307,
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.
Visual Attention Model
- 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)
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.
- C.K. 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, Oct. 2009.
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.
Full List of
Non-revisiting Stochastic Search (4th September
point ) ( Video: high resolution
791 MB ) ( Video: low
resolution 408 MB )
[Note: To view the video, you may need to
download the K-Lite Mega Codec Pack available here ]
Current Research Students
Mr. Y. Lou
Graduated Research Students
- 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
X. Zhang, “Techniques for improving differential evolution and
artificial bee colony algorithms,” 2013.
- 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.
Self-motivated students genuinely interested in original
research are encouraged to apply for 2016/17 entry into the PhD program.
Applicants should also have a good analytical and programming ability. Previous
research experiences in evolutionary computation, machine learning or big data
analytics are preferred but not required. Application information and deadlines
can be found in EE Admission
I plan to recruit two new PhD students (2016/17 entry). Full
funding support will be provided.
Welcome to email me your latest CV and a statement of
Current Courses Taught
Project (BEngCE Core)
Graphics for Engineers (Undergraduate
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Year Project Guidelines
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How to Write Good Programs: Structured Programming
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.” – Albert Einstein
Letter to Hong Kong" by Prof Joseph Jao-yiu Sung
stages of a scientific discipline; four types of scientist
A thoughtful article about
pieces of advice I wish my PhD advisor had given me
How to do research at
the MIT AI lab
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