Dr.
YUEN Shiu Yin, Kelvin
AP,
MPhil, HKP, D.Phil. Sus., SMIEEE
Associate
Professor
Room:
G6359
Tel: (852) 34427717
Fax (EE Dept.):
(852) 34420562
Email:
kelviny.ee@cityu.edu.hk
Research Interests:
Evolutionary
Computation Machine Learning Computer Vision
Research
Selected Recent Publications
Source Code
Research
Students
Sharing
Teaching
Personal Web Page
Courses
Useful Links
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.
He was Program Cochair of International Conference on
Natural Computation 2013 and has served as Program Committee Member in 18
international conferences. He is Coordinator of
Community of Practice for Social
Responsibility and Ethics.
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
Evolutionary Computation
Algorithm Selection
 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. 559570, 2019.
 S.Y. Yuen, Y. Lou, and X. Zhang, "Selecting
evolutionary algorithms for black box design optimization problems,"
Soft Computing, doi:10.1007/s005000183302y, 2018.

Y. Lou and S.Y. Yuen, "On constructing alternative benchmark suite for
evolutionary algorithms," Swarm and Evolutionary Computation,
vol. 44, pp. 287292, 2019.
 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. 211212.
 Y. Lou, S.Y. Yuen, and G. Chen, “Evolving benchmark
functions using KruskalWallis test,”
Proc. Genetic and Evolutionary
Computation Conference (GECCO), July 2018, pp. 13371341.
 Y. He, S.Y. Yuen, and Y. Lou, “A Bayesian restarting
approach to algorithm selection,”
Lecture Notes in Computer Science, vol. 10593, pp. 397408, 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. 5161, 2017.

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. 654673, 2016.

S.Y. Yuen, X. Zhang, and Y. Lou, “Sequential learnable evolutionary
algorithm: a research program,” Proc.
IEEE International Conference on Systems, Man, and Cybernetics, pp.
28412848, Oct., 2015.

S.Y. Yuen and X. Zhang, “On composing an algorithm portfolio,”
Memetic Computing, vol. 7, no. 3,
pp. 203214, 2015.

S.Y. Yuen and X. Zhang, “Multiobjective
evolutionary algorithm portfolio: choosing suitable algorithm for
multiobjective optimization problem,”
Proc. IEEE Congress on Evolutionary Computation (CEC), pp.
19671973, July 2014.
Novel Algorithms

Y. Lou and S.Y. Yuen, “Nonrevisiting genetic
algorithm with adaptive mutation using constant memory,”
Memetic Computing, vol. 8, no. 3,
pp. 189210, 2016.

X. Zhang and S.Y. Yuen, “A Directional mutation operator for differential
evolution algorithms,” Applied Soft
Computing, vol. 30, pp. 529548, 2015.

C.K. Chow and S.Y. Yuen, “A Dynamic
historydriven evolutionary algorithm,”
Proc. IEEE Congress on Evolutionary Computation (CEC), pp.
15581564, July 2014.

X. 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. 48114816, 2013.

X. Zhang and S.Y. Yuen, “Improving artificial
bee colony with oneposition inheritance mechanism,”
Memetic Computing, vol. 5, no. 3, pp. 187211, 2013.

S.W. 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. 30633078, 2012.

C.K. Chow and S.Y. Yuen, “A Multiobjective evolutionary algorithm that
diversifies population by its density,”
IEEE Transactions on Evolutionary Computation, vol. 16, no. 2,
pp. 149172, 2012.

C.K. 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. 741769, 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.
454472, Apr. 2009.
Energy Planning Applications

X. Zhang, K.F. Fong, and S.Y. Yuen, “A Novel
artificial bee colony algorithm for HVAC optimization problems,”
Science and
Technology for the Built Environment (formerly
HVAC&R Research), vol. 19, no. 6,
pp. 715731, 2013.

K.F. Fong, C.K. Lee, C.K. Chow, and S.Y. Yuen, “Simulationoptimization of
solarthermal refrigeration systems for office use in subtropical Hong
Kong,” Energy, vol. 36, pp.
62986307, 2011.

K.F. Fong, S.Y. Yuen, C.K. Chow, and S.W. Leung, “Energy management and
design of centralized airconditioning systems through the nonrevisiting
strategy for heuristic optimization methods,”
Applied Energy, vol. 87, no. 11, pp. 34943506, Nov. 2010.
Theory

C.W. Sung and S.Y. Yuen, “Analysis of (1+1)
evolutionary algorithm and randomized local search with memory,”
Evolutionary Computation, vol. 19,
no. 2, pp. 287323, summer 2011.
Machine Learning
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. 36493681, 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. 17001716, Apr. 2010.
Computer Vision
Visual Attention Model

J. Liang and S.Y. Yuen, "A Novel saliency
prediction method based on fast radial symmetry transform and its
generalization," Cognitive Computation,
vol. 8, no. 4, pp. 693702, 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. 15191524, 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. 17171730, 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. 58100,
Oct. 2009.
Other Papers …
Research Students
Research Student Recruitment
Selfmotivated 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

Y.D. He
 W.
Liu
Graduated Research Students
PhD Graduates

Y. Lou, “Techniques
for improving online and offline historyassisted evolutionary algorithms,”
2017.

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 programming”, 2014.

X. Zhang, “Techniques for
improving differential evolution and artificial bee colony algorithms,”
2013.

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, “2D object recognition by
computer: a robust Houghlike prediction/correction approach,” 1995.
MPhil Graduates

S.F. Chen, “Graphbased stereo
correspondence algorithms and occlusion detection,” 2005.

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
multimodal pattern recognition,” 1998.
TEACHING
2018/19 Courses
Core Courses
EE3001 Foundations of Data Engineering
(BEngCE /CDE Undergraduate)
Electives
EE4208
Computer Graphics for
Engineers
(Undergraduate)
EE5808
Topics in Computer Graphics
(Postgraduate)
Useful Links
Study
Advice for 1st Year Students
Final Year Project and Research Project Guidelines
Useful Web
Resources and Database for Searching Information
How to Write Good Programs:
Structured Programming
Comparison of Eastern and Western Students
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.
General articles
香港家書 
沈祖堯
Four stages of a scientific discipline; four
types of scientist
How to choose a good scientific problem
Research skills
A Thoughtful article about doing research
10 pieces of advice I wish my PhD advisor had
given me