DPhil Dissertation: “Shape
from Contour and Segmentation Using Symmetries,”
MPhil Dissertation: “Computer
Perception of Hidden Line,” Hong Kong Polytechnic, 1988.
International
Referred Journals
W. Liu, S.Y. Yuen, K.W. Chung, and C.W. Sung, “A General-purpose
multi-dimensional convex landscape generator,” Mathematics, vol.
10(21), 3974, 2022.
W. Liu, S.Y. Yuen, and C.W. Sung, “A Generic method to compose an algorithm portfolio
with a problem set of unknown distribution,” Memetic Computing, vol.
14, pp. 287-304, 2022.
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.
Y. He, J.
Zhou, and S.Y. Yuen, “Composing photomosaic images using clustering
based evolutionary programming,” Multimedia
Tools and Applications, vol. 78, pp. 25919-25936, 2019.
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.
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.
Y. Lou and S.Y. Yuen, “On constructing alternative benchmark suite
for evolutionary algorithms,” Swarm and
Evolutionary Computation, vol. 44,
pp. 287-292, 2019.
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.
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. 693-702, 2016.
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.
S.Y. Yuen and X. Zhang, “On composing an algorithm portfolio,” Memetic
Computing, vol. 7,
no. 3, pp. 203-214, 2015.
X. Zhang and S.Y. Yuen, “A Directional mutation operator for differential evolution
algorithms,” Applied Soft Computing, vol. 30, pp. 529-548, 2015.
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.
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. 4811-4816,
2013.
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. 715-731, 2013.
X. Zhang and S.Y. Yuen, “Improving
artificial bee colony with one-position inheritance mechanism,” Memetic
Computing, vol. 5, no. 3, pp. 187-211, 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. 3063-3078,
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. 149-172,
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. 741-769,
2011.
K.F. 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, 2011.
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. 287-323, summer 2011.
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, no. 12, pp. 1717-1730, Dec. 2010.
K.F. 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.
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.
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.
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.
S.Y. Yuen, Y.Y. Tsui, and C.K. Chow, “A Fast marching formulation of perspective
shape from shading under frontal illumination,” Pattern
Recognition Letters, vol. 28, pp. 806-824, May 2007.
S.Y. Yuen and B.K.S. Cheung, “Bounds for probability of
success of classical genetic algorithm based on Hamming distance,” IEEE Transactions on Evolutionary Computation, vol. 10, no. 1, pp. 1-18, Feb. 2006.
S.Y. Yuen, H.S. Lam, C.K. Fong, S.F. Chen, and C.K. Chow, “A Robust iterative hypothesis
testing design of the repeated genetic algorithm,” Image and Vision Computing, vol. 23, no. 11, pp. 972-980,
Oct. 2005.
S.Y. Yuen, C.K. Fong, K.L. Chan, and Y.W. Leung, “Fractal dimension estimation and
noise filtering using Hough transform,” Signal Processing, vol. 84, no. 5, pp. 907-917, 2004.
S.Y. Yuen, C.K. Fong, and H.S. Lam, “Guaranteeing the probability of
success using repeated runs of genetic algorithms,” Image and Vision Computing, vol. 19, no. 8, pp.
551-560, 2001. (Errata)
S.Y. Yuen and C.H. Ma, “Genetic algorithm with competitive image labelling and least square,” Pattern Recognition, vol. 33, no. 12, pp. 1949-1966, 2000.
C.L. Lam and S.Y. Yuen, “An unbiased active contour algorithm for object tracking,” Pattern Recognition Letters, vol. 19, pp. 491-498, 1998.
S.Y. Yuen and C.H. Ma, “An investigation of the nature of parameterization for the Hough
transform,” Pattern Recognition, vol. 30, no. 6, pp. 1009-1040, 1997.
W.C.Y. Lam and S.Y. Yuen, “Efficient technique for circle
detection using hypothesis filtering and Hough transform,” IEE Proc. - Vis. Image Signal Process., vol. 143, no. 5, pp. 292-300, 1996. (The journal title has been changed to IET Computer Vision)
W.C.Y. Lam, L.T.S. Lam, K.S.Y. Yuen, and D.N.K. Leung, “An analysis on quantizing the Hough space,” Pattern Recognition Letters, vol. 15, pp. 1127-1135, 1994.
K.S.Y. Yuen and W.W. Chan, “Two methods for detecting
symmetries,” Pattern Recognition Letters, vol. 15, pp. 279-286, 1994.
S.Y.K. Yuen, T.S. L. Lam, and N.K. D. Leung, “Connective Hough transform,” Image and Vision Computing, vol. 11, no. 5, pp. 295-301, 1993.
Book Chapter
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.
Best Conference Paper Award
S.Y. Yuen and C.H. Tse, “Chinese character input using an
integrated method of speech recognition and hand writing,” in Proc. Int. Symposium on Consumer Electronics, Nov. 1996, pp. 31 -
34. 優秀論文二等獎, 中國電子學會消費電子分會(Outstanding Paper, 2nd Class Award, Chinese Institute
of Electronics, Consumer Electronics Society).
International Refereed Conference Papers
W. Liu, S.Y. Yuen, and C.W. Sung, “Composing
algorithm portfolio with problem set of unknown distribution,” Proc. IEEE
Symposium Series on Computational Intelligence, pp. 814-821, 2020.
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.
Y. Lou, S.Y. Yuen, G. Chen, and X. Zhang, “On-line search history-assisted restart strategy for covariance matrix adaptation evolution strategy,” Proc. IEEE Congress on Evolutionary Computation (CEC), June 2019, pp. 3142-3149.
X. Zhang, Y. Lou, S.Y. Yuen, Z. Wu, Y. He, and X. Zhang, “Hybrid artificial bee colony with covariance matrix adaptation evolution strategy for economic load dispatch,” Proc. IEEE Congress on Evolutionary Computation (CEC), June 2019, pp. 204-209.
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, 2017, pp. 397-408.
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, 2017, pp. 51-61.
S.Y. Yuen, X. Zhang, and Y. Lou, “Sequential learnable evolutionary algorithm:
a research program,” Proc. IEEE
International Conference on Systems, Man, and Cybernetics, Oct. 2015, pp. 2841-2848.
Y. Lou and S.Y. Yuen, “Non-revisiting genetic algorithm with
constant memory,” Proc. IEEE
International Conference on Systems, Man, and Cybernetics, Oct. 2015, pp. 1714-1719.
S.Y. Yuen and X. Zhang, “Multiobjective
evolutionary algorithm portfolio: choosing suitable algorithm for multiobjective optimization problem,” Proc. IEEE Congress on Evolutionary Computation (CEC), July 2014, pp. 1967-1973.
S.Y. 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), July 2013, pp. 567-574. (Errata)
S.Y. Yuen and X. Zhang, “On
composing an (evolutionary) algorithm portfolio,” Proc. Genetic and Evolutionary Computation
Conference (GECCO), July 2013, pp. 83-84.
J. Liang and S.Y. Yuen, “Edge detection with automatic scale selection approach to improve
coherent visual attention model,” Proc. 13th IAPR
Conference on Machine Vision Applications (MVA), May 2013, pp. 157-160.
J. Ahlgren and S.Y. Yuen, “A Constraint satisfaction
approach to tractable theory induction,” Lecture Notes in Computer Science, vol. 7997, pp. 24-29, 2013.
X. Zhang and S.Y. Yuen, “Opposition-based adaptive differential evolution,” Proc. IEEE Congress on Evolutionary Computation (CEC), June 2012.
S.W. Leung, X. Zhang, and S.Y. Yuen, “Multiobjective
differential evolution algorithm with opposition-based parameter control,” Proc. IEEE Congress on Evolutionary Computation (CEC), June 2012.
C.K. Chow and S.Y. Yuen, “Continuous
non-revisiting genetic algorithm with overlapped search sub-region,” Proc. IEEE Congress on Evolutionary Computation (CEC), June 2012.
S.W. Leung, S.Y. Yuen, and C.K. Chow, “Parameter control by the entire search
history: case study of history-driven evolutionary algorithm,” Proc. IEEE Congress on Evolutionary Computation (CEC), July 2010.
C.K.
Chow and S.Y. Yuen, “Continuous
non-revisiting genetic algorithm with random search space re-partitioning and
one-gene-flip mutation,” Proc. IEEE Congress on
Evolutionary Computation (CEC), July 2010.
S.Y. Yuen and C.K. Chow, “Continuous non-revisiting genetic algorithm,” in Proc. IEEE Congress on Evolutionary Computation (CEC), May 2009,
pp. 1896-1903.
S.Y. Yuen and C.K. Chow, “A Study of operator and parameter choices in
non-revisiting genetic algorithm,” in Proc. IEEE Congress on Evolutionary
Computation (CEC), May 2009, pp. 2977-2984.
S.Y. Yuen and S.W. Leung, “Genetic programming that ensures
programs are original,” in Proc. IEEE Congress on
Evolutionary Computation (CEC), May 2009, pp. 860-866.
S.Y. Yuen and C.K. Chow, “Applying non-revisiting genetic algorithm to traveling salesman
problem,” in Proc. IEEE Congress on
Evolutionary Computation (CEC), June 2008, pp. 2217-2224.
S.Y. Yuen and C.K. Chow, “A Non-revisiting simulated annealing algorithm,” in Proc. IEEE Congress on Evolutionary Computation (CEC), June 2008,
pp. 1886-1892.
C.K. Chow and S.Y. Yuen, “A Non-revisiting particle swarm optimization,” in Proc. IEEE Congress on Evolutionary Computation (CEC), June 2008,
pp. 1879-1885.
C.W. Sung and S.Y. Yuen, “On the analysis of the (1+1) evolutionary algorithm with
short-term memory,” in Proc. IEEE Congress on
Evolutionary Computation (CEC), June 2008, pp. 235-241.
C.K. Chow and S.Y. Yuen, “Equivalence
of oblique and frontal illumination in perspective shape from shading,” in Proc.
International Conf. on Machine Vision (ICMV), Dec. 2007, pp. 7-11.
S.Y. Yuen and C.K. Chow, “A Non-revisiting genetic algorithm,” in Proc. IEEE Congress on Evolutionary Computation, Singapore (CEC),
Sept. 2007, pp. 4583-4590.
C.K. Chow and S.Y. Yuen, “Lighting direction estimation of a shaded image by a surface-input
regression network,” in Proc. International
Joint Conference on Neural Networks (IJCNN), Aug. 2007, pp. 201-206.
C.K. Chow and S.Y. Yuen, “Bayesian signal classifier,” in Proc. International Joint Conference on Neural Networks (IJCNN),
Aug. 2007, pp. 207-212.
C.K. Chow and S.Y. Yuen, “Signal self organizing map”, in Proc. International Joint Conference on Neural Networks (IJCNN),
Aug. 2007, pp. 213-218.
C.K. Chow and S.Y. Yuen, “Lighting direction estimation in perspective shape from shading by
genetic algorithm,” in Proc. 4th
Canadian Conference on Computer and Robot Vision (CRV), May 2007, pp.
289-296.
B.K.S. Cheung, S.Y. Yuen, and C.K. Fong, “Enhancement in performance of
genetic algorithm for object location problem,” in Proc. 8th International Conference on Control, Automation,
Robotics and Vision, Dec. 2004, pp. 692-697. (Errata) (The full version of this
paper is available in GERAD Technical
Report G-2005-68)
Y.N. Lai and S.Y. Yuen, “Successive-least-squares error algorithm on minimum description
length neural networks for time series prediction,” in Proc. International Conference on Pattern Recognition, vol. 4, Aug.
2004, pp. 609-612.
S.Y. Yuen, Y.Y. Tsui, Y.W. Leung, and R.M.M. Chen, “Fast marching method for shape
from shading under perspective projection,” in Proc. 2nd Int. Conf. Visualization, Imaging, and Image
Processing, 2002, pp. 584-89.
S.Y. Yuen, C.K. Fong, and K.L. Chan, “A Method for estimating the
fractal dimension and filtering of fractal noise in periodic signals,” in Proc. International Conf. on Signal and Image Processing, 2002, pp.
31-36.
C.K. Fong and S.Y. Yuen, “A Genetic algorithm with coverage for object localization,” in Proc. Int. Symposium on Intelligent Multimedia, Video & Speech
Processing, 2001, pp. 48-51.
S.Y. Yuen, H.S. Lam, and C.K. Fong, “A Novel robust statistical
design of the repeated genetic algorithm,” Lecture Notes in Computer Science, vol. 2124, 2001, pp. 668-675.
S.Y. Yuen and C.H. Ma, “Genetic algorithm with competitive image labelling and least
square,” in Proc. 10th Int. Conf. on
Image Analysis and Processing, 1999, pp. 364-69.
K.F. Tsang, W.S. Chan, D. Jing, K. Kang, S.Y. Yuen, and W.X.
Zhang, “Radiosity method: a new propagation model for microcellular
communication,” in Proc. IEEE Int.
Symposium Antennas and Propagation Society, vol. 4, 1998, pp. 2228 - 2231.
C.H. Ma and S.Y. Yuen, “Genetic algorithm with competitive image labelling for template
matching,” in Proc. Symposium on
Image, Speech, Signal Processing and Robotics, vol. I, Hong Kong, 1998, pp.
241 - 246.
C.H. Tse and S.Y. Yuen, “Robust object boundary estimation using genetic algorithm,” in Proc. Fifth International Conference on Control, Automation, Robotics
and Vision, 1998, pp. 603-7.
W.T. Fung, S.Y. Yuen, and C.H. Tse, “A Hierarchical boundary box
method for searching speech database for speech recognition,” in Proc. IEEE Int. Symposium on Consumer Electronics, Singapore, Dec.
1997, pp. 43 - 46.
C.L. Lam and S.Y. Yuen, “An Active contour algorithm for object tracking,” in Proc. 4th Int. Conf. on Control, Automation, Robotics and Vision,
Dec. 1996.
C.L. Lam and S.Y. Yuen, “A Flooding active contour model,” ibid, Dec. 1996.
C.L. Lam and S.Y. Yuen, “A Fast active contour algorithm for object tracking in complex
background,” in Proc. 3rd Int. Workshop
on Image/Signal Processing Advances in Computational Intelligence, Nov.
1996, pp. 165 - 168
S.Y. Yuen and C.H. Ma, “An Investigation of the nature of parameterization for the Hough
transform,” in Proc. International
Conf. on Pattern Recognition, vol. B., Vienna, Austria, Aug. 1996, pp. 537
- 41.
W.C.Y. Lam and K.S.Y. Yuen, “Efficient circular object
detection with hypothesis filtering strategy and Hough transform,” ibid, vol. B., Aug. 1996, pp. 524 -
46.
W.C.Y. Lam and K.S.Y. Yuen, “A Hough-like approach for
ellipse detection using connective segments,” in Proc. 3rd Conf. on Digital Imaging Computing Techniques and
Applications, Australia, 1995, pp. 522-27.
T.S. Lam, P.C.H. Chen, and K.S.Y. Yuen, “A New technique to recover the unknown
motion of a single object using ego motion,” in Proc. Asian Conf. on Computer Vision, 1995, pp. 186 - 89.
W.C.Y. Lam, L.T.S. Lam, K.S.Y. Yuen, and D.N.K. Leung, “A General evidence accumulation technique
for Hough transform,” in Proc. IEEE International
Conf. on Systems, and Cybernetics, Oct. 1994, pp. 2414-19.
L.T.S. Lam, W.C.Y. Lam, K.S.Y. Yuen, and D.N.K. Leung, “A Hough-like prediction/
correction approach for shape extraction,” ibid, Oct. 1994, pp. 2408-13.
W.C.K. Choi, D.N.K. Leung, K.S.Y. Yuen, and R.T. Bradbeer, “An Effective low-cost vision system for the robot pingpong player,” in Proc. Int. conf. on
Mechatronics & Machine Vision in Practice, Sept. 1994, pp. 252-57.
K.S.Y. Yuen and E.K.H. Lo, “A Coarse-to-Fine approach for
circle detection,” in Proc. Int. Symposium on
Speech, Image Processing & Neural Networks, Apr. 1994, pp. 523-26.
K.S.Y. Yuen and W.W. Chan, “A Solution to the generalized Duda and Hart problem using Fourier parameterization,” ibid, Apr. 1994, pp. 441-44.
W.C.Y. Lam, L.T.S. Lam, K.S.Y. Yuen, and D.N.K. Leung, “An Error analysis on quantizing
the Hough space,” in Proc. of 2nd Int. Conf.
on Signal Processing, Oct. 1993, pp. 946 - 49.
W.C.Y. Lam, K.S.Y. Yuen, and D.N.K. Leung, “Fourier parameterization provide
uniform bounded Hough space,” Lecture Notes in Computer
Science, vol. 719, 1993, pp. 183-190.
K.S.Y. Yuen, L.T.S. Lam, and D.N.K. Leung, “An Approach to corner detection,” in Proc. 8th Scandinavian Conf. on Image Analysis, May 1993, pp.
1071-76.
S.Y.K. Yuen, “Connective Hough transform,” in Proc. 2nd British Machine Vision Conf., Sept. 1991, pp. 127-35.
S.Y.K. Yuen and V. Hlavac, “An Approach to quantization of
Hough space,” in Proc. 7th Scandinavian
Conf. on Image Analysis, 1991, pp. 733-40.
S.Y.K. Yuen, “Shape from contour using symmetries,” Lecture Notes in Computer Science, vol. 427, 1990, pp. 437-453.
S.Y.K. Yuen, “Shape from contour using symmetries,” in Proc. 5th Alvey Vision Conf., Sept. 1989,
pp. 281-84.
S.Y. Yuen and N.K. Leung, “A Shape-from-contour method for
solid perception,” in Proc. 6th Scandinavian
Conf. on Image Analysis, vol.1, 1989, pp. 262-69.
S.Y. Yuen and N.K. Leung, “A Computational theory of hidden
line perception,” in Proc. SPIE Vol. 1008:
Expert Robots for Industrial Use, 1989, pp. 84-95.
S.Y. Yuen and N.K. Leung, “A Probabilistic scheme for
hidden line perception,” in Proc. IEEE Asian
Electronics Conf., Sept. 1987, pp. 276-81.