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Dr. YUEN
Shiu Yin, Kelvin HDEE, Asso, MPhil, HKP, D.Phil. Sus.,
MIEEE Associate Professor Room: G6518
Tel: (852) 3442-7717
Fax (EE Dept.): (852) 3442-0562 Email: kelviny.ee@cityu.edu.hk |
Research Interests
Evolutionary
Computation + Computer Vision + Machine Learning
Research
Selected Recent Publications Talks Source Code
Research Students Research Opportunities
Sharing Teaching
Personal
Web Page Courses
Project Demo Useful Links
Shiu Yin Yuen (Kelvin) was born in Hong Kong. He graduated from the Higher Diploma in Electronic Engineering from The Hong Kong Polytechnic (now The Hong Kong Polytechnic University) with Credit in 1984, and obtained the Associateship in Electronic Engineering, with Credit, one year later. He became the first person to obtain the MPhil Degree from the Polytechnic in November, 1988, with a dissertation on “Computer Perception of Hidden Line”. During this time, he was also a Visiting Lecturer of the department. He obtained the Doctorial degree (DPhil) from the School of Cognitive and Computing Sciences (now School of Informatics), University of Sussex, UK in January, 1992. His dissertation title is “Shape from Contour and Segmentation Using Symmetries”. He joined City University in 1992 as a Lecturer, and is now an Associate Professor.
He has published more than 70 research papers, which includes papers in IEEE Transactions on Evolutionary Computation, International Journal of Computer Vision, and Pattern Recognition. He received a Best Paper Award from Consumer Electronics Society, Chinese Institute of Electronics. He is Program Co-chair of International Conference on Natural Computation 2013, has served as Program Committee Member in 17 international conferences, and has served as Reviewer of IEEE Transactions on Evolutionary Computation, IEEE Transactions on Pattern Analysis and Machine Intelligence, as well as other journals and conferences.
He is currently Associate Programme Leader of BEng Computer Engineering programme.
Dr. Yuen was the recipient of the Sir Edward Youde Memorial Fellowship and the Croucher Foundation Scholarship. He was listed in Who's Who in the World, Who's Who in Finance and Industry, and Who’s Who in Science and Engineering.
RESEARCH
Evolutionary Computation
- 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 multi-objective 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.
- 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.
- 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.
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.
- 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.
Machine Learning
- 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.
Non-revisiting Stochastic Search (4th September 2009)
( Power
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 ]
Graduated Research Students
PhD Graduates
- Dr. S.W. Leung, “Applying entire search
history for parameter control of evolutionary algorithms”
- Dr.
C.Y. Lam, “Methodologies of 2D Object Recognition: A Robust
Hypothesis/Verification Approach”.
- Dr.
T.S. Lam, “2-D Object
Recognition by Computer: A Robust Hough-like Prediction/Correction
Approach”.
MPhil Graduates
- Mr. S.F. Chen, “Graph-based Stereo Correspondence Algorithms and Occlusion Detection”.
- Ms. Y.Y. Tsui, “A Study of Fast Marching Method for Shape from Shading under Orthographic and Perspective Projection”.
- Mr.
C.K. Fong, “A Study of Statistical Design For Genetic Algorithm and its
Application on Object Localization”.
- Mr.
C.H. Tse, “Object Boundary Estimation using Successive Approximating
Genetic Algorithm”.
- Mr.
C.H. Ma, “An Investigation of Hough Transform and Genetic Algorithm for
Multi-modal Pattern Recognition”.
I am looking for conscientious, capable, and teachable PhD research students who like to do research out of genuine interest.
Normally, the equivalent of a MSc (by research) with average marks ³ 82.5 is required. Admitted PhD students will receive financial aid through a Postgraduate Studentship, which is reviewed annually.
Preferably please send me an email with a statement of purpose and CV before applying.
Please apply for admission to the PhD Program through the School of Graduate Studies. Put down my name as the staff you have contacted in your application. Please also refer to the link above for the admission deadline.
Outstanding undergraduate and postgraduate students may also apply for the Hong Kong PhD Fellowship.
p.s. I have no summer internship position.
1. Autonomous Mental Development
This project develops robots that can learn by themselves. The demo is about the robot learning
whether to use the left or the right hand in the handshake.
Demo (written
by fyp students Mr. Y.S. Luk and Mr. C.Y. Ho)
2. Intelligent Ms. Pac-man
This project aims to develop a computer Ms. Pac-man that is intelligent
and plays well in the classic Ms. Pac-man arcade game.
Demo (a
typical run of the program written by fyp student Mr.
Max Chan)
The Ms. Pac-man arcade game can be found here.
The IEEE CEC 2009 Ms. Pac-man competition result is here.
3.
Tracking
Moving People by a Static Camera
This project uses computer vision techniques to find and track moving objects (in this case people).
Demo (written by fyp student Mr. K.S. Lam)
TEACHING
Current and Recent Courses Taught
EE3273 Design Laboratory (BEngCE Core)
EE4808 Computer Graphics for
Engineers (Undergraduate
Elective)
EE5808 Topics in Computer Graphics
(Postgraduate
Elective)
EE4211 Computer Vision
(Undergraduate
Elective)
Study
Useful Science Database
for Searching Information
How to Write Good Programs: Structured Programming
Comparison of
Eastern and Western Students (in Chinese)
Research
General articles
"A
Letter to Hong Kong" by Prof Joseph Jao-yiu Sung
Four
stages of a scientific discipline; four types of scientist
Research skills
A thoughtful article about
doing research
10
pieces of advice I wish my PhD advisor had given me
How to do research at
the MIT AI lab
Doing research
"slower" (in Chinese)
Who should be the
authors
Who should be the
authors - view 1
Who should be the
authors - view 2
part 1 (in Chinese)
Who should be the
authors - view 2
part 2 (in Chinese)
General
For those who wishes
to learn more probability theory
Correct pronunciation of
Cantonese
Updated: 13th
May, 2013.