Dr. S.Y. Yuen, Kelvin, Dept. of EE, City Univ. of Hong Kong

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

Recent Publications Talks Source Code Research Group Research Opportunities

Sharing Teaching

Personal Web Page Courses Project Demo Useful Links

Personal Profile

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 Lines”. 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 has served as Program Committee Member in 15 international conferences, and has successfully supervised 2 PhD and 5 MPhil students. He 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

Recent Publications

Evolutionary Computation

C.K. Chow and S.Y. Yuen, “A multi-objective evolutionary algorithm that diversifies population by its density,” to appear in IEEE Transactions on Evolutionary Computation.
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.W. Leung, S.Y. Yuen, and C.K. Chow, “Parameter control by the entire search history: case study of history-driven evolutionary algorithm,” in 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,” in 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, “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 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.
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.
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.

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.
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.
C.K. Chow and S.Y. Yuen, “Lighting direction estimation in perspective shape from shading by genetic algorithm,” in Proc. 4^th Canadian Conference on Computer and Robot Vision (CRV), May 2007, pp. 289-296.
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.

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.
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.

More Papers …

Talks

Non-revisiting Stochastic Search (4^th 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 ]

Research Group

Research Fellow

Dr. C.K. Chow

Research Students

Graduated Research Students

PhD Graduates

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”.

Research Opportunities

I am looking for conscientious, capable, and teachable research students that likes to do research out of genuine interest.

Research position for PhD is open for application all year round. Admission to our PhD program normally requires the equivalent of a MSc (by research) with average marks ³ 82.5. Admitted PhD students will receive financial aid through a Postgraduate Studentship, which is reviewed annually.

Please send me an email with a statement of purpose and CV. Please apply for admission to the PhD Program through the School of Graduate Studies and put down my name as the staff you have contacted in your application.

p.s. I have no summer internship position.

Project Demo

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

EE4808 Computer Graphics for Engineers (Undergraduate Elective)