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Dr. YUEN Shiu Yin, Kelvin

AP, MPhil, HKP, D.Phil. Sus., SMIEEE


Associate Professor


Room: G6518   Tel: (852) 3442-7717 

Fax (EE Dept.): (852) 3442-0562



Research Interests

Evolutionary Computation   Machine Learning   Big Data Analytics   Computer Vision  



Selected Recent Publications  Talks  Source Code  Research  Students  Research Student Recruitment 


Sharing               Teaching

Personal Web Page     Courses  Useful Links  Undergraduate Admission Information to EE Dept.  Alumni and Student Careers


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. 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 Exhibitions.


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


Evolutionary Computation


Algorithm Selection


  1. S.Y. Yuen and X. Zhang, “On composing an algorithm portfolio,” Memetic Computing, vol. 7, no. 3, pp. 203-214, 2015.
  2. 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. 1967-1973, July 2014.
  3. 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), pp. 567-574, July 2013. (Errata)
  4. S.Y. Yuen and X. Zhang, “On composing an (evolutionary) algorithm portfolio,” Proc. Genetic and Evolutionary Computation Conference (GECCO), pp. 83-84, July 2013.


Novel Algorithms


  1. X. Zhang and S.Y. Yuen, “A Directional mutation operator for differential evolution algorithms,” Applied Soft Computing, vol. 30, pp. 529-548, 2015.
  2. C.K. Chow and S.Y. Yuen, “A Dynamic history-driven evolutionary algorithm,” Proc. IEEE Congress on Evolutionary Computation (CEC), pp. 1558-1564, July 2014.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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


  1. 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.
  2. 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.
  3. 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.




  1. 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.



Computer Vision


Visual Attention Model


  1. 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)


  1. 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.
  2. 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


Inductive Logic Programming


  1. 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


  1. 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 Papers …




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 ]



Research Students


Current Research Students


Mr. Y. Lou


Graduated Research Students


PhD Graduates

  1. Dr. J.Y. Liang, “A Novel saliency prediction method based on fast radial symmetry transform and its extensions,” 2015.
  2. Dr. J. Ahlgren, “Automated programming using constrained inductive logic programming”, 2014.
  3. Dr. X. Zhang, “Techniques for improving differential evolution and artificial bee colony algorithms,” 2013.
  4. Dr. S.W. Leung, “Applying entire search history for parameter control of evolutionary algorithms,” 2013.
  5. Dr. C.Y. Lam, “Methodologies of 2D object recognition: a robust hypothesis/verification approach,” 1997.
  6. Dr. T.S.  Lam, “2-D object recognition by computer: a robust Hough-like prediction/correction approach,” 1995.


MPhil Graduates

  1. Dr. S.F. Chen, “Graph-based stereo correspondence algorithms and occlusion detection,” 2005.
  2. Ms. Y.Y. Tsui, “A Study of fast marching method for shape from shading under orthographic and perspective projection,” 2003.
  3. Mr. C.K. Fong, “A Study of statistical design for genetic algorithm and its application on object localization,” 2001.
  4. Mr. C.H. Tse, “Object boundary estimation using successive approximating genetic algorithm,” 2000.
  5. Mr. C.H. Ma, “An investigation of Hough transform and genetic algorithm for multi-modal pattern recognition,” 1998.


Research Student Recruitment


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 Information Page.


Note that this year there are two early rounds whose deadlines are 1 Sept 2015 and 1 Nov 2015. 


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 purpose.





Current Courses Taught


EE3274  Design Project                                   (BEngCE Core)

EE4808  Computer Graphics for Engineers     (Undergraduate Elective)

EE5808  Topics in Computer Graphics            (Postgraduate Elective)



Useful Links 




Advice for 1st Year Students

Final Year Project Guidelines

Useful Science Database for Searching Information 

How to Write Good Programs: Structured Programming

Comparison of Eastern and Western Students (in Chinese)







“Imagination is more important than knowledge.” – Albert Einstein

“Anyone who has never made a mistake has never tried anything new.” – Albert Einstein


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)




Wikipedia - free encyclopedia

Math World

For those who wishes to learn more probability theory

Correct pronunciation of Cantonese

A web site that helps you learn English more effectively by reading the Bible



Updated: 5 October 2015