Dissertations

 

  1. DPhil Dissertation:   Shape from Contour and Segmentation Using Symmetries,” Univ. of Sussex, UK, 1991. 
  2. MPhil Dissertation:  Computer Perception of Hidden Line,” Hong Kong Polytechnic, 1988. 

 

Best Paper

 

  1. 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) 

 

Research Papers

 

Evolutionary Computation

 

  1. Y. Lou and S.Y. Yuen, “Non-revisiting genetic algorithm with constant memory,” Proc. IEEE International Conference on Systems, Man, and Cybernetics, pp. 1714-1719, Oct., 2015.
  2. S.Y. Yuen and X. Zhang, “On composing an (evolutionary) algorithm portfolio,” Proc. Genetic and Evolutionary Computation Conference (GECCO), pp. 83-84, July 2013.
  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. X. Zhang and S.Y. Yuen, “Opposition-based adaptive differential evolution,” Proc. IEEE Congress on Evolutionary Computation (CEC), June, 2012.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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)
  20. 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)
  21. 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.
  22. 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.  
  23. 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.
  24. 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.
  25. 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.

 

Machine Learning

 

  1. 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.
  2. 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.
  3. C.K. Chow and S.Y. Yuen, “Bayesian signal classifier,” in Proc. International Joint Conference on Neural Networks (IJCNN), Aug. 2007, pp. 207-212.
  4. 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.
  5. 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.

 

Computer Vision

 

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. C.L. Lam and S.Y. Yuen, “An unbiased active contour algorithm for object tracking,” Pattern Recognition Letters, vol. 19, pp. 491-498, 1998.
  9. 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.
  10. 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. 
  11. 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.
  12. 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.
  13. 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)
  14. 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.
  15. C.L. Lam and S.Y. Yuen, “A Flooding active contour model,” ibid, Dec. 1996.
  16. 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
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. K.S.Y. Yuen and W.W. Chan, “Two methods of detecting symmetries,” Pattern Recognition Letters, vol. 15, pp. 279-286, 1994.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. S.Y.K. Yuen, “Connective Hough transform,” in Proc. 2nd British Machine Vision Conf., Sept. 1991, pp. 127-35. 
  33. 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.
  34. S.Y.K. Yuen., “Shape from contour using symmetries,” Lecture Notes in Computer Science, vol. 427, 1990, pp. 437-453.
  35. S.Y.K. Yuen, “Shape from contour using symmetries,” in Proc. 5th Alvey Vision Conf., Sept. 1989, pp. 281-84.
  36. 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.
  37. 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.
  38. 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.