Genetic Programming Bibliography entries for Kwong-Sak Leung

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GP coauthors/coeditors: Ivan Sin Man Cheang, Kin-Hong Lee, Wai Shing Lau, Gang Li, Phoenix Jinfeng Wang, "Peter" Leung-Yau Lo, Tak-Ming Chan, Po Shun Ngan, Man Leung Wong, Jack Chun-yiu Cheng, Wai Lam, Wing-Ho Shum, Joseph J Y Sung, Stephen K W Tsui, Chi-Hang Tse, Eddie Y T Ng, Tony S K Mok, Angeline Bartholomeusz, Thomas C C Au, Kelvin K F Tsoi, Stephen Locarnini, Henry L Y Chan, Ho-Yin Sze-To, Kwan-Yeung Lee, Kai-Yuen Tso, Man Hon Wong, Nelson L S Tang, Pak-Kan Wong,

Genetic Programming Articles by Kwong-Sak Leung

  1. Pak-Kan Wong and Man-Leung Wong and Kwong-Sak Leung. Probabilistic Contextual and Structural Dependencies Learning in Grammar-Based Genetic Programming. Evolutionary Computation, 29(2):239-268, 2021. details

  2. Pak-Kan Wong and Kwong-Sak Leung and Man-Leung Wong. Probabilistic grammar-based neuroevolution for physiological signal classification of ventricular tachycardia. Expert Systems with Applications, 135:237-248, 2019. details

  3. Joseph J. Y. Sung and Stephen K. W. Tsui and Chi-Hang Tse and Eddie Y. T. Ng and Kwong-Sak Leung and Kin-Hong Lee and Tony S. K. Mok and Angeline Bartholomeusz and Thomas C. C. Au and Kelvin K. F. Tsoi and Stephen Locarnini and Henry L. Y. Chan. Genotype-Specific Genomic Markers Associated with Primary Hepatomas, Based on Complete Genomic Sequencing of Hepatitis B Virus. Journal of Virology, 82(7):3604-611, 2008. details

  4. Gang Li and Jin Feng Wang and Kin Hong Lee and Kwong-Sak Leung. Instruction-Matrix-Based Genetic Programming. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 38(4):1036-1049, 2008. details

  5. Sin Man Cheang and Kin Hong Lee and Kwong Sak Leung. Applying Genetic Parallel Programming to Synthesize Combinational Logic Circuits. IEEE Transactions on Evolutionary Computation, 11(4):503-520, 2007. details

  6. Sin Man Cheang and Kwong Sak Leung and Kin Hong Lee. Genetic Parallel Programming: Design and Implementation. Evolutionary Computation, 14(2):129-156, 2006. details

  7. Man Leung Wong and Wai Lam and Kwong Sak Leung and Po Shun Ngan and Jack C. Y. Cheng. Discovering knowledge from medical databases using evolutionory algorithms. IEEE Engineering in Medicine and Biology Magazine, 19(4):45-55, 2000. details

  8. Man Leung Wong and Kwong Sak Leung and Jack C. Y. Cheng. Discovering Knowledge from Noisy Databases using Genetic Programming. Journal of the American Society for Information Science, 51(9):870-881, 2000. details

  9. Po Shun Ngan and Man Leung Wong and Wai Lam and Kwong Sak Leung and Jack C. Y. Cheng. Medical Data Mining Using Evolutionary Computation. Artificial Intelligent in Medicine, 16(1):73-96, 1999. Special Issue On Data Mining Techniques and Applications in Medicine. details

  10. Man Leung Wong and Kwong Sak Leung. Evolutionary Program Induction Directed by Logic Grammars. Evolutionary Computation, 5(2):143-180, 1997. details

  11. Man Leung Wong and Kwong Sak Leung. Inducing logic programs with genetic algorithms: the Genetic Logic Programming System. IEEE Expert, 10(5):68-76, 1995. details

Genetic Programming Books by Kwong-Sak Leung

Genetic Programming conference papers by Kwong-Sak Leung

  1. Pak-Kan Wong and Man-Leung Wong and Kwong-Sak Leung. Semantic fitness function in genetic programming based on semantics flow analysis. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 354-355, Prague, Czech Republic, 2019. ACM. details

  2. Pak-Kan Wong and Man-Leung Wong and Kwong-Sak Leung. Probabilistic grammar-based deep neuroevolution. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 87-88, Prague, Czech Republic, 2019. ACM. details

  3. Pak-Kan Wong and Man Leung Wong and Kwong-Sak Leung. Learning Grammar Rules in Probabilistic Grammar-Based Genetic Programming. In Carlos Martin-Vide and Takaaki Mizuki and Miguel A. Vega-Rodriguez editors, Theory and Practice of Natural Computing - 5th International Conference, TPNC 2016, Sendai, Japan, December 12-13, 2016, Proceedings, volume 10071, pages 208-220, 2016. details

  4. Pak-Kan Wong and Man-Leung Wong and Kwong-Sak Leung. Hierarchical Knowledge in Self-Improving Grammar Based Genetic Programming. In Julia Handl and Emma Hart and Peter R. Lewis and Manuel Lopez-Ibanez and Gabriela Ochoa and Ben Paechter editors, 14th International Conference on Parallel Problem Solving from Nature, volume 9921, pages 270-280, Edinburgh, 2016. Springer. details

  5. Pak-Kan Wong and Leung-Yau Lo and Man-Leung Wong and Kwong-Sak Leung. Grammar-based genetic programming with dependence learning and bayesian network classifier. In Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation, pages 959-966, Vancouver, BC, Canada, 2014. ACM. details

  6. Pak-Kan Wong and Leung-Yau Lo and Man-Leung Wong and Kwong-Sak Leung. Grammar-Based Genetic Programming with Bayesian Network. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 739-746, Beijing, China, 2014. details

  7. Ho-Yin Sze-To and Kwan-Yeung Lee and Kai-Yuen Tso and Man Hon Wong and Kin-Hong Lee and Nelson L. S. Tang and Kwong-Sak Leung. GP-Pi: Using Genetic Programming with Penalization and Initialization on Genome-Wide Association Study. In Leszek Rutkowski and Marcin Korytkowski and Rafal Scherer and Ryszard Tadeusiewicz and Lotfi A. Zadeh and Jacek M. Zurada editors, Artificial Intelligence and Soft Computing - 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part II, volume 7895, pages 330-341, 2013. Springer. details

  8. Leung-Yau Lo and Tak-Ming Chan and Kin-Hong Lee and Kwong-Sak Leung. Challenges rising from learning motif evaluation functions using genetic programming. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 171-178, Portland, Oregon, USA, 2010. ACM. details

  9. Gang Li and Kin Hong Lee and Kwong-Sak Leung. Using Instruction Matrix Based Genetic Programming to Evolve Programs. In Lishan Kang and Yong Liu and Sanyou Y. Zeng editors, Proceedings of the Second International Symposium on Computation and Intelligence, ISICA 2007, volume 4683, pages 631-640, Wuhan, China, 2007. Springer. details

  10. Jin Feng Wang and Kin-Hong Lee and Kwong-Sak Leung. Condition Matrix Based Genetic Programming for Rule Learning. In 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), pages 315-322, Arlington, VA, USA, 2006. IEEE Computer Society. details

  11. Wing-Ho Shum and Kwong-Sak Leung and Man Leung Wong. Learning acyclic rules based on Chaining Genetic Programming. In Michael A. Langston and Mohsen Guizani editors, The 4th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA-06), pages 960-967, Dubai, 2006. IEEE. details

  12. Wing-Ho Shum and Kwong-Sak Leung and Man-Leung Wong. Learning acyclic decision trees with Functional Dependency Network and MDL Genetic Programming. In International Multi-Conference on Computing in the Global Information Technology, ICCGI '06, page 25, Bucharest, 2006. IEEE. details

  13. Wing-Ho Shum and Kwong-Sak Leung and Man-Leung Wong. Learning non-overlapping rules A method based on Functional Dependency Network and MDL Genetic Programming. In Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas editors, Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 2717-2724, Vancouver, 2006. IEEE Press. details

  14. Wai Shing Lau and Kin Hong Lee and Kwong Sak Leung. A hybridized genetic parallel programming based logic circuit synthesizer. In Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens editors, GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, volume 1, pages 839-846, Seattle, Washington, USA, 2006. ACM Press. details

  15. Gang Li and Kin-Hong Lee and Kwong-Sak Leung. Evolve Schema Directly Using Instruction Matrix Based Genetic Programming. In Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors, Proceedings of the 8th European Conference on Genetic Programming, volume 3447, pages 271-280, Lausanne, Switzerland, 2005. Springer. details

  16. Wai Shing Lau and Gang Li and Kin-Hong Lee and Kwong-Sak Leung and Sin Man Cheang. Multi-logic-Unit Processor: A Combinational Logic Circuit Evaluation Engine for Genetic Parallel Programming. In Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors, Proceedings of the 8th European Conference on Genetic Programming, volume 3447, pages 167-177, Lausanne, Switzerland, 2005. Springer. details

  17. Wing-Ho Shum and Kwong-Sak Leung and Man Leung Wong. Co-evolutionary Rule-Chaining Genetic Programming. In Marcus Gallagher and James M. Hogan and Fr\'ed\'eric Maire editors, Intelligent Data Engineering and Automated Learning - IDEAL 2005, 6th International Conference, Proceedings, volume 3578, pages 546-554, Brisbane, Australia, 2005. Springer. details

  18. Wing-Ho Shum and Kwong-Sak Leung and Man Leung Wong. Learning Functional Dependency Networks Based on Genetic Programming. In Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), pages 394-401, Houston, Texas, USA, 2005. IEEE Computer Society. details

  19. Sin Man Cheang and Kin Hong Lee and Kwong Sak Leung. Designing Optimal Combinational Digital Circuits Using a Multiple Logic Unit Processor. In Maarten Keijzer and Una-May O'Reilly and Simon M. Lucas and Ernesto Costa and Terence Soule editors, Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, volume 3003, pages 23-34, Coimbra, Portugal, 2004. Springer-Verlag. details

  20. Gang Li and Kwong Sak Leung and Kin Hong Lee. IMGP - A Novel Instruction Matrix based Genetic Programming. In Ahmad Lotfi editor, Proceedings of the 5th International Conference on Recent Advances in Soft Computing, pages 403-409, Nottingham, United Kingdom, 2004. Nottingham Trent University. details

  21. Kwong Sak Leung and Kin Hong Lee and Sin Man Cheang. Parallel Programs are More Evolvable than Sequential Programs. In Conor Ryan and Terence Soule and Maarten Keijzer and Edward Tsang and Riccardo Poli and Ernesto Costa editors, Genetic Programming, Proceedings of EuroGP'2003, volume 2610, pages 107-118, Essex, 2003. Springer-Verlag. details

  22. Sin Man Cheang and Kin Hong Lee and Kwong Sak Leung. An Empirical Study of the Accelerating Phenomenon in Genetic Parallel Programming. In Bart Rylander editor, Genetic and Evolutionary Computation Conference Late Breaking Papers, pages 54-61, Chicago, USA, 2003. details

  23. Sin Man Cheang and Kin Hong Lee and Kwong Sak Leung. Improving Evolvability of Genetic Parallel Programming Using Dynamic Sample Weighting. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 1802-1803, Chicago, 2003. Springer-Verlag. details

  24. Sin Man Cheang and Kin Hong Lee and Kwong Sak Leung. Evolving data classification programs using genetic parallel programming. In Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon editors, Proceedings of the 2003 Congress on Evolutionary Computation CEC2003, pages 248-255, Canberra, 2003. IEEE Press. details

  25. Sin Man Cheang and Kin Hong Lee and Kwong Sak Leung. Data Classification Using Genetic Parallel Programming. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 1918-1919, Chicago, 2003. Springer-Verlag. details

  26. Sin Man Cheang and Kin Hong Lee and Kwong Sak Leung. Applying sample weighting methods to genetic parallel programming. In Ruhul Sarker and Robert Reynolds and Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and Tom Gedeon editors, Proceedings of the 2003 Congress on Evolutionary Computation CEC2003, pages 928-935, Canberra, 2003. IEEE Press. details

  27. Kwong Sak Leung and Kin Hong Lee and Sin Man Cheang. Evolving Parallel Machine Programs for a Multi-ALU Processor. In David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton editors, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 1703-1708, 2002. IEEE Press. details

  28. Kwong Sak Leung and Kin Hong Lee and Sin Man Cheang. Genetic Parallel Programming - Evolving Linear Machine Codes on a Multiple-ALU Processor. In Sazali Yaacob and R. Nagarajan and Ali Chekima editors, Proceedings of International Conference on Artificial Intelligence in Engineering and Technology - ICAIET 2002, pages 207-213, Sabah, Malaysia, 2002. Universiti Malaysia Sabah. details

  29. Po Shun Ngan and Man Leung Wong and Kwong Sak Leung and Jack C. Y. Cheng. Using Grammar Based Genetic Programming for Data Mining of Medical Knowledge. In John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 254-259, University of Wisconsin, Madison, Wisconsin, USA, 1998. Morgan Kaufmann. details

  30. Man Leung Wong and Kwong Sak Leung. Learning Recursive Functions from Noisy Examples using Generic Genetic Programming. In John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 238-246, Stanford University, CA, USA, 1996. MIT Press. details

  31. Man Leung Wong and Kwong Sak Leung. The Logic-Grammars-Based Genetic Programming System. In John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo editors, Genetic Programming 1996: Proceedings of the First Annual Conference, page 433, Stanford University, CA, USA, 1996. MIT Press. details

  32. Man Leung Wong and Kwong Sak Leung. Learning Programs in Different Paradigms using Genetic Programming. In Proceedings of the Fourth Congress of the Italian Association for Artificial Intelligence, 1995. Springer-Verlag. details

  33. Man Leung Wong and Kwong Sak Leung. An Induction System that Learns Programs in different Programming Languages using Genetic Programming and Logic Grammars. In Proceedings of the 7th IEEE International Conference on Tools with Artificial Intelligence, pages 380-387, Herndon, VA, USA, 1995. details

  34. Man Leung Wong and Kwong Sak Leung. An adaptive Inductive Logic Programming system using Genetic Programming. In John Robert McDonnell and Robert G. Reynolds and David B. Fogel editors, Evolutionary Programming IV Proceedings of the Fourth Annual Conference on Evolutionary Programming, pages 737-752, San Diego, CA, USA, 1995. MIT Press. details

  35. Man Leung Wong and Kwong Sak Leung. Combining Genetic Programming and Inductive Logic Programming using Logic Grammars. In 1995 IEEE Conference on Evolutionary Computation, volume 2, pages 733-736, Perth, Australia, 1995. IEEE Press. details

  36. Man Leung Wong and Kwong Sak Leung. Applying Logic Grammars to Induce Sub-Functions in Genetic Programming. In 1995 IEEE Conference on Evolutionary Computation, volume 2, pages 737-740, Perth, Australia, 1995. IEEE Press. details

  37. Man Leung Wong and Kwong Sak Leung. Learning First-order Relations from Noisy Databases using Genetic Algorithms. In Proceedings of the Second Singapore International Conference on Intelligent Systems, pages B159-164, 1994. details

Genetic Programming book chapters by Kwong-Sak Leung