Dr. rer. nat. Chuan-Kang Ting

Professor

Computational Intelligence Lab
Department of Computer Science
National Tsing Hua University

Office:

Room 726, Delta Building

E-Mail:

ckting_AT_cs.nthu.edu.tw

Phone:

+886-(0)3-5742795

Fax:

+886-(0)3-5731201
   

Chuan-Kang Ting is currently a Professor of Department of Computer Science, National Tsing Hua University (NTHU), Taiwan. He is serving as the Editor-in-Chief of IEEE Computational Intelligence Magazine (IF: 11.356) and Memetic Computing (IF: 5.900), and an Associate Editor of IEEE Transactions on Evolutionary Computation. He is the President of Taiwanese Association for Artificial Intelligence (TAAI).

His research interests include evolutionary computation, computational intelligence, artificial intelligence, machine learning, and their applications in intelligent systems, smart manufacturing, data mining, AI music and art. He is listed in the World’s Top 2% Scientists 2020 and 2021. He received the JSAI 2013 Best Paper Award, the TAAI 2016 Runner-up Best Paper Award, the TAAI 2019 Excellent Paper Award, and the First Place Prize of 2019 CTCI Foundation AI Creativity Competition: AI and Art. He has also received a number of teaching awards, including the 2021 NTHU Outstanding Teaching Award and the 2010 CCU Distinguished Teaching Award.

Prof. Ting was the IEEE Computational Intelligence Society (CIS) Webmaster, the IEEE CIS Newsletter Editor, the Chair of IEEE CIS Chapters Committee, and the Chair of IEEE CIS Creative Intelligence Task Force. He served as an Associate Editor or Editorial Board Member of IEEE Computational Intelligence Magazine, IEEE Transactions of Emerging Topics in Computational Intelligence, Memetic Computing, and Soft Computing. Prof. Ting has been involved in organization of many international conferences, symposiums, workshops, and special sessions. He is the Tutorial Chair of IEEE WCCI 2024 and was the Special Session Chair of IEEE WCCI 2016, WCCI 2018, and CEC 2019, the Chair of IEEE Symposium on Computational Intelligence for Creativity and Affective Computing 2013, the Program Chair of TAAI (2012, 2015), and the Organizing Chair of AI Forum (2012, 2023).

 

Education
  • Dr. rer. nat. in Computer Science, Paderborn University, Germany
  • M.S. in PME, National Tsing Hua University, Taiwan
  • B.S. in ME, National Chiao Tung University, Taiwan
Research Interests
  • Evolutionary Computation (EC)
  • Artificial Intelligence
  • Computational Intelligence
  • Machine Learning
  • Memetic Computing
  • EC/AI in Intelligent Systems, Smart Manufacturing, Data Mining, Bioinformatics, Networks, Music and Art

Join us! We are recruiting PhD and Master students interested in the above research topics. You are more than welcome to contact me or members of CI Lab.
Honors and Awards
  • World’s Top 2% Scientists, Stanford University (2021, 2022)
  • Outstanding Teaching Award, National Tsing Hua University (2021)
  • First Place Prize, CTCI Foundation AI Creativity Competition: AI and Arts (2019)
  • Excellent Paper Award, Conference on Technologies and Applications of Artificial Intelligence (TAAI 2019)
  • Second Place Prize, Competition on Evolutionary Multi-Task Optimization (IEEE CEC 2017)
  • Outstanding Dissertation Award (Advisor), Taiwanese Association for AI (2017)
  • Runner-up Best Paper Award, Conference on Technologies and Applications of Artificial Intelligence (TAAI 2016)
  • Outstanding Service Award, National Chung Cheng University (2016)
  • Teaching Excellence Merit Pay, National Chung Cheng University (2011, 2012, 2013, 2014, 2015, 2016, 2017)
  • Annual Conference Award of Japanese Society of AI (JSAI 2013)
  • Best GOLD Member Award, IEEE Tainan Section (2011)
  • Best Thesis Award (Advisor), Taiwanese Association for AI (2011)
  • Young Scholar Research Award, National Chung Cheng University (2010)
  • Distinguished Teaching Award, National Chung Cheng University (2010)
  • Scholarship of International Graduate School, Paderborn University (2002-2005)
  • IEEE CIS Student Travel Grants (2001, 2003, 2005)
Teaching
Undergraduate
  • Computer Programming (in English)
  • Object-Oriented Programming
  • Introduction to Artificial Intelligence
  • Probability Theory
Graduate
  • Evolutionary Computation (in English)
  • Metaheuristic Algorithms
  • Creative Intelligence
  • Probability and Stochastic Processes
  • Intelligent Vehicle Technology
  • Theory and Application of Evolutionary Algorithms @UPB (in English)
Publications
(For a complete list, please see Google Scholar and DBLP.)
Journal Papers
  1. Y.W. Wen and C.K. Ting. Recent advances of computational intelligence techniques for composing music. IEEE Transactions on Emerging Topics in Computational Intelligence, 2022.
  2. Y.W. Wen, S.H. Peng, and C.K. Ting. Two-stage evolutionary neural architecture search for transfer learning. IEEE Transactions on Evolutionary Computation, 25(5):928–940, 2021.
  3. R.T. Liaw and C.K. Ting. Evolution of biocoenosis through symbiosis with fitness approximation for many-tasking optimization. Memetic Computing, 12(4):399–417, 2020.
  4. C.C. Liao and C.K. Ting. A novel integer-coded memetic algorithm for the set k-cover problem in wireless sensor networks. IEEE Transactions on Cybernetics, 48(8):2245–2258, 2018.
  5. C.K. Ting, R.T. Liaw, T.C. Wang, and T.P. Hong. Mining fuzzy association rules using a memetic algorithm based on structure representation. Memetic Computing, 10(1):15–28, 2018.
  6. C.K. Ting, X.L. Liao, Y.H. Huang, and R.T. Liaw. Multi-vehicle selective pickup and delivery using metaheuristic algorithms. Information Sciences, 406:146–169, 2017.
  7. C.H. Liu and C.K. Ting. Computational intelligence in music composition: A survey. IEEE Transactions on Emerging Topics in Computational Intelligence, 1(1):2–15, 2017.
  8. C.K. Ting, C.L. Wu, and C.H. Liu. A novel automatic composition system using evolutionary algorithm and phrase imitation. IEEE Systems Journal, 11(3):1284–1295, 2017.
  9. C.K. Ting, T.C. Wang, R.T. Liaw, and T.P. Hong. Genetic algorithm with a structurebased representation for genetic-fuzzy data mining. Soft Computing, 21(11):2871–2882, 2017.
  10. C.K. Ting, C.S. Lin, M.T. Chan, J.W. Chen, S.Y. Chuang, and Y.T. Huang. A genetic algorithm for diploid genome reconstruction using paired-end sequencing. PLoS ONE, 11(11):1–24, 2016.
  11. C.H. Lin, R.H. Hwang, J.F. Lee, and C.K. Ting. Relay-aided downlink data broadcast in LTE-advanced or 802.16m WiMAX-based wireless networks. Journal of Internet Technology, 17(1):53–62, 2016.
  12. C.K. Ting and X.L. Liao. The selective pickup and delivery problem: Formulation and a memetic algorithm. International Journal of Production Economics, 141(1):199–211, 2013.
  13. S.C. Su, C.J. Lin, and C.K. Ting. An effective hybrid of hill-climbing and genetic algorithm for 2D triangular protein structure prediction. Proteome Science, 9:S19, 2011.
  14. C.Y. Wang, R.H. Hwang, and C.K. Ting. UbiPaPaGo: Context-aware path planning. Expert Systems With Applications, 38(4):4150–4161, 2011.
  15. C.K. Ting and C.C. Liao. A memetic algorithm for extending wireless sensor network lifetime. Information Sciences, 180(24):4818–4833, 2010.
  16. C.K. Ting, W.T. Lin, and Y.T. Huang. Multi-objective tag SNPs selection using evolutionary algorithms. Bioinformatics, 26(11):1446–1452, 2010.
  17. C.K. Ting, W.M. Zeng, and T.C. Lin. Linkage discovery through data mining. IEEE Computational Intelligence Magazine, 5(1):10–13, 2010.
  18. C.K. Ting, C.H. Su, and C.N. Lee. Multi-parent extension of partially mapped crossover for combinatorial optimization problems. Expert Systems With Applications, 37(3):1879–1886, 2010.
  19. C.K. Ting, C.F. Ko, and C.H. Huang. Selecting survivors in genetic algorithm using tabu search strategies. Memetic Computing, 1(3):191–203, 2009.
  20. C.K. Ting, C.N. Lee, H.C. Chang, and J.S. Wu. Wireless heterogeneous transmitter placement using multiobjective variable-length genetic algorithm. IEEE Transactions on Systems, Man, and Cybernetics–Part B: Cybernetics, 39(4):945–958, 2009.
  21. C.K. Ting, S.T. Li, and C.N. Lee. On the harmonious mating strategy through tabu search. Information Sciences, 156:189–214, 2003.
  22. S.C. Lin and C.K. Ting. A new approach for detection of dimensions set in mechanical drawings. Pattern Recognition Letters, 18(4):367–373, 1997.
Conference Papers
  1. M.H. Lu, Y.W. Wen, and C.K. Ting. Searching crease patterns by genetic algorithm for origami design. Proceedings of the 2022 IEEE Congress on Evolutionary Computation (CEC2022), IEEE Press, 2022.
  2. Y.F. Chang and C.K. Ting. Multiple crossover and mutation operators enabled genetic algorithm for non-slicing VLSI floorplanning. Proceedings of the 2022 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2022.
  3. Y.W. Wen and C.K. Ting. Composing bossa nova by evolutionary computation. Proceedings of the 2020 International Joint Conference on Neural Networks (IJCNN), IEEE Press, 2020.
  4. R.T. Liaw and C.K. Ting. Evolutionary manytasking optimization based on symbiosis in biocoenosis. Proceedings of the 2019 AAAI Conference on Artificial Intelligence (AAAI), AAAI Press, 2019.
  5. Y.H. Shih and C.K. Ting. Evolutionary optimization on k-nearest neighbors classifier for imbalanced datasets. Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2019.
  6. T.C. Wang, C.Y. Lin, R.T. Liaw, and C.K. Ting. Empirical analysis of island model on large scale global optimization. Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2019.
  7. K.J. Huang, Y.W. Wen, and C.K. Ting. Enhancing k-nearest neighbors through learning transformation functions by genetic programming. Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2019.
  8. R.T. Liaw and C.K. Ting. Incorporating fitness inheritance and k-nearest neighbors for evolutionary dynamic optimization. Proceedings of the 2018 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2018.
  9. T.C. Wang and C.K. Ting. Fitness inheritance assisted MOEA/D-CMAES for complex multi-objective optimization problems. Proceedings of the 2018 IEEE Congress on Evolutionary Computation (CEC), IEEE Press, 2018.
  10. Y.W. Wen and C.K. Ting. Designing facility layouts with hard and soft constraints by evolutionary algorithm. Proceedings of the 2018 International Conference on Artificial Intelligence for Industries (AI4I), IEEE Press, 2018.
  11. R.T. Liaw and C.K. Ting. Evolutionary many-tasking based on biocoenosis through symbiosis: A framework and benchmark problems. Proceedings of the 2017 IEEE Congress on Evolutionary Computation (CEC2017), IEEE Press, 2017.
  12. Y.W. Wen and C.K. Ting. Parting ways and reallocating resources in evolutionary multitasking. Proceedings of the 2017 IEEE Congress on Evolutionary Computation (CEC2017), IEEE Press, 2017.
  13. C.H. Liu and C.K. Ting. Fusing flamenco and argentine tango by evolutionary composition. Proceedings of the 2017 IEEE Congress on Evolutionary Computation (CEC2017), IEEE Press, 2017.
  14. R.T. Liaw, Y.W. Chang, and C.K. Ting. Solving the selective pickup and delivery problem using max-min ant system. Proceedings of the Eighth International Conference on Swarm Intelligence (ICSI2017), Springer, 2017.
  15. L.Y. Yen, R.T. Liaw, T.C. Wang, and C.K. Ting. Varying population size and survival time in genetic algorithm. Proceedings of the 2016 International Conference on Technologies and Applications of Artificial Intelligence (TAAI2016), IEEE Press, 2016. (*Runner-up Best Paper Award)
  16. R.T. Liaw and C.K. Ting. Enhancing covariance matrix adaptation evolution strategy through fitness inheritance. Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC2016), IEEE Press, 2016.
  17. T.C. Wang, R.T. Liaw, and C.K. Ting. MOEA/D using covariance matrix adaptation evolution strategy for complex multi-objective optimization problems. Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC2016), IEEE Press, 2016.
  18. Y.W. Wen and C.K. Ting. Learning ensemble of decision trees through multifactorial genetic programming. Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC2016), IEEE Press, 2016.
  19. Y.W. Chang, C.C. Liao, and C.K. Ting. An ant system for the selective pickup and delivery problem. Proceedings of the 2016 International Computer Symposium (ICS2016), IEEE Press, 2016.
  20. C.H. Liu and C.K. Ting. Music pattern mining for chromosome representation in evolutionary composition. Proceedings of the 2015 IEEE Congress on Evolutionary Computation (CEC2015), pages 2145–2152, IEEE Press, 2015.
  21. X.L. Liao, C.H. Chien, and C.K. Ting. A genetic algorithm for the minimum latency pickup and delivery problem. Proceedings of the 2014 IEEE Congress on Evolutionary Computation (CEC2014), IEEE Press, 2014.
  22. C.L. Wu, C.H. Liu, and C.K. Ting. A novel genetic algorithm considering measures and phrases for generating melody. Proceedings of the 2014 IEEE Congress on Evolutionary Computation (CEC2014), IEEE Press, 2014.
  23. C.K. Ting, T.C. Wang, and R.T. Liaw. An efficient representation for genetic-fuzzy mining of association rules. Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES2014), Springer, 2014.
  24. C.J. Lin, R.T. Liaw, and C.K. Ting. Considering reputation in the selection strategy of genetic programming. Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES2014), Springer, 2014.
  25. S.Y. Feng and C.K. Ting. Painting using genetic algorithm with aesthetic evaluation of visual quality. Proceedings of the 2014 International Conference on Technologies and Applications of Artificial Intelligence (TAAI2014), Springer, 2014.
  26. H.W. Chung and C.K. Ting. Multilevel broadcast recipient maximization in IEEE 802.16j using ant colony optimization. Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI2013), IEEE Press, 2013.
  27. C.H. Liu and C.K. Ting. Evolutionary composition using music theory and charts. Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI2013), IEEE Press, 2013.
  28. X.L. Liao and C.K. Ting. Solving the biobjective selective pickup and delivery problem with memetic algorithm. Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI2013), IEEE Press, 2013.
  29. R.T. Liaw and C.K. Ting. Effect of model complexity for estimation of distribution algorithm in NK landscapes. Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI2013), IEEE Press, 2013.
  30. X.L. Liao, W.C. Yang, and C.K. Ting. An evolutionary approach for the split pickup and delivery problem. Proceedings of the 27th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2013), 2013. (*Annual Conference Award)
  31. C.H. Liu and C.K. Ting. Polyphonic accompaniment using genetic algorithm with music theory. Proceedings of the 2012 IEEE Congress on Evolutionary Computation (CEC2012), IEEE Press, 2012.
  32. C.C. Liao and C.K. Ting. Extending the lifetime of dynamic wireless sensor networks by genetic algorithm. Proceedings of the 2012 IEEE Congress on Evolutionary Computation (CEC2012), IEEE Press, 2012.
  33. X.L. Liao and C.K. Ting. Evolutionary algorithms using adaptive mutation for the selective pickup and delivery problem. Proceedings of the 2012 IEEE Congress on Evolutionary Computation (CEC2012), IEEE Press, 2012.
  34. C.K. Ting, T.M. Chou, and C.C. Liao. Tabu search with random walk for lifetime extension in wireless sensor networks. Proceedings of the 2012 International Conference on Technologies and Applications of Artificial Intelligence (TAAI2012), IEEE Press, 2012.
  35. C.Y. Chen, X.L. Liao, C.C. Liao, and C.K. Ting. Pattern formation based on potential field in real-time strategy games. Proceedings of the 2012 International Conference on Technologies and Applications of Artificial Intelligence (TAAI2012), IEEE Press, 2012.
  36. Y.H. Huang and C.K. Ting. Genetic algorithm with path relinking for the multi-vehicle selective pickup and delivery problem. Proceedings of the 2011 IEEE Congress on Evolutionary Computation (CEC2011), pp. 1818–1825, IEEE Press, 2011.
  37. C.S. Lin and C.K. Ting. Emergent tactical formation using genetic algorithm in real-time strategy games. Proceedings of the 2011 International Conference on Technologies and Applications of Artificial Intelligence (TAAI2011), pages 325–330, IEEE Press, 2011.
  38. X.L. Liao and C.K. Ting. An evolutionary approach for the selective pickup and delivery problem. Proceedings of the 2010 IEEE Congress on Evolutionary Computation (CEC2010). pp. 1–8, IEEE Press, 2010.
  39. Y.H. Huang and C.K. Ting. Ant colony optimization for the single vehicle pickup and delivery problem with time window. Proceedings of the 2010 International Conference on Technologies and Applications of Artificial Intelligence (TAAI2010), pages 537–543, IEEE Press, 2010.
  40. C.K. Ting and C.H. Huang. Varying number of difference vectors in differential evolution. Proceedings of the 2009 IEEE Congress on Evolutionary Computation (CEC2009), pp. 1351–1358. IEEE Press, 2009.
  41. C.K. Ting and C.F. Ko. Incorporating tabu search into the survivor selection of genetic algorithm. Proceedings of the 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC2008), pp. 553–558, IEEE Press, 2008.
  42. C.C. Liao and C.K. Ting. Extending wireless sensor network lifetime through order-based genetic algorithm. Proceedings of the 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC2008), pp. 1434–1439. IEEE Press, 2008.
  43. C.K. Ting and C.C. Chen. The effects of supermajority on multi-parent crossover. Proceedings of the 2007 Congress on Evolutionary Computation (CEC2007), pp. 4524–4530, IEEE Press, 2007.
  44. C.C. Lai, C.K. Ting, and R.S. Ko. An effective genetic algorithm to improve wireless sensor network lifetime for large-scale surveillance applications. Proceedings of the 2007 Congress on Evolutionary Computation (CEC2007), pp. 3531–3538, IEEE Press, 2007.
  45. C.K. Ting. Multi-parent extension of edge recombination. Proceedings of the 2007 Genetic and Evolutionary Computation Conference (GECCO2007), ACM Press, 2007.
  46. C.C. Lai, C.K. Ting, and R.S. Ko. An effective genetic algorithm for improving wireless sensor network lifetime. Proceedings of the 2007 Genetic and Evolutionary Computation Conference (GECCO2007), ACM Press, 2007.
  47. C.K. Ting. On the mean convergence time of multi-parent genetic algorithms without selection. Proceedings of the Eighth European Conference on Artificial Life (ECAL 2005), Lecture Notes in Artificial Life, vol. 3630, pp. 403–412, Springer-Verlag, 2005.
  48. C.K. Ting. On the convergence of multi-parent genetic algorithms. Proceedings of the 2005 Congress on Evolutionary Computation (CEC2005), pp. 396–403, IEEE Press, 2005.
  49. O. Kramer, C.K. Ting, and H. Kleine Büning. A new mutation operator for evolutionary strategies for constrained problems.Proceedings of the 2005 Congress on Evolutionary Computation (CEC2005), pp.2600–2606, IEEE Press, 2005.
  50. O. Kramer, C.K. Ting, and H. Kleine Büning. A mutation operator for evolutionary strategies to handle constrained problems. Proceedings of the 2005 Conference on Genetic and Evolutionary Computation (GECCO 2005), vol. 1, ACM Press, 2005.
  51. C.K. Ting. An analysis of the effectiveness of multi-parent crossover. Parallel Problem Solving from Nature (PPSN VIII), Lecture Notes in Computer Science, vol. 3242, pp. 131–140, Springer-Verlag, 2004.
  52. C.K. Ting. Improving edge recombination through alternate inheritance and greedy manner. Evolutionary Computation in Combinatorial Optimization (EvoCOP 2004), Lecture Notes in Computer Science, vol. 3004, pp. 210–219, Springer-Verlag, 2004.
  53. C.K. Ting and H. Kleine Büning. A mating strategy for multi-parent genetic algorithms by integrating tabu search. Proceedings of the 2003 Congress on Evolutionary Computation (CEC2003), pp.1259–1266, IEEE Press, 2003.
  54. S.T. Li, C.K. Ting, and C.N. Lee. Maintenance scheduling of oil storage tanks using tabu-based genetic algorithm. Proceedings of the Fourth IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02), pp. 209–215, IEEE Press, 2002.
  55. C.K. Ting, S.T. Li, and C.N. Lee. TGA: A new integrated approach to evolutionary algorithms. Proceedings of the 2001 Congress on Evolutionary Computation (CEC2001), pp.917–924, IEEE Press, 2001.
  56. C.K. Ting, C.N. Lee, and S.T. Li. A novel hybrid optimization algorithm based on genetic algorithm and tabu searchnovel hybrid optimization algorithm based on genetic algorithm and tabu search. Proceedings of International Computer Symposium, pp. 157–162, 2000.
Professional Activities
Editorship
Professional Services
Conference Organization
  • Organizing Chair, AI Forum 2023
  • Organizing Chair, AI Forum 2012
  • Tutorial Chair, IEEE World Congress on Computational Intelligence (WCCI 2024)
  • Special Session Chair, IEEE Congress on Evolutionary Computation (CEC 2019)
  • Special Session Chair, IEEE World Congress on Computational Intelligence (WCCI 2018)
  • Special Session Chair, IEEE World Congress on Computational Intelligence (WCCI 2016)
  • Program Chair, International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2012, 2015)
  • Publicity Chair, IEEE Symposium Series on Computational Intelligence (SSCI 2020)
  • Publicity Chair, IEEE Congress on Evolutionary Computation (CEC 2015)
  • Special Session Chair, IEEE Computational Intelligence and Games (CIG 2015)
  • Workshop & Special Session Chair, ASE International Conference on Big Data (BigData 2015)
  • Workshop Chair, International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013, 2014)
  • Publicity Chair, International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2011)
  • Publicity Chair, International Conference on Swarm, Evolutionary and Memetic Computing (SEMCCO 2010)
  • Chair, IEEE Symposium on Computational Intelligence for Creativity (SSCI 2013)
  • Chair, Workshop on Theory and Applications of Evolutionary Algorithms (TAAI 2010-2016)
  • Chair, Workshop on Artificial Intelligence and Nature-Inspired Computing (ICS 2016)
  • Chair, Workshop on Artificial Intelligence and Biologically Inspired Computing (NCS 2013)
  • Chair, Workshop on Hybrid Computational Intelligence for IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)
  • Chair, Special Session on Evolutionary Computation for Music, Art, and Creativity (CEC 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023)
  • Chair, Special Session on Evolutionary Computation for Creative Intelligence (CEC 2012, 2013)
  • Chair, Special Session on Memetic Computing (CEC 2018, 2019, 2020, 2021, 2022, 2023)
  • Chair, Special Session on Evolutionary Multitasking (CEC 2021, 2022)
  • Chair, Special Session on Evolutionary Deep Learning and Applications (CEC 2019, 2020, 2021, 2023)
  • Chair, Special Session on When Evolutionary Computation Meets Data Mining (CEC 2015, 2016, 2017, 2018, 2019)
  • Chair, Special Session on Intelligent Network Systems (CEC 2014, 2015, 2017, 2021, 2022, 2023)
  • Chair, Special Session on Intelligent Data Analysis and Applications on Big Data (BigData 2015)
  • Chair, Special Session on Special Session on Evolutionary Computation and Data Mining (IES 2014)
  • Chair, Special Session on Intelligent Data Analysis and Applications (JSAI 2013)
  • Chair, Special Session on Swarm Intelligence and Data Mining (IDEAL 2013)
  • Chair, Special Session on Computational Intelligence in Communications and Networking (WCCI 2012)
  • Chair, Special Session on Bio-Inspired Computing in Multi-Objective Optimization (IBICA 2012)
  • Chair, Special Session on Evolutionary Computation in Network Optimization (CEC 2011)
  • Chair, Special Session on Evolutionary Computation in Scheduling (WCCI 2010)
  • Chair, Special Session on Linkage in Evolutionary Computation (CEC 2009)
Invited Talks
  • Plenary Speaker, Composing Music by Evolutionary Computation, IEEE SSCI 2022 (12/2022)
  • Speaker, A*STAR CFAR AI Symposium 2022 (12/2022)
  • Panel Speaker, Landscape of Publications in Computational Intelligence, IEEE WCCI 2020 (07/2020)