Kangli Publications

Book Review

1. Self-Adaptive Systems for Machine Intelligence. Wiley-Interscience. Author: Haibo He, 2007.
2. On-Line Kernel Learning. Wiley. Authors : Weifeng Liu, Jose C. Principe, Simon Haykin, 2008.

Journal Publications

1. E-W Bai, K. Li. “Convergence of the Iterative Algorithm for a General Hammerstein System Identification”, Automatica, Vol. 46, No.11, November 2010, pp 1891-1896.
2. Xueqin Liu, K. Li, Marion McAfee, Jing Deng, “Application of Nonlinear PCA for Fault Detection in Polymer Extrusion Processes”, Neural Computing and Applications, 2011, doi 10.1007/s00521-011-0581-y.
3. D. Du, K. Li, G. W. Irwin and J. Deng, “A novel automatic two-stage locally regularized classifier construction method using the extreme learning machine”. Neurocomputing , accepted.


4. Xueqin Liu, K. Li, Marion McAfee, G. Irwin, “Improved Nonlinear PCA for Process Monitoring Using Support Vector Data Description”, Journal of Process Control, Volume 21, Issue 9, October 2011, Pages 1306-1317, 10.1016/j.jprocont.2011.07.003..
5. Jing Deng, K. Li, George W. Irwin, Minrui Fei, “Two-stage RBF network construction based on particle swarm optimization”, Transactions of the Institute of Measurement and Control, doi: 10.1177/0142331211403795, 2011.
6. Minrui Fei, Weihua Deng, K. Li, and Yang Song, Stabilization of a Class of Networked Control Systems with Stochastic Properties”, International Journal of Modelling, Identification and Control, 2011 (accepted).
7. Jing Deng, K Li, George W. Irwin, “Fast automatic two-stage nonlinear model identification based on Extreme Learning Machine”, Neurocomputing, 74 (16): 2422–2429, 2011, doi:10.1016/j.neucom.2010.11.035.
8. Jing Deng, K Li, George W. Irwin, “Locally regularised two-stage learning algorithm for RBF network centre selection”, International Journal of Systems Science , DOI: 10.1080/00207721.2010.545490, 2011.
9. Wen Yu, K Li, Xiaoou Li, “Automated nonlinear system modeling with multiple neural networks”, International Journal of Systems Science , Volume 42, Issue 10, 2011, pp 1683-1695, DOI: 10.1080/00207721003624550, 2011.
10. Haibo He, Sheng Chen, K Li, Xin Xu. “Incremental Learning from Stream Data”. IEEE Transactions on Neural Networks, 2011 (provisionally accepted).
11. Chamil Abeykoona, K Li, Marion McAfee, Peter J. Martin, Qun Niu, Adrian L. Kelly, Jing Deng, “A new model based approach for the prediction and optimisation of thermal homogeneity in single screw extrusion”, Control Engineering Practice, , Vol 19, No 8, 2011, pp 862-874.
12. Chamil Abeykoona, Marion McAfee, K Li, Peter J. Martin, Adrian L. Kelly, “The inferential monitoring of the screw disturbance torque to predict process fluctuations in polymer extrusion”, Journal of Materials Processing Technology, 2011, doi:10.1016/j.jmatprotec.2011.05.002.
13. Hui Pan, Minrui Fei* and Ling Wang, K Li, Lin Qiang, “Direct Nyquist array design of PID controllers for boiler-turbine units based on gain and phase margins”, Int. J. Computer Applications in Technology, 2011 (in press).
14. D. Du, K. Li, M. Fei, “A fast multi-output RBF neural network construction method”, Neurocomputing, Vol. 73, 2010, pp 2196-2202.
15. X. Xia, K. Li, G. W. Irwin, “A hierarchical multiclass support vector machine incorporated with holistic triple learning units”, Soft Computing, Volume 15, Number 5, 833-843, DOI: 10.1007/s00500-010-0551-9, 2011.
16. K Li, Haibo He, Dajun Du, J Deng, “Compact Extreme Learning Machines for Biological Systems”, Invited paper, International Journal of Computational Biology and Drug Design, 2010, Vol. 3, No. 2, 112-132.
17. R. T. Cunningham, M. H. Mooney, X.L. Xia, S. Crooks, D. Matthews, M. O. Keeffe, K. Li and C. T. Elliott. Feasibility of a Clinical Chemical Analysis Approach to Predict Misuse of Growth Promoting Hormones in Cattle. Analytic Chemistry, 2009, 81 (3), pp 977–983.
18. K. Li, and H. Wu, Editorial, “Special Issue on Computational Intelligence Part 1”, International Journal of Modelling, Identification and Control, Vol. 8(2), 89-90, 2009.
19. K. Li, and H. Wu, Editorial, “Special Issue on Computational Intelligence Part 2”, International Journal of Modelling, Identification and Control, Vol. 8(3), 173-174, 2009.
20. B. Pizzileo, K. Li, and G. W. Irwin, “A fast method for fuzzy neural network modelling and refinement”, International Journal of Modelling, Identification and Control, Vol. 8(3), 175-183, 2009.
21. X. Xia, K. Li, G. W. Irwin, “Two-stage gene selection for support vector machine classification of microarray data”, International Journal of Modelling, Identification and Control, Vol. 8(2), 164 – 171, 2009, DOI: 10.1504/IJMIC.2009.029029.
22. X. Hong, R.J. Mitchell, S. Chen, C. J. Harris, K. Li, G. W. Irwin. “Model selection approaches for non-linear system identification: a review”. International Journal of Systems Science , Vol. 39, No. 10, 925–946, October 2008.
23. K. Li, J. Peng, E-W Bai. “Two-stage mixed discrete-continuous identification of Radial Basis Function (RBF) neural models for nonlinear systems”. IEEE Transactions on Circuits & Systems, Vol 56, No. 3, 630-643, March 2009.
24. K. Li, Editorial, Special issue on Life System Modelling and Simulation, Transactions of the Institute of Measurement and Control, Vol. 30, No. 3-4, 205-206, 2008.
25. K. Li, X Hong, G. W. Irwin, Editorial, Life System Modelling, Simulation, and Bio-inspired Computing, Special issue on Life System Modelling and Simulation, Neurocomputing, Vol 72, Nos 1-3, 126-127, 2008.
26. S Huang, H. He, K. Li, Editorial, Special issue on Life System Modelling and Simulation, Applied Mathematics and Computation, Vol 205, 3-5, 2008.
27. S. Ma, K. Li, “Fast parametric time-frequency modeling of nonstationary signals”, Applied Mathematics and Computation, Vol. 205, 170–177, 2008.
28. P. Gormley, K Li, G. W. Irwin, “Modelling molecular interaction pathway using a two-stage Identification Algorithm”, Systems and Synthetic Biology, 1(3): 145–160, 2008.
29. M. Fei, D. Du, K. Li, “A fast model identification method for networked control system”. Applied Mathematics and Computation , Vol 205, No 2, 658-667, 2008.
30. P.K. Li, K. Li, “A Recursive Algorithm for Nonlinear Model Identification”. Applied Mathematics and Computation, Vol 205, No 2, Pages 511-516, 2008.
31. J. Peng, K. Li, G. W. Irwin. “A new Jacobian matrix for optimal learning of single-layer neural nets”. IEEE Transactions on Neural Networks, Vol. 19, No.1, 119-129, 2008.
32. P. Connally, K. Li, G. W. Irwin. “Integrated Structure Selection and Parameter Optimisation for Eng-genes Neural Models”, Neurocomputing, Vol 71, No 13-15, 2964-2977, 2008.
33. C-H Zheng, D-S Huang, K. Li and G. W. Irwin, “MISEP Method for Post-Nonlinear Blind Source Separation”. Neural Computation, 19: 2557-2578, 2007.
34. J. Peng, K. Li, G. W. Irwin. “A novel Continuous forward algorithm for RBF neural modelling”, IEEE Transactions on Automatic Control, Vol 52, No.1, pp. 117-122, 2007.
35. P. Connally, K. Li, G. W. Irwin. “Prediction- and Simulation-error Based Perceptron Training: Solution Space Analysis and a Novel Combined Training Scheme”. Neurocomputing Vol 70, 819-827, 2007.
36. K. Li, J. Peng. “Neural Input Selection – A Fast Model Based Approach”. Neurocomputing , Vol 70, pp 762-769, 2007.
37. Z. Yao; M. Fei, K. Li, H. Kong, B. Zhao. “A distributive genetic algorithm for recognition of blue-green algal using neural networks”. Neurocomputing, Vol 70, 641-647, 2007.
38. J. Cervantes, X. Li, W. Yu, K. Li. “Support vector machine classification for large data sets via minimum enclosing ball clustering”. Neurocomputing, Volume 71, Issues 4-6, Pages 611-619 , 2008.
39. K. Li, J. Peng, E-W Bai. “A two-stage algorithm for identification of nonlinear dynamic systems”. Automatica, Vol. 42, No 7, pp. 1189-1197, 2006.
40. J. Peng, K. Li, D.S. Huang. “A Hybrid forward Algorithm for RBF neural Network construction”. IEEE Transactions on Neural Networks, Vol 17, No. 6, pp 1439-1451, 2006.
41. K. Li, J. Peng, “System Oriented Neural Networks – Problem Formulation, Methodology, and Application”, International Journal of Pattern Recognition and Artificial Intelligence , Vol. 20, No. 2 (2006) 143-158..
42. J. Peng, K. Li, S. Thompson, P. A. Wieringa. “Distribution-based Adaptive Bounding Genetic Algorithm for Continuous Optimisation Problems”. Applied Mathematics and Computation., Vol 185: 1063–1077, 2007.
43. L. Shang, K. Li, Tat-Ming Lok and M. R. Lyu, “A Novel Non-negative Shrinkage Technique Based on The Normal Inverse Gaussian Density Model”, Transactions of the Institute of Measurement and Control , Vol. 28, No. 1 (2006): 109-119.
44. H. Wang, K. Li, “A New Algorithm Based on Support Vectors and the Penalty Strategy for Identifying Key Genes Related with Cancer”, Transactions of the Institute of Measurement and Control , Vol. 28, No. 3, 263-273, 2006.
45. K. Li, J. Peng, S. Thompson, “Genetic neural Modeling of pollutant Emissions from thermal power plants”, Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications & Algorithms, Vol. 14, pp 48-56, 2007.
46. K. Li, J. Peng, Editorial, Supplemental issue on Intelligent Computing Theory and Methodology, Special Issue on Intelligent Computing, Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications & Algorithms, Vol. 14, Pages: I-III, 2007.
47. K. Li, Editorial, Special issue on Intelligent Computing, Transactions of the Institute of Measurement and Control, Vol. 28, No. 1 (2006): 1-2.
48. T.X. Mei, K. Li, Q. Zhao, G. Maione, Editorial, Special Issue on Automatic Control and Information, International Journal of Information Technology, Vol. 11, No. 11, 2005.
49. K. Li, W. Yu, S.H Yang, S. Sharma, Editorial, Special issue on Evolutionary Algorithm & Advanced Learning System, International Journal of Information Technology, Vol. 11, No. 10, 2005.
50. K. Li, J. Peng, G. Irwin, “A fast nonlinear model identification method”, IEEE Transactions on Automatic Control, Vol. 50, No. 8, 1211-1216, 2005.
51. K. Li, S. Thompson, J. Peng, “Modelling and prediction of NOx emission in a coal-fired power generation plant", Control Engineering Practice, Vol. 12, 707-723, 2004.
52. K. Li, S. Thompson, “NOx emission models suitable for operation and control of power generation boilers", Clean Air: International Journal on Energy for a Clean Environment, Vol 5, 89-105, Begell House, 2004.
53. K. Li, S. Thompson, P.A. Wieringa, J. Peng, G. Duan, "Neural networks and genetic algorithms can support human supervisory control to reduce fossil fuel power plant emissions". Cognition, Technology & Work, Springer-Verlag, ISSN: 1435-5558, Vol. 5, No. 2, pp: 107-126, June 2003.
54. K. Li, P.A. Wieringa, "Structured operation environment and perceived complexity in supervisory control". Asian Journal of Control, 2001, Vol. 3, No.3, pp. 181-189.
55. K. Li, P.A. Wieringa, “Understanding perceived complexity in human supervisory control”, Cognition, Technology & Work, International Journal for The Design, Analysis And Use of Joint Cognitive Systems, 2000, Vol. 2, No.2, 75-88.

Conference papers

1. Guotao Wang,Shujuan Wang, Kang Li, “A Study on the Activation Condition of Vibration Tests for Particle Impact Noise Detection of Space Relay Remainders”, The 6th IEEE Conference on Industrial Electronics and Applications, 21-23 June 2011, Beijing, China.
2. Xiaoqing Tang, Qun Niu, K. Li, and George W. Irwin, “Particle Swarm Optimization for Economic Dispatch”, The second European conference and exhibition on Innovative Smart Grid Technologies (ISGT-EUROPE 2011), Dec 5-7, 2011, Manchester, accepted.
3. Abeykoon C, Li K, McAfee M, Martin PJ and GW Irwin, ‘Extruder melt temperature control with fuzzy logic’, Proc. 18th IFAC World Congress, Bittanti, S and Cenedese A, Zampieri S (eds), ISBN: 978-3-902661-93-7, Milan, Italy, Aug 28- 2 Sept 2011, DOI: 10.3182/20110828-6-IT-1002.01576


4. Zhang J, Q. Niu, Li K and GW Irwin, ‘Model selection in SVMs using differential evolution’, Proc. 18th IFAC World Congress, Bittanti, S and Cenedese A, Zampieri S (eds), ISBN: 978-3-902661-93-7, Milan, Italy, Aug 28- 2 Sept 2011, DOI: 10.3182/20110828-6-IT-1002.01576
5. C. Abeykoon, K. Li, P. J. Martin, M. McAfee, “Modelling of Melt Pressure Development in Polymer Extrusion: Effects of Process Settings and Screw Geometry”, Proceedings of 2011 International Conference on Modelling, Identification and Control (ICMIC 2011), Shanghai, 26-29 June 2011, pp 180-185.
6. C. Abeykoon, K. Li, P. J. Martin, M. McAfee, J. Deng, A. L. Kelly, ”Modelling the Effects of Operating Conditions on Die Melt Temperature Homogeneity in Single Screw Extrusion”, Lecture Notes in Computer Science, 2010, Volume 6329, Life System Modeling and Intelligent Computing, Pages 9-20. 2010 International Conference on Life System Modeling and Simulation & 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS & ICSEE 2010), September 17-20, 2010, Wuxi, China.
7. Da Lu, K Li, and Guangzhou Zhao, “Speed Control for a Permanent Magnet Synchronous Motor with an Adaptive Self-tuning Uncertainties Observer”, Lecture Notes in Computer Science, 2010, Volume 6329, Life System Modeling and Intelligent Computing, Pages 379-389. 2010 International Conference on Life System Modeling and Simulation & 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS & ICSEE 2010), September 17-20, 2010, Wuxi, China.
8. Minrui Fei, Weihua Deng, K Li, Yong Song, ‘Stabilization of a Class of Networked Control Systems with Stochastic Properties’, Lecture Notes in Computer Science, 2010, Volume 6328, Life System Modeling and Intelligent Computing, Pages 1-6. 2010 International Conference on Life System Modeling and Simulation & 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS & ICSEE 2010), September 17-20, 2010, Wuxi, China.
9. D. Du, M. Fei, K. Li, “Stability Analysis of Multi-Channel MIMO Networked Control Systems”, Lecture Notes in Computer Science, 2010, Volume 6328, Life System Modeling and Intelligent Computing, Pages 62-68. 2010 International Conference on Life System Modeling and Simulation & 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS & ICSEE 2010), September 17-20, 2010, Wuxi, China.
10. Jing Deng, Kang Li, George W. Irwin, and Minrui Fei, “ A fast forward RBF network construction with particle swarm optimization”, Lecture Notes in Computer Science, 2010, Volume 6329, Life System Modeling and Intelligent Computing, Pages 40-48. 2010 International Conference on Life System Modeling and Simulation & 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS & ICSEE 2010), September 17-20, 2010, Wuxi, China.
11. Aolei Yang, Qun Niu, Wanqing Zhao, K. Li, and George Irwin. “An efficient algorithm for grid-based path planning based on priority sorting of direction vectors”, Lecture Notes in Computer Science, 2010, Volume 6329, Life System Modeling and Intelligent Computing, Pages 456-466. 2010 International Conference on Life System Modeling and Simulation & 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS & ICSEE 2010), September 17-20, 2010, Wuxi, China.
12. Wanqing Zhao, K. Li, G. Irwin, “An Integrated Method for the Construction of Compact Fuzzy Neural Models”, Lecture Notes in Computer Science, 2010, Volume 6215, Advanced Intelligent Computing Theories and Applications, Pages 102-109. 2010 International Conference on Intelligent Computing (ICIC2010), August 18-21, 2010, Changsha, Hunan, China.
13. Xueqin Liu, K. Li, Marion McAfee, and Jing Deng, “Improved Nonlinear PCA Based on RBF Networks and Principal Curves”, Lecture Notes in Computer Science, 2010, Volume 6328, Life System Modeling and Intelligent Computing, Pages 7-15. 2010 International Conference on Life System Modeling and Simulation & 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS & ICSEE 2010), September 17-20, 2010, Wuxi, China.
14. Hui Pan, , Minrui Fei, Ling Wang, K. Li, “A Frequency Domain Approach to PID Controllers Design in Boiler-Turbine Units”, Communications in Computer and Information Science, 1, Volume 98, Life System Modeling and Intelligent Computing, Part 1, Pages 73-81. 2010 International Conference on Life System Modeling and Simulation & 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS & ICSEE 2010), September 17-20, 2010, Wuxi, China.
15. Yukui Zhang, Shiji Song, Cheng Wu, K. Li, “Identification of Chiller Model in HVAC System Using Fuzzy Inference Rules with Zadeh’s Implication Operator”, Lecture Notes in Computer Science, 2010, Volume 6328, Life System Modeling and Intelligent Computing, Pages 399-408. 2010 International Conference on Life System Modeling and Simulation & 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS & ICSEE 2010), September 17-20, 2010, Wuxi, China.
16. Hao Zhang, K. Li, Cheng Wu. “Fuzzy Chance Constrained Support Vector Machine”. Lecture Notes in Computer Science, 2010, Volume 6328, Life System Modeling and Intelligent Computing, Pages 270-281. 2010 International Conference on Life System Modeling and Simulation & 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS & ICSEE 2010), September 17-20, 2010, Wuxi, China.
17. Jing Deng, K. Li, George W. Irwin, Robert F. Harrison, "A Fast Automatic Construction Algorithm for Kernel Fisher Discriminant Classifiers", 49th IEEE Conference on Decision and Control, December 15-17, 2010, Atlanta, Georgia USA, pp 2825-2830.
18. Xueqin Liu, K. Li*, Marion McAfee, Jing Deng "'Soft-sensor' for Real-time Monitoring of Melt Viscosity in Polymer Extrusion Process", 49th IEEE Conference on Decision and Control, December 15-17, 2010, Atlanta, Georgia USA, 3469-3474.
19. C. Abeykoon, M. McAfee, K. Li, A. L. Kelly, E. C. Brown, “Investigation into monitoring and control of melt temperature homogeneity in single-screw extrusion”, ANTEC 2010, May 16-20, 2010, Orlando, Florida, pp:1799-1806.
20. J. Deng, K Li, G. W. Irwin, “A two-stage algorithm for automatic construction of RBF neural models”, The 15th IEEE Mediterranean Electrotechnical Conference, Valletta, Malta, 26 - 28 April 2010 Melecon, 2010.
21. Sheng Chen, Haibo He, K Li, and Sachi Desai. “MuSeRA: Multiple Selectively Recursive Approach towards Imbalanced Stream Data Mining”, 2010 IEEE World Congress on Computational Intelligence (IEEE WCCI 2010), Barcelona, July 18-23, 2010.
22. K. Li; Gormley, P.; Shiji Song, “Application of lρ norm regularization methods for modelling biological systems”, 2009 International Conference on Machine Learning and Cybernetics, Vol 6: 3532-3537, Baoding, China, 12-15 July, 2009.
23. C. Abeykoon*, M. McAfee, S. Thompson, K. Li, A.L. Kelly, E.C. Brown, “Investigation of torque fluctuations in extrusion through monitoring of motor variables”, Proceedings of the Polymer Processing Society Europe/Africa Regional Meeting ~ PPS-2009 ~ October 18-21, 2009 Larnaca (Cyprus).
24. J. Deng, G. W. Irwin, and K Li, "Engine fault detection using a nonlinear FIR model and a locally regularized recursive algorithm", Proc. IET Irish Systems and Signals Conference, UCD, Dublin, 9-10 June 2009.
25. B. Pizzileo, K. Li, and G. W. Irwin. “A New Fuzzy Rule Selection Procedure for Fuzzy-Neural Modelling”, 15th IFAC Symposium on System Identification, SYSID 2009, Saint-Malo, France, July 6-8, 2009.
26. D. Du, K. Li, M. Fei, G. Irwin, “An Automatic Forward Model Selection Approach Based on Leave-One-Out Cross-Validation”, 15th IFAC Symposium on System Identification, SYSID 2009, Saint-Malo, France, July 6-8, 2009.
27. B. Pizzileo, K. Li, and G. W. Irwin, “A new algorithm for structure optimization in fuzzy neural networks”, 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, September 21-23, 2009 Istanbul, Turkey.
28. Xiao-Lei Xia and K. Li. “Tree-Structured Learning of Multi-class SVMs with Triple Learning Units”, The 5th International Conference on Natural Computation (ICNC'09) and the 6th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'09) ICNC’09-FSKD’09, 14-16 August, 2009, Tianjin, China.
29. Weihua Deng, Minrui Fei, K. Li. “T-S Fuzzy Control of Uncertain Nonlinear Networked Control Systems”. Proceedings of International Conference on Advanced Computer Control, ICACC 2009, 36-40, Singapore.
30. B. Pizzileo, K. Li, and G. W. Irwin, “A fast method for fuzzy neural network modelling and refinement”, International Conference on Modelling, Identification and Control, June 29 - July 2, 2008, Shanghai, China.
31. X. Li, K. Li, G. W. Irwin, “A Two-Stage SVM Classifier for Large Data Sets with Application to RNA Sequence Detection”, International Conference on Modelling, Identification and Control, June 29 - July 2, 2008, Shanghai, China.
32. J. Deng, M. Fei, K. Li, “An Novel E-Laboratory for Remote Monitoring and Control”, Proceedings of the 17th IFAC World Congress, pp 9817-9822, Seoul, Korea, July 6-11, 2008.
33. X. Xia, K. Li, G. W. Irwin, “Improved training of an optimal sparse least squares support vector machine”, Proceedings of the 17th IFAC World Congress, pp 7028-7033, Seoul, Korea, July 6-11, 2008.
34. X. Xia, K. Li, “A sparse multi-class least squares support vector machine”, 2008 IEEE International Symposium on Industrial Electronics, Cambridge, UK, June 30 to July 2, 2008.
35. X. Xia, K. Li, “A Fast Training Algorithm for Least-Squares Support Vector Machines”, International Conference on Control 2008, Manchester, Sept 2-5, 2008, ISBN 978-0-9556152-1-4.
36. X. Xia, K. Li, “A New Score Correlation Analysis Based Multi-Class Support Vector Machine For Microarray Datasets”. 2007 International Joint Conference on Neural Networks (IJCNN), Orland, Florida, August 12-17, 2007, pp 2610-2615.
37. B. Pizzileo, K. Li, “A new fast algorithm for fuzzy rule selection”, IEEE International Conference on Fuzzy Systems, Imperial College, London, UK, 23-26 July, 2007, pp 1-6, ISSN: 1098-7584.
38. D. Du, L. Li, K. Li and M. Fei. “A Novel Implicit Generalized Predictive Control Algorithm”. 2007 IEEE International Conference on Control and Automation, Guangzhou, CHINA - May 30 to June 1, 2007, pp 2716-2720, ISBN: 978-1-4244-0818-4.
39. K. Li, J. Peng, M. Fei, X. Li, and W. Yu. “Integrated Analytic Framework for Neural Network Construction”. 2007 International Symposium on Neural Networks, June 3-7, 2007, Nanjing, China, Lecture Notes in Computer Science Vol. 4492, pp 483-492.
40. B. Pizzileo, K. Li, and G. W. Irwin. “A Fast Fuzzy Neural Modelling Method for Nonlinear Dynamic Systems”. 2007 International Symposium on Neural Networks, June 3-7, 2007, Nanjing, China, Lecture Notes in Computer Science Vol. 4491, 496-504.
41. J. Cervantes, X. Li, W. Yu, K. Li. “Support vector machine classification for large data sets via minimum enclosing ball clustering”. 2007 International Symposium on Neural Networks, June 3-7, 2007, Nanjing, China.
42. P. Gormley, K. Li, G. W. Irwin, “Modelling the MAPK Signalling Pathway using a 2-Stage Identification Algorithm”, Life System Modeling and Simulation, Lecture Notes in Bioinformatics, Springer-Verlag GmbH, Volume 4689, 2007. 480-491.
43. X. Li, K. Li, “A Two-Stage SVM Classifier for Large Data Sets with Application to RNA Sequence Detection Life System Modeling and Simulation”, Lecture Notes in Bioinformatics, Springer-Verlag GmbH, Volume 4689, 2007. 8-20.
44. M. Fei, D. Du, K. Li, “Two-Layer Networked Learning Control of a Nonlinear HVAC System”. Bio-Inspired Computational Intelligence and Applications, Lecture Notes in Computer Science, Vol. 4688, 2007, 697-709.
45. B. Pizzileo, K. Li, and G. W. Irwin. “A Fast Fuzzy Neural Modelling Method for Nonlinear Dynamic Systems”. Advances in Neural Networks - ISNN 2007, Lecture Notes in Computer Science, Volume 4491, Springer, 2007, 496-504.
46. K. Li, Jian-Xun Peng, Minrui Fei. "Real-time construction of neural networks". Artificial Neural Networks – ICANN 2006. Lecture Notes in Computer Science, Springer-Verlag GmbH. LNCS 4131, 2006, 140-149.
47. P. Connally, K. Li, and G. W. Irwin, “Integrated Structure and Parameter Selection for Eng-genes Neural Models”, Advances in Intelligent Computing, Lecture Notes in Computer Science, Springer-Verlag GmbH. LNCS 4113, 2006, 168-177.
48. K. Li, B. Pizzileo, A. Ogle, and C. Scott, “Staged Neural Modeling with Application to Prediction of NOx Pollutant Concentrations in Urban Air”, Lecture Notes in Computer Science, Springer-Verlag GmbH. LNCS 4113, 2006, 1282-1293.
49. Y-Y Wan, J-X Du, and K. Li, “A Novel Feature Extraction Approach to Face Recognition Based on Partial Least Squares Regression”, Lecture Notes in Computer Science, Springer-Verlag GmbH. LNCS 4113, 2006, 1078-1804.
50. S. Pei, D-S Huang, K. Li, and G. W. Irwin, “Gene Selection by Cooperative Competition Clustering”, Computational Intelligence and Bioinformatics, Lecture Notes in Bioinformatics, Springer-Verlag GmbH, LNBI 4115, 464-474, 2006.
51. X. Yan, L. Cao, D-S Huang, K. Li, and G. W. Irwin, “A Novel Feature Fusion Approach Based on Blocking and Its Application in Image Recognition”, Lecture Notes in Computer Science, Springer-Verlag GmbH. LNCS 4113, 2006, 1085-1091.
52. J. Zhang, M. Fei, K. Li, and Q. Zhu, “Fuzzy Modeling of a Medium-Speed Pulverizer Using Improved Genetic Algorithms”, Lecture Notes in Computer Science, Springer-Verlag GmbH. LNCS 4113, 2006, 1269-1274.
53. K. Li, J. Peng, “A fast Input selection algorithm for neural Modeling of nonlinear dynamic systems”, Advances in Intelligent Computing, Lecture Notes in Computer Science, 3645, pp. 1045 – 1054, Ed: DS Huang, et al, Springer-Verlag GmbH., 2005.
54. J. Zhang, J-R Zhang, K. Li. “Sequential Niching Technique for Particle Swarm Optimization”, Advances in Intelligent Computing, Lecture notes in Computer Science, 3644, pp. 390-399, Ed: DS Huang, et al, Springer -Verlag GmbH, 2005.
55. K. Li, A. Ogle, B. Pizzileo. “Advanced regression method for prediction of NOx pollutant concentrations in urban air”. European Geosciences Union General Assembly 2006, Vienna, Austria, 02 – 07 April 2006.
56. P. Connally, K. Li, G. W. Irwin, Shuzhi Sam Ge. “Nonlinear adaptive control using Eng-genes neural networks”, International Conference Control 2006, Glasgow, Scotland, August 30 to September 1, 2006, BSN: 0 947649549.
57. K. Li, J. Peng, Er-Wei Bai. “A two-stage algorithm for identification of nonlinear dynamic systems”, 14th IFAC Symposium on System Identification, March 29-31, 2006, Newcastle, Australia, Volume 14, Part 1, ISBN: 978-3-902661-02-9
58. K. Li, “Eng-genes: A new genetic modelling approach for nonlinear dynamic systems”, Proceedings of the 16th IFAC World Congress, Prague, July 4-8, 2005.
59. J. Peng and K. Li, “A novel GA-based Neural modelling platform for nonlinear dynamic systems”, Proceedings of the 16th IFAC World Congress, Prague, July 4-8, 2005.
60. P. Connally, K. Li, G. Irwin, “Two applications of eng-genes based nonlinear identification”, Proceedings of the 16th IFAC World Congress, Prague, July 4-8, 2005..
61. J. Peng, K. Li, S. Thompson, “Adaptive zooming Genetic Algorithm for Continuous Optimisation Problems”, Proceedings of the 16th IFAC World Congress, Prague, July 4-8, 2005..
62. K. Li, J. Peng, G. W. Irwin, L. Piroddi, W. Spinelli. “Estimation of NOx Emissions in Thermal Power plants using eng-genes neural networks”. Proceedings of the 16th IFAC World Congress, Prague, July 4-8, 2005.
63. K. Li, "Application of various modelling techniques to analyse a housing condition survey dataset", Proceedings of IEEE International Conference on Systems, Man and Cybernetics, October 10-13, The Hague, The Netherlands, 2004, Vol. 409 - 414.
64. K. Li, P. Wieringa, "Interactive modelling for supervisory control of industrial processes with increased complexity", Proceedings of IEEE International Conference on Systems, Man and Cybernetics, October 10-13, The Hague, The Netherlands, 2004, Vol 3, 2713- 2718.
65. W. Spinelli, L. Piroddi, K. Li, "Nonlinear modeling of NOx emission in a coal-fired power generation plant", 43rd IEEE International Conference on Decision and Control, Paradise Island, Bahamas, December 14-17, 2004, Vol 4, 3850 – 3855.
66. J. Peng, K. Li, S. Thompson, "A Combined Adaptive Bounding and Adaptive Mutation Technique for Genetic Algorithms", Proceedings of the 5th World Congress on Intelligent Control and Automation (WCICA’04), Hangzhou, China, June 15-19, pp 2154-2158, 2004
67. K. Li, "A New Input Selection Method for Neural Modeling of Nonlinear Complex Systems", Proceedings of the 5th World Congress on Intelligent Control and Automation (WCICA’04), Hangzhou, China, June 15-19, pp 2018-2021, 2004.
68. K. Li. G. Irwin, “Application-oriented neural modelling”. Preprints of the 13th IFAC Symposium on System Identification, SYSID-2003, pp 1137-1142, Eds: P.M.J. Van den Hof, B. Wahlberg, S. Weiland, Rotterdam, August 27- 29, 2003.
69. K. Li. “A new fast algorithm for identification of nonlinear dynamic systems using Radial Basis Function Networks”. European Control Conference, ECC2003, paper 367, University of Cambridge, Sept 1-4, 2003.
70. K. Li, S. Thompson, J. Peng, X. Chen. “Data Mining Can Help Human Supervisory Control of Critical Complex Industrial Systems”. European Control Conference, ECC2003, paper 563, University of Cambridge, Sept 1-4, 2003.
71. K. Li, S. Thompson, G. R. Duan, J. Peng, “A case study of fundamental grey-box modelling”, 15th IFAC World Congress on Automatic Control, Barcelona, CDROM, July 2002.
72. K. Li, S. Thompson, “MLP based nonlinear dynamic system modeling through improved training algorithm”, 15th IFAC World Congress on Automatic Control, Barcelona, CDROM, July 2002.
73. K. Li, S. Thompson, J. Peng, “GA based neural network modeling of NOx emission in a coal-fired power generation plant”, 15th IFAC World Congress on Automatic Control, CDROM, Barcelona, July 2002.
74. J. Peng, S. Thompson, K. Li, “A Hybrid Genetic Algorithm for NOx Emission Modelling in Power Generation Plants”, 15th IFAC World Congress on Automatic Control, Barcelona, CDROM, July 2002.
75. K. Li, S. Thompson, P. A. Wieringa, J. Peng, “A study on the role of human operators in supervised automation system and its implications”, The Forth World Congress on Intelligent Control and Intelligent Automation (WCICA'2002), Shanghai, June 2002, pp. 3288-3293.
76. J. Peng, S. Thompson, K. Li, “A Gradient-guided Niching Method in Genetic Algorithm for Solving Continuous Optimisation Problems”, The Forth World Congress on Intelligent Control and Intelligent Automation (WCICA'2002), Shanghai, June 2002, pp. 3333-3338.
77. K. Li, S. Thompson, “Fundamental Grey-box Modelling”, Proceedings of the European Control Conference 2001, Sept. 3 to 7, 2001, Oporto, Portugal, pp. 3648-3653.
78. K. Li, S. Thompson, “NOx emission models for operation and control of power generation boilers”, 6th International Conference on Technologies and Combustion for A Clean Environment, Vol. 2, 889-895, Porto, Portugal, 2001.
79. J. Peng, K. Li, S. Thompson, “GA based software for power generation plant NOx emission modelling”, 6th International Conference on Technologies and Combustion for A Clean Environment, Vol. 2, 881-887, Porto, Portugal, 2001.
80. K. Li, S. Thompson, “G-cactus: A Tool for Integrated Process Design and Control”, UKACC International Conference on CONTROL 2000, Cambridge, 4-7 Sept., 2000.
81. K. Li, S. Thompson, “Developing NOx Emission Model for a Coal-fired Power Generation Plant Using Artificial Neural Networks’, UKACC International Conference on CONTROL, Cambridge, 4-7 Sept., 2000.
82. S. Thompson, K. Li, “A MLP Prediction Model for Power Plant NOx emission”, IFAC Workshop on Algorithms and Architectures for Real-Time Control (AARTC2000), Spain, 5-17 May, 2000, Eds V. Hernández and G. W. Irwin, pp 108-114.
83. K. Li, S. Thompson, “Cascading neural network and its application to modeling power plant pollutant emission”, The Third World Congress on Intelligent Control and Intelligent Automation (WCICA'2000), Vol. 2, Hefei, China, 2000, 992-997.
84. K. Li, S. Thompson, “NOx Emission Modeling and Prediction of a 200-MWe Power Generation Boiler Using Multilayer Perceptron Neural Networks”, 31st Annual North American Power Symposium, San Luis Obispo, USA, 1999, 218-224.
85. N. Li, K. Li, S. Thompson, "Employing a new type of neural network to optimise power plant air/fuel ratio", 14th IFAC World Congress, Vol. O, pp. 333-338, Beijing, China, 1999.
86. K. Li, Y.G. Xi, Y. Zhang, "Some novel characterizations of generic rank of structured matrix", Proceedings of the American Control Conference, Philadelphia, Pennsylvania, USA, June 22, 1998, pp2510-2514 (Citations: 1).
87. P.A. Wieringa, Z.G. Wei, K. Li, H.G. Stassen, "Supervising Automation". Preprints of the IFAC/IFP/IFORS/IEA Symposium on Analysis, Design and Evaluation of Man-Machine Systems. KICH, Kyoto, Japan 16-18 september, 1998
88. K. Li, P.A. Wieringa, "An experimental study on human supervisory control of industrial process and its applications to process system design and automation system design, Preprints of 5th IFAC Symposium on Dynamics and Control of Process Systems, Corfu, Greece, June 8, 1998, pp467-472.

Edited International Conference Proceedings

1. K. Li, Xin Li, Shiwei Ma, George W. Irwin (editors), Life System Modeling and Intelligent Computing. International Conference on Life System Modeling and Simulation, LSMS 2010 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010 Wuxi, China, September 17-20, 2010. Proceedings, Part I, Communications in Computer and Information Science, Springer-Verlag GmbH. CCIS-98, 2010.


2. K. Li, Xin Li, Shiwei Ma, George W. Irwin (editors), Life System Modeling and Intelligent Computing. International Conference on Life System Modeling and Simulation, LSMS 2010 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010 Wuxi, China, September 17-20, 2010. Proceedings, Part II, Communications in Computer and Information Science, Springer-Verlag GmbH. CCIS-97, 2010.
3. K. Li, Minrui Fei, Li Jia, George W. Irwin (editors), Life System Modeling and Intelligent Computing. International Conference on Life System Modeling and Simulation, LSMS 2010 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010 Wuxi, China, September 17-20, 2010. Proceedings, Part I, Lecture Notes in Computer Science, Springer-Verlag GmbH, LNCS 6328, 2010.
4. K. Li, Minrui Fei, Li Jia, George W. Irwin (editors), Life System Modeling and Intelligent Computing. International Conference on Life System Modeling and Simulation, LSMS 2010 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010 Wuxi, China, September 17-20, 2010. Proceedings, Part II, Lecture Notes in Computer Science, Springer-Verlag GmbH, LNCS 6329, 2010.
5. K. Li, Minrui Fei, Li Jia, George W. Irwin (editors), Life System Modeling and Intelligent Computing. International Conference on Life System Modeling and Simulation, LSMS 2010 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010 Wuxi, China, September 17-20, 2010. Proceedings, Part III, Lecture Notes in Bioinformatics, Springer-Verlag GmbH, LNBI 6330, 2010.
6. K. Li, M. Fei, G. Irwin, S. Ma (editors), Bio-inspired computational intelligence and applications. Lecture Notes in Computer Science, Springer-Verlag GmbH. LNCS 4688, 2007.
7. K. Li, X. Li. G. Irwin, G. He (editors), Life system modelling and simulation. Lecture Notes in Bioinformatics, Springer-Verlag GmbH. LNBI 4689, 2007.
8. D.S. Huang, K. Li, G. W. Irwin (editors). Advances in Intelligent Computing, Lecture Notes in Computer Science, Springer-Verlag GmbH. LNCS 4113, 2006.
9. D.S. Huang, K. Li, G. W. Irwin (editors). Computational Intelligence, Lecture Notes in Artificial Intelligence, Springer-Verlag GmbH, LNAI 4114., 2006.
10. D.S. Huang, K. Li, G. W. Irwin (editors). Computational Intelligence and Bioinformatics, Lecture Notes in Bioinformatics, Springer-Verlag GmbH, LNBI 4115, 2006.
11. D.S. Huang, K. Li, G. W. Irwin (editors). Intelligent Control and Automation, Lecture Notes in Control and Information Sciences, LNCIS 344, Springer-Verlag GmbH, 2006.
12. D.S. Huang, K. Li, G. W. Irwin (editors). Intelligent Computing in Signal Processing and Pattern Recognition, Lecture Notes in Control and Information Sciences, LNCIS 345, Springer-Verlag GmbH, 2006.
Contributed Book Chapters
1. K. Li, G.-B. Huang, S. Ge, “A Fast Construction Algorithm for Feedforward Neural Networks”, Handbook of Natural Computing, Springer Verlag, 2010, eds (Rozenberg, Grzegorz; Bäck, Thomas H.W.; Kok, Joost N.), ISBN: 978-3-540-92911-6, Volume I: .
2. S. Thompson, and K. Li, “Modelling of NOx emissions in coal-fired plants”, in Thermal Power Plant Simulation and Control, Flynn(ed.), Power and Energy Series 43, IEE Press, pp: 243-268, ISBN: 085296496, 2003.

Others

1. Thompson and K. Li, “Fundamental Grey-box Modelling for operation and control of coal-fired power generation plants”, QUB Report (172 page), 2002.
2. S. Thompson, K. Li, J. Peng, “New methods for modelling NOx emission in coal-fired power generation plants”, Modelling for Power Generation Workshop, ETSU and DTI Cleaner Coal Technology Transfer Programme, March 2002.
3. S. Thompson and K. Li, “Fundamental Grey-box Modelling and Identification of Non-linear Dynamic Systems”. QUB Report (71 pages). No 2842, 2000.
4. S. Temple, S. Thompson, K. Li, G. R. Duan and S. McLoone, “Fuzzy logic control of a continuous rotary steriliser in the food industry - a feasibility study”, Process Control and Instrumentation 2000, University of Strathclyde, 26-28 July 2000, pp 92-99.