Dr. Jing deng

Research Fellow
Polymer Processing Research Centre (PPRC)
School of Mechanical and aerospace engineering
Queen's University Belfast
Room 8.006, Ashby Building, Stranmillis Road, Belfast BT9 5AH
Tel: +44 (0)28 9097 4480
Mobile: +44 77 2741 9195
Email: ku.ca.buq|10gnedj#ku.ca.buq|10gnedj

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Publications

Journal papers

J. Zhang, W. Zhao, K. Li, J. Deng and G. Maione, "Fast Model Selection for a New LS-SVM Solution", submitted to IEEE Transactions on Neural Networks and Learning Systems, 2012.
J. Deng, K. Li, E. Harkin-Jones, M. Price, and M. Fei, “Energy monitoring and quality control of a single screw extruder,” submitted to Applied Energy,2012.
J. Deng, K. Li, E. Harkin-Jones, and G. W. Irwin, “Modelling of polymer viscosity using two-stage selection and optimum experimental design,” submitted to polymer engineering and science, 2012
J. Vera-Sorroche, A. Kelly, E. Brown, P. Coates, N. Karnachi, E. Harkin-Jones, K. Li, and J. Deng, “Thermal optimisation of polymer extrusion using in-process monitoring techniques,” Applied Thermal Engineering,2012, http://dx.doi.org/10.1016/j.applthermaleng.2012.04.013.
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 , 2012, http://dx.doi.org/10.1016/j.neucom.2011.12.052
Q. Niu, Z. Zhou, H. Zhang, and J. Deng, “An Improved Quantum-Behaved Particle Swarm Optimization Method for Economic Dispatch Problems with Multiple Fuel Options and Valve-Points Effects,” Energies, vol. 5, pp. 3655–3673, 2012.
J. Deng, K. Li, and G. Irwin, "Locally regularised two-stage learning algorithm for RBF network centre selection," International Journal of Systems Science, 2011, no.1, 1-14.
J. Deng, K. Li, and G. W. Irwin, “Fast automatic two-stage nonlinear model identification based on the extreme learning machine,” Neurocomputing, vol. 74, no. 16, pp. 2422–2429, 2011.
J. Deng, K. Li, G.W. Irwin, and M.R. Fei, "Two-stage RBF network construction based on PSO," Transactions of the Institute of Measurement and Control, 0(0), 2011, pp. 1-9
X.Q. Liu, K. Li, M. McAfee, J. Deng, "Application of Nonlinear PCA for Fault Detection in Polymer Extrusion Processes," Neural Computing & Applications, pp. 1–8, 2011 ISSN: 0941-0643
C. Abeykoona, K. Li, M. McAfee, P.J. Martin, Q. Niu, A.L. Kelly, J. Deng, "A new model based approach for the prediction and optimisation of thermal homogeneity in single screw extrusion," Control Engineering practice, 19(8), pp 862-874, 2011. IDS Number: 799DJ ISSN: 0967-0661
K. Li, J. Deng, H.B. He, and D.J. Du, "Compact Extreme Learning Machines for Biological Systems," International Journal of Computational Biology and Drug Design (IJCBDD), 2010, vol. 3, no. 2, 112-132.
J. Deng, M.R. Fei, and H.K. Wang, "Design of OPC server based on USB data acquisition module (基于USB数据采集模块的OPC服务器设计)," Process automation instrumentation, vol. 28, 2007, pp. 22-25.

Conference papers

J. Deng, K. Li, E. Harkin-Jones, and G.W. Irwin, "Two-stage subset selection based on A-optimality experimental design," submitted to European Control Conference 2013
J. Deng, K. Li, E. Harkin-Jones, M. Price, and M. Fei, “Energy consumption analysis for a single screw extruder,” in The second International Conference on Intelligent Computing for Sustain- able Energy and Environment (ICSEE2012), Shanghai, China, 2012.
Dajun Du, Kang Li, and Jing Deng, “An efficient two-stage gene selection method for microarray data,” in The second International Conference on Intelligent Computing for Sustain- able Energy and Environment (ICSEE2012), Shanghai, China, 2012.
X. Liu, K. Li, M. McAfee, and J. Deng, “Polymer Extrusion Process Monitoring Using Nonlinear Dynamic Model-based PCA,” in The 2012 UKACC International Conference on Control (UKACC control 2012), Cardiff, UK, 2012, pp. 7–12.
J. Deng, Z. Yang, K. Li, G. Menary, and E. Harkin-Jones, “Heuristically optimized RBF neural model for the control of section weights in stretch blow moulding,” in The 2012 UKACC International Conference on Control (UKACC control 2012), Cardiff, UK, 2012, pp. 24–29.
J. Deng, K. Li, E. Harkin-Jones, and M. Fei, “Melt quality control for a single screw extruder by fuzzy logic,” in The fourth International Conference on Applied Energy (ICAE2012), Suzhou, China, 2012, pp. 1246–1251.
J. Deng, K. Li, G.W. Irwin, and R.F. Harrison, "A Fast Automatic Construction Algorithm for Kernel Fisher Discriminant Classifiers," The 49th IEEE Conference on Decision and Control, 15-17 December 2010, Atlanta, Georgia, USA, pp 2825-2830.
X.Q. Liu, K. Li, M. McAfee, and J. Deng, "'Soft-sensor' for real-time monitoring of melt viscosity in polymer extrusion process" (2010), Proc. 49th IEEE Conference on Decision and Control, December 15-17, 2010, Atlanta, Georgia, USA, pp 3469-3474.
Jing Deng, K Li, George W. Irwin, “Fast automatic two-stage nonlinear model identification based on Extreme Learning Machine”, International Workshop on Extreme Learning Machines (ELM2010), 8 December 2010, Adelaide, Australia..
J. Deng, K. Li, G.W. Irwin, and M.R. Fei, "Fast forward RBF network construction based on particle swarm optimization," Life System Modelling and Simulation, Lecture Notes in Computer Science, 2010, vol. 6329, 40-48.
J. Deng, K. Li, and G.W. Irwin, "A two-stage algorithm for automatic construction of neural network models," 15th IEEE Mediterranean Electromechanical Conference, 25-28 April 2010, Valetta, Malta, pp. 166-171.
Abeykoon, C, McAfee, M, Li, K, Martin, P, J, Deng, J and Kelly, A L. "Modelling the effects of operating conditions on motor power consumption in single screw extrusion" Life System Modelling and Intelligent Computing, Lecture Notes in Computer Science, 2010, Vo. 6329, 9-20. pdf ppt
Abeykoon, C, Li, K, McAfee, M, Martin, P, J, Deng, J, Kelly, A, L, "Modelling the effects of operating conditions on die melt temperature homogeneity in single screw extrusion" (2010), UKACC International Control Conference, Coventry, UK, pp 42-47.
X.Q. Liu, K. Li, M. McAfee, and J. Deng, "Improved Nonlinear PCA Based on RBF Networks and Principal Curves", Life System Modeling and Intelligent Computing, Lecture Notes in Computer Science, 2010, Vol. 6328, 7-15.
J. Deng, G.W. Irwin, and K. Li, "Engine fault detection using a nonlinear FIR model and a locally regularised recursive algorithm," Proc. IET Irish Systems and Signals Conference, 9-10 June 2009, UCD, Dublin.
L.X. Li, J. Deng, K. Li, and M.R. Fei, "A Novel E-Laboratory for Remote Monitoring and Control," Proceedings of the 17th International Federation of Automatic Control, 6-11 July 2008, Seoul, Korea, pp. 9817-9822