The University of Sheffield
Automatic Control and Systems Engineering

Dr Hua-Liang Wei
Lecturer

Photo of Dr Hua-Liang weiAddress:
Dr H.L. Wei, BSc, MSc, PhD
Department of Automatic Control and Systems Engineering
University of Sheffield
Sheffield
S1 3JD
Tel: (+44) (0)114 222 5198(Office)
Fax: (+44) (0)114 222 5683
Email: w.hualiang @ sheffield.ac.uk
Room: D06, Amy Johnson Building

Dr Wei is head of the following two Labs:

Research Interests

Research Grants

EPSRC Platform Grant, S A Billings, V Kadirkamanathan, Z Q Lang, D Coca, M Balikhin, H L Wei, `System Identification and Information Processing for Complex Systems´, 04/01/2010 to 03/01/2015, £1,21M

Royal Society Collaboration Grant, V. Kadirkamanathan and H. L. Wei, `Investigation of the control mechanism on co-culture bioethanol producing system´, 2010-2012, £11,950

EPSRC, H L Wei, `System Identification and Data Modelling of Complex Nonlinear and Nonstationary Processes´, 04/01/2011 to 31/03/2012, £101,004

The Ryder Briggs Charity, P.G. Sarrigiannis, Y. Zhao, H .L. Wei,  F. He, S. A. Billings, `The thalamic clock and the cortical focus theory in childhood absence epilepsy—an insight with a new approach of quantitative EEG analysis in the time domain: the error reduction ratio method´, 01/04/2013 to 30/03/2014, £8,378

Professional activities and recognition

Teaching

Selected Journal Publications

2013

  1. Zhao, Y., Billings, S. A., Wei, H. L., Sarrigiannis, P.G., “A parametric method to measure time-varying linear and nonlinear causality with applications to EEG data”, IEEE Transactions on Biomedical Engineering (Accepted).
  2. Fei, H., Billings, S. A., Wei, H. L., Sarrigiannis, P.G., and Zhao, Y. (2013) ‘Spectral analysis for nonstationary and nonlinear systems: A discrete-time model based approach’, IEEE Transactions on Biomedical Engineering (Accepted).
    [PDF] http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6478782 
  3. Wang, S., Wei, H. L., Coca, D., and Billings, S. A., “Model term selection for spatio-temporal system identification using mutual information”, Int. J. Systems Sci., 44(2), 223-231, 2013.
    [PDF] http://www.tandfonline.com/doi/pdf/10.1080/00207721.2011.600468 
  4. Zhao, Y., Billings, S.A., Wei, H.L., He, F., and Sarrigiannis, P.G.,  “A new NARX-based Granger linear and nonlinear casual influence detection method with applications to EEG data”, J. Neurosci. Methods, 212(1), 79-86, 2013.
    [PDF] http://www.sciencedirect.com/science/article/pii/S0165027012003913  
  5. Billings, C. G., Wei, H. L., Thomas P., Linnane S. J., Hope-Gill, B. D. M., “The prediction of in-flight hypoxaemia using non-linear equations”, Respiratory Medicine, 107(6), 841-847, 2013.
    [PDF] http://www.sciencedirect.com/science/article/pii/S0954611113000656   
  6. Rastätter, L., Kuznetsova, M. M., Glocer, A., Welling, D., Meng, X., Raeder, J.,  Wiltberger, M., Jordanova, V. K., Yu, Y., Zaharia, S., Weigel, R. S., Sazykin, S., Boynton, R., Wei, H. L., Eccles, V., Horton, W., Mays, M. L., Gannon, J., “Geospace environment modeling 2008–2009 challenge: Dst index”, Space Weather, 11(4), 187-205, 2013.
    [PDF] http://onlinelibrary.wiley.com/doi/10.1002/swe.20036/pdf    
  7. Li, P., Wei, H. L., Billings, S. A., Balikhin, M. A., and Boynton, R., “Nonlinear model identification from multiple data sets using an orthogonal forward search algorithm”, Journal of Computational and Nonlinear Dynamics, 8(4), 041001, Mar 26, 2013 (10 pages).
    [PDF] http://computationalnonlinear.asmedigitalcollection.asme.org/article.aspx?articleid=1673045      

2012

  1. Zhao, Y., Billings, S.A., Wei, H. L., and Sarrigiannis, P.G., ”Tracking time-varying causality and directionality of information flow using an error reduction ratio test with applications to electroencephalography data”, Physical Review E., 86(5), art. no. 051919.
    [PDF] http://pre.aps.org/pdf/PRE/v86/i5/e051919
  2. Li, L., Wei, H. L., Billings, S.A., and  Liao, X.F., “Time-varying linear and nonlinear parametric model for Granger causality analysis”, Physical Review E, 85(4), art. no. 041906, 2012.
    [PDF] http://pre.aps.org/pdf/PRE/v85/i4/e041906  
  3. Zhao, Y., Wei, H. L., and Billings, S. A., “A new adaptive fast cellular automaton neighborhood detection and rule identification algorithm”, IEEE Trans Systems, Man, and Cybernetics, Part B: Cybernetics, 42(4), 1283-1287, 2012.
    [PDF] http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6213564   

2011

  1. Balikhin, M.A., Boynton, R.J., Walker, S.N., Borovsky, J.E., Billings, S.A., and Wei, H.L., “Using the NARMAX approach to model the evolution of energetic electrons fluxes at geostationary orbit”, Geophysical Research Letters, 38(18), art. no. L18105, 2011.
    [PDF] http://onlinelibrary.wiley.com/doi/10.1029/2010JA015505/pdf
  2. Balikhin, M. A., Billings, S. A., Wei, H. L., Ganushkina, N., “Using the NARMAX OLS-ERR algorithm to obtain the most influential coupling functions that affect the evolution of the magnetosphere”, Journal of Geophysical Research, 116, A05218, May 2011.
    [PDF] http://onlinelibrary.wiley.com/doi/10.1029/2010JA015505/pdf
  3. Li, L., Wei, H. L., Billings, S. A., and  Sarrigiannis, P. G., “Time-varying model identification for time-frequency feature extraction from EEG data”, Journal of Neuroscience Methods, 196(1), pp.151-158,  2011.
    [PDF]  http://www.sciencedirect.com/science/article/pii/S0165027010006631
    [PDF]  http://eprints.whiterose.ac.uk/74672/
  4. Wei, H. L., Billings, S. A., Sharma, A. S., Wing, S., Boynton, R. J., and Walker, S. N., “Forecasting Relativistic Electron Flux Using Dynamic Multiple Regression Models”, Annales Geophysicae, 29, pp415-420, 2011.
    [PDF] http://www.ann-geophys.net/29/415/2011/angeo-29-415-2011.pdf
  5. Li, Y., Wei, H. L., and Billings, S. A., “Identification of time-varying systems using multi-wavelet basis functions,” IEEE Transactions on Control Systems Technology, 19(3), pp656-663, 2011.
    [PDF] http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5499438
    [PDF] http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5499438&tag=1

2010

  1. Balikhin, M.A., Boynton, R.J., Billings, S. A., Gedalin, M., Ganushkina, N., Coca, D., and Wei, H.L., “Data based quest for solar wind-magnetosphere coupling function”, Geophysical Research Letters, 37, L24107,  2010.
    [Abstract] http://onlinelibrary.wiley.com/doi/10.1029/2010GL045733/abstract
    [PDF] http://onlinelibrary.wiley.com/doi/10.1029/2010GL045733/pdf
  2. Wei, H. L., Billings, S. A., Zhao, Y., and Guo, L. Z., “An adaptive wavelet neural network for spatio-temporal system identification”, Neural Networks, 23(10), pp.1286-1299, 2010.
    [PDF]  http://linkinghub.elsevier.com/retrieve/pii/S0893608010001450
    [PDF]  http://www.sciencedirect.com/science/article/pii/S0893608010001450
  3. Wei, H. L., Billings, S. A. and Liu, J., “Time-varying parametric modelling and time-dependent spectral characterisation with applications to EEG signals using multiwavelets”, International Journal of Modelling, Identification and Control, 9(3), pp.215-224, 2010.
    [PDF] http://inderscience.metapress.com/index/GX482842150756R5.pdf
    [PDF] http://eprints.whiterose.ac.uk/74634/1/977.pdf

2009

  1. Wei, H. L., Billings, S. A., Zhao, Y., and Guo, L. Z., “Lattice dynamical wavelet neural networks implemented using particle swarm optimization for spatio-temporal system identification”, IEEE Transactions on Neural Networks, 20(1), pp. 181-185, 2009.
    [PDF] http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4703194
    [PDF] http://eprints.whiterose.ac.uk/8553/2/Weihl3pdf.pdf
  2. Wei, H. L. and Billings, S. A., “Improved model identification for nonlinear systems using a random subsampling and multiple modelling (RSMM) approach”,  International Journal of Control, 82(1), pp. 27-42, 2009.
    [PDF] http://www.tandfonline.com/doi/pdf/10.1080/00207170801955420
    [PDF] http://eprints.whiterose.ac.uk/8552/1/Wei_Improved_model.pdf
  3. Wei, H. L. and Billings, S. A., “Improved parameter estimates for non-linear dynamical models using a bootstrap method”, International Journal of Control, 82(11), pp. 1991-2001, 2009.
    [PDF] http://www.tandfonline.com/doi/pdf/10.1080/00207170902854118
  4. Wei, H. L., Zheng, Y., Pan, Y., Coca, D., Li, L. M., Mayhew, J. E. W., and Billings, S. A., “Model estimation of cerebral hemodynamics between blood flow and volume changes: A data-based modeling approach”, IEEE Transactions on Biomedical Engineering, 56(6), pp. 1606-1616, 2009.
    [PDF] http://eprints.whiterose.ac.uk/8747/2/Wei_1.pdf
    [PDF] http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4760267   
  5. Wei, H. L. and Billings, S. A., “Power-law behaviour evaluation from foreign exchange market data using a wavelet transform method”,  Physics Letters A, 373(37), pp3324-3329.
    [PDF] http://eprints.whiterose.ac.uk/9828/1/Wei1.pdf
    [PDF] http://linkinghub.elsevier.com/retrieve/pii/S0375960109008494  

2008

  1. Billings, S. A. and Wei, H. L., “An adaptive orthogonal search algorithm for model subset selection and nonlinear system identification”, International Journal of Control, 81(5), pp.714-724, 2008.
    [PDF]  http://www.tandfonline.com/doi/pdf/10.1080/00207170701216311   
    [PDF]  http://eprints.whiterose.ac.uk/8555/2/weihl4.pdf   
  2. Wei, H. L. and Billings, S. A., “Model structure selection using an integrated forward orthogonal search algorithm assisted by squared correlation and mutual information”, International journal of Modelling, Identification and Control, 3(4), pp. 341-356, 2008.
    [PDF] http://eprints.whiterose.ac.uk/8554/2/Weihl5.pdf
    [PDF] http://inderscience.metapress.com/index/C2T43L7231756852.pd
  3. Wei, H. L., Lang, Z. Q., and Billings, S. A., “Constructing an overall dynamical model for a system with changing design parameter properties”, International Journal of Modelling, Identification and Control, 5(2), pp. 93-104, 2008.
    [PDF] http://eprints.whiterose.ac.uk/8550/2/weihl2.pdf
    [PDF] http://inderscience.metapress.com/index/0745142R32WQ5782.pdf 
  4. Wei, H. L. and Billings, S. A., “Generalized cellular neural networks (GCNNs) constructed using particle swarm optimization for spatio-temporal evolutionary pattern identification”, International Journal of Bifurcation and Chaos, 18(12), pp. 3611-3624, 2008.
    [PDF] http://www.worldscientific.com/doi/abs/10.1142/S0218127408022585
    [PDF] http://eprints.whiterose.ac.uk/8551/2/Wei_Generalised.pdf

2007

  1. Billings, S. A. and Wei, H. L., “Sparse model identification using a forward orthogonal regression algorithm aided by mutual information”, IEEE Transactions on Neural Networks, 18(1), pp. 306-310, 2007.
    [PDF] http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4049812
    [PDF] http://eprints.whiterose.ac.uk/1970/1/weihl5_IEEE2007-TNN-18%281%29p306-310w.pdf
  2. Billings, S. A., Wei, H. L. and Balikhin, M. A., “Generalised multiscale radial basis function networks”, Neural Networks, 20(10), pp.1081-1094, 2007.
    [PDF] http://linkinghub.elsevier.com/retrieve/pii/S0893608007001876
    [PDF] http://www.sciencedirect.com/science/article/pii/S0893608007001876
  3. Wei, H. L. and Billings, S. A., “Feature subset selection and ranking for data dimensionality reduction”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(1), pp.162-166, 2007.
    [PDF]  http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4016558
    [PDF]  http://eprints.whiterose.ac.uk/1947/1/weihl3.pdf
  4. Wei, H.L., Lang, Z. Q. and Billings, S. A., “An algorithm for determining the output frequency range of Volterra models with multiple inputs”, IEEE Transactions on Circuits and Systems-II. Express Briefs, 54(6), pp532-536, 2007.
    [PDF] http://eprints.whiterose.ac.uk/2666/1/langzq3.pdf
    [PDF] http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4237378    
  5. Wei, H. L., Zhu, D. Q., Billings, S. A., and Balikhin, M. A., “Forecasting the geomagnetic activity of the Dst index using multiscale radial basis function networks”, Advances in Space Research, 40(12), pp.1863-1870, 2007.
    [PDF]  http://linkinghub.elsevier.com/retrieve/pii/S0273117707002086
    [PDF]  http://www.sciencedirect.com/science/article/pii/S0273117707002086
  6. Wei, H. L. and Billings, S. A., “A comparative study on global wavelet and polynomial models for non-linear regime-switching systems”, International Journal of Modelling, Identification and Control, 2(4), pp. 273-282, 2007.
    [PDF]  http://dx.doi.org/10.1504/IJMIC.2007.016410
    [PDF]  http://eprints.whiterose.ac.uk/8549/2/weihl1.pdf

2006

  1. Billings, S. A., Guo, L. Z., and Wei, H. L., “Identification of coupled map lattice models for spatio-temporal patterns using wavelets”, Int. J. Syst. Sci., 37(14), pp.1021-1038, 2006.
    [PDF]  http://www.tandfonline.com/doi/pdf/10.1080/00207720600963015
  2. Guo, L. Z., Billings, S. A., and Wei, H. L., “Estimation of spatial derivatives and identification of continuous spatio-temporal dynamical systems”, International Journal of Control, 79(9), pp.1118-1135, 2006.
    [PDF]  http://www.tandfonline.com/doi/pdf/10.1080/00207170600804050 
  3. Wei, H. L. and Billings, S. A., “Long term prediction of non-linear time series using multiresolution wavelet models”, International Journal of Control., 79(6), pp. 569-580, 2006.
    [PDF] http://www.tandfonline.com/doi/pdf/10.1080/00207170600621447  
  4. Wei, H. L., Billings, S. A., and Balikhin, M. A., “Wavelet based nonparametric NARX models for nonlinear input-output system identification”, International Journal of Systems Science, 37(15), pp.1089-1096, 2006.
    [PDF] http://www.tandfonline.com/doi/pdf/10.1080/00207170600621447 
    [PDF] http://www.tandfonline.com/doi/pdf/10.1080/00207720600903011
  5. 38.    Wei, H. L. and Billings, S. A., “An efficient nonlinear cardinal B-spline model for high tide forecasts at the Venice Lagoon”, Nonlinear Processes in Geophysics, 13(5), pp.577-584.   
    [PDF]  http://eprints.whiterose.ac.uk/1945  
    [PDF]  http://www.nonlin-processes-geophys.net/13/577/200

2005

  1. Billings, S. A. and Wei, H. L., “A new class of wavelet networks for nonlinear system identification”, IEEE Trans. Neural Networks, 16(4), pp. 862-874, 2005.
    [PDF]  http://eprints.whiterose.ac.uk/787/
  2. Billings S. A. and Wei H. L., “The wavelet-NARMAX representation: A hybrid model structure combining polynomial models with multiresolution wavelet decompositions”, International Journal of Systems Science, 36(3), pp. 137-152, 2005.
    [PDF]  http://dx.doi.org/10.1080/00207720512331338120
    [PDF]  http://eprints.whiterose.ac.uk/1972/

2004

  1. Wei, H. L., Billings, S. A., and Balikhin, M., “Prediction of the Dst index using multiresolution wavelet models”, J. Geophysical Research-Space Physics, 109(A7), Art. No. A07212, 2004.
    [PDF] http://www.agu.org/pubs/current/si/links/2003JA010332.pdf
  2. Wei, H. L., Billings, S. A., and Balikhin, M., “Analysis of the geomagnetic activity of the Dst index and self-affine fractals using wavelet transforms”, Nonlinear Processes in Geophysics, 11(3), pp. 303-312, 2004.
    [PDF] http://www.nonlin-processes-geophys.net/11/303/2004/npg-11-303-2004.pdf
  3. Wei, H. L., Billings, S. A., and Liu, J., “Term and variable selection for nonlinear system identification”, International Journal of Control, 77(1), pp.86-110, 2004.
    [PDF] http://www.tandfonline.com/doi/pdf/10.1080/00207170310001639640
  4. Wei, H. L. and Billings, S. A., “A unified wavelet-based modelling framework for nonlinear system identification: the WANARX model structure”, International Journal of Control, 77(4), pp.351-366, 2004.
    [PDF]  http://dx.doi.org/10.1080/0020717042000197622
    [PDF]  http://eprints.whiterose.ac.uk/1974/
  5. Wei, H. L. and Billings, S. A., “Identification and reconstruction of chaotic systems using multiresolution wavelet decompositions”, International Journal of Systems Science, 35(9), pp. 511-526, 2004.
    [PDF]  http://www.tandfonline.com/doi/pdf/10.1080/00207720412331285850

2002

  1. Wei, H. L. and Billings, S. A., “Identification of time-varying systems using multiresolution wavelet models”, International Journal of Systems Science, 33(15), pp. 1217-1228, 2002.
    [PDF] http://dx.doi.org/10.1080/0020772031000081982
    [PDF] http://eprints.whiterose.ac.uk/1973/