Dr Hua-Liang Wei
Lecturer

Address:
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:

• Dynamical Modelling, Data Mining and Decision Making (3DM)
• Digital Medicine & Computational Neuroscience (DMCN)

Research Interests

• Identification and modelling for complex nonlinear systems
  
  • NARMAX methodology and applications.
  • Artificial neural networks (ANN), radial basis function networks (RBFN), wavelet neural networks and multiresolution wavelet models, computational statistics, machine learning, intelligent computation and data mining.
  • Regression analysis, parameter estimation and optimization, sparse representation.
  • Nonlinear and nonstationary (time-varying) signal processing, system identification and data modelling.
  • Spatio-temporal system identification and modelling.
• Bioscience signal processing and data modelling
  
  • Neurophysiology and neuro-imaging data modelling and analysis.
  • EEG, fMRI and ECG data processing, modelling and analysis.
  • Data based classification, pattern recognition, anomaly detection, with applications in clinical and medical diagnosis and prognosis.
• Forecasting and analysis of complex stochastic dynamical processes with applications in
  
  • Space weather systems.
  • Environmental systems.
  • Computational economics and finance.
• New concepts and methodologies developments for the identification and analysis of nonlinear complex systems.
• Applications and developments of signal processing, system identification and data modelling to control engineering, bioengineering, neuroscience, systems/synthetic biology, environments, space weather and other emerging areas.

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

• Chair, Programme Committee - ICNC’10 (the 6th International Conference on Natural Computation 2010), Yantai, China, August 10-12, 2010.
• Programme Committee member for a number of international conferences.
• Reviewer for many international journals.
• Reviewer for many international conferences.

Teaching

• Data Modelling and Analysis (UG)
• Optimisation and Search (MEng)
• Optimisation and Search (MSc)
• Nonlinear Systems (MEng)
• Advanced Controller Design (MEng)
• State-Space, Optimal Control and Nonlinear Systems (MSc)

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

8. 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
9. 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  
10. 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

11. 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
12. 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
13. 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/
14. 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
15. 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

16. 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
17. 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
18. 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

19. 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
20. 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
21. 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
22. 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   
23. 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

24. 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   
25. 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.pdf 
26. 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 
27. 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

28. 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
29. 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
30. 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
31. 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    
32. 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
33. 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

34. 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
35. 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 
36. 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  
37. 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
38. 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

39. 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/
40. 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

41. 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
42. 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
43. 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
44. 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/
45. 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

46. 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/