Biography

 

Website: http://www.cmp.uea.ac.uk/~wjw/

Follow this link for details of current PhD opportunities in Computing Sciences. But feel free to email me to discuss projects outside these areas and alternative sources of funding.

Career History

Dr. Wang joined the School of Computing Sciences (CMP), UEA, as a senior lecturer in September 2002. He and his PhD students conduct research in the areas of data mining/knowledge discovery, ensemble approach and artificial intelligence. He welcomes and encourages any potentials to contact him to discuss possible research topics.

He has been the Director of MSc in Computer Science since 2003 and the organiser for Masters Dissertation projects, and admissions officer for Overseas applications.

Academic Background

Dr Wang received his BEng (1982) and MEng (1985) degrees from NEU (NorthEastern University, China) in Automatic Control Engineering, and PhD degree in Advanced Computing in 1996 from the University of Manchester Institute of Science and Technology(UMIST), UK.

Highlighted Publications

See All

Harrison, R., Birchall, R., Mann, D., Wang, W.

(2011)

A Novel Ensemble of Distance Measures for Feature Evaluation: Application to Sonar Imagery,

in Intelligent Data Engineering and Automated Learning - IDEAL 2011.

Springer

pp. 327-336

UEA Repository

(Chapter)

(Published)


Wang, W.

(2008)

Some fundimental issues in ensemble methods,

UEA Repository

(Paper)

(Published)


All Publications

See Highlights
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Qi, X., Wang, W., Dong, H., Liang, Y., Dong, C., Ly, H.

(2017)

Expression and X-Ray Structural Determination of the Nucleoprotein of Lassa Fever Virus,

in Hemorrhagic Fever Viruses : Methods and Protocols.

Humana Press

pp. 179-188

ISBN 978-1-4939-6980-7

Full Text UEA Repository

(Chapter)

(Published)


Aldehim, G., Wang, W.

(2017)

Determining appropriate approaches for using data in feature selection,

in International Journal of Machine Learning and Cybernetics

8

(3)

pp. 915–928

Full Text UEA Repository

(Article)

(Published)


Ballard, C., Wang, W.

(2016)

Dynamic ensemble selection methods for heterogeneous data mining,

in 12th World Congress on Intelligent Control and Automation (WCICA), 2016.

IEEE Press

ISBN 978-1-4673-8415-5

Full Text

(Conference contribution)

(Published)


Alyahyan, S., Farrash, M., Wang, W.

(2016)

Heterogeneous Ensemble for Imaginary Scene Classification,

in Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR.

pp. 197-204

ISBN 978-989-758-203-5

Full Text

(Conference contribution)

(Published)


Mace, A., Wang, W.

(2015)

Modelling the role of catastrophe, crossover and Katanin in the self organisation of cortical microtubules,

in IET Systems Biology

9

(6)

pp. 277-284

Full Text UEA Repository

(Article)

(Published)


Aldehim, G., Wang, W.

(2015)

Weighted Heuristic Ensemble of Filters,

UEA Repository

(Paper)

(Published)


Zhang, L., Fisher, M., Wang, W.

(2015)

Retinal vessel segmentation using multi-scale textons derived from keypoints,

in Computerized Medical Imaging and Graphics

45

pp. 47-56

Full Text UEA Repository

(Article)

(Published)


Alqurashi, T., Wang, W.

(2015)

A New Consensus Function based on Dual-Similarity Measurements for Clustering Ensemble,

UEA Repository

(Paper)

(Published)


Farrash, M., Wang, W.

(2015)

An Algorithm for Identifying the Learning Patterns in Big Data,

UEA Repository

(Paper)

(Published)


Zhang, L., Fisher, M., Wang, W.

(2015)

Comparative performance of Texton based vascular tree segmentation in retinal images,

in 2014 IEEE International Conference on Image Processing (ICIP).

IEEE Press

pp. 952-956

Full Text

(Conference contribution)

(Published)


Wang, M., Wang, W., Abeywardane, A., Mijovic, A.

(2015)

Autoimmune hemolytic anemia after allogeneic hematopoietic stem cell transplantation: Analysis of 533 adult patients who underwent transplantation at King’s College Hospital,

in Biology of Blood and Marrow Transplantation

21

(1)

pp. 60-66

Full Text UEA Repository

(Article)

(Published)


Mojahed, A., Bettencourt-Silva, J. H., Wang, W., de la Iglesia, B.

(2015)

Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF),

in Machine Learning and Data Mining in Pattern Recognition : 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings.

Springer International Publishing

pp. 251-265

ISBN 978-3-319-21023-0

Full Text

(Other chapter contribution)

(Published)


Aldehim, G., Wang, W.

(2014)

Reliability and Effectiveness of Cross-validation in Feature Selection,

UEA Repository

(Paper)

(Published)


Alqurashi, T., Wang, W.

(2014)

Object-Neighbourhood based Clustering Ensemble Method,

UEA Repository

(Paper)

(Published)


Alqurashi, T., Wang, W.

(2014)

A Graph based Methodology for Web Structure Mining: with a Case Study on the Webs of UK Universities,

UEA Repository

(Paper)

(Published)


Aldehim, G., De La Iglesia, B., Wang, W.

(2014)

Heuristic Ensemble of Filters for Reliable Feature Selection,

UEA Repository

(Paper)

(Published)


Zhang, L., Fisher, M., Wang, W.

(2014)

Retinal vessel segmentation using Gabor Filter and Textons,

UEA Repository

(Paper)

(Published)


Wang, W., Farrash, M.

(2013)

How data partitioning strategies influence the performance of ensemble in big data mining?,

UEA Repository

(Paper)

(Published)


Al Shaqsi1, J., Wang, W.

(2013)

Estimating the predominant number of clusters in a dataset,

in Intelligent Data Analysis

17

(4)

pp. 603-626

Full Text UEA Repository

(Article)

(Published)


Zhang, L., Fisher, M., Wang, W.

(2013)

Locating blood vessels in retinal images using unified Textons,

UEA Repository

(Paper)

(Published)


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Key Research Interests

ueaeprints.uea.ac.uk/view/creators/wjw.html

Wenjia Wang is part of the Machine learning and statistics group

Dr Wang has been doing research in the areas of AI, Knowledge Discovery, Data Mining and Operational Research for many years. He holds the memberships of IEEE, IEEE Neural Networks Society and IEEE Computer Science Society.

His currents research interests include

  • Artificial neural networks
  • Decision tree induction
  • Bayesian theory
  • Evolutionary computing  and Genetic Algorithm
  • Machine learning ensemble methodology
    • Generic ensemble: topology, diversity, and decision fusion strategies   
    • Classification ensemble
    • Clustering ensemble
    • Feature selection ensemble  
  • Feature Salince Estimation and Feature Selection
  • Data/text mining applications
    • Heathcare and medical areas
    • Bioinformatics
    • Finance and insurance
    • Security and crime data
    • Spam Email classification
    • Other areas  

Past Research Grants

  • EPSRC Grant: "Hybrid Artificial Intelligence Ensemble for Early Detection of Osteoposis
    • PI: Dr. Wenjia Wang - Principal Investigator(PI);
    • Team: Dr. Sarah Rae - Co-Investigator(CI), Rhumotology Consultant with Bedford Hospital; and Dr. Greame Richards (Research Fellow)
  • ESRC Grant: "Identifying Relevant Factors and discovering Complex Patterns in Fuel Poverty"
    • PI: Dr. Wenjia Wang(PI),
    • Team: Professor Catherine Waddams (School of Management, UEA), Dr. Karl Brazier (Research Fellow)
  • EPSRC Grant: "Feature Salience Identification and Methodological Diversity for Improved Prediction"
    • PI: Dr. Wenjia Wang(PI),
    • Team: Professor Derek Partridge (CI, Exeter University), Dr. Karl Brazier (Research Fellow), and Dr. John Etherington (Defence Service Medical Rehibilitation Centre)
                

Teaching Interests

Dr. Wang teaches a variety of units to both undergraduate and postgratuate courses, including

  • Artificial Intelligence,
  • Internet Technology, 
  • Programming (Java) and Applications,
  • Research Techniques,
  • Research Methods,
  • Data Mining. 

He is the organiser of MSc Dissertation unit and Research Techniques/Methods units.

Key Responsibilities

Deputy Director of Postgraduate Research

Director of MSc Computer Science

Admissions Officer for Overseas Applications