Hujun Yin
Scholar

Hujun Yin

Google Scholar ID: 9H98hd8AAAAJ
School of Electrical and Electronic Engineering, The University of Manchester
Neural networksimage processingface recognitiondimension reductiontime series
Citations & Impact
All-time
Citations
3,218
 
H-index
26
 
i10-index
67
 
Publications
20
 
Co-authors
20
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Winner of the IJCNN 2015 Time Series Prediction Competition (with Ouyang Yicun)
  • Chair of IDEAL 2019 international conference
  • Keynote/Plenary speaker at multiple international conferences (e.g., SOCO 2017/2018, HAIS 2013/2008, IEEE IST 2012, CBIC 2011)
  • Senior Member of IEEE (since 2003)
  • Turing Fellow
  • Vice Chair of IEEE CIS UK-Ireland Chapter (since Sept 2019)
  • Associate Editor of IEEE Transactions on Cybernetics (since 2015)
  • Associate Editor of IEEE Transactions on Neural Networks (2006–2010)
  • Editorial Board member of International Journal of Neural Systems (since 2005)
  • Guest Editor for several special journal issues
  • Member of EPSRC Peer Review College (since 2006)
Research Experience
  • Taught various courses on machine learning and image processing since 1998
  • DSP MSc Course Director (2017–2019)
  • MEng Team Project Tutor (2011–2017)
  • BEng Electronic Engineering Course Tutor (2000–2014)
  • FSE Head of Business Engagement in AI and Big Data (since 2019)
  • Partner of the UK ICA Research Network
  • Invited seminars at numerous universities, DTI Outreach Programme, EPSRC workshops, and Neural Computing Application Forum
Background
  • Professor of Artificial Intelligence, Department of Electrical and Electronic Engineering, The University of Manchester
  • Research interests include theories and applications of neural networks, self-organising networks, and deep learning
  • Image/video processing, enhancement, classification, and face recognition
  • Nonstationary signal processing, financial time series analysis and prediction
  • Pattern recognition, data dimensionality reduction, and manifold learning
  • Independent component analysis and blind deconvolution
  • Multidimensional data analytics and visualisation
  • Neuroinformatics and bioinformatics