Dr Yuhua Li

Lecturer in Computer Science

  • Newton Building Room 203
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Office Times

“Please contact me via email for an appointment”


I have conducted theoretical and applied research in machine learning, pattern recognition, data science, semantic similarity analysis and condition monitoring.  My most cited research paper has been cited about 900 times. My expertise in pattern recognition and machine learning includes statistical and geometrical methods and neural networks for feature/pattern selection and data analysis, knowledge discovery and inference. Most notably my contributions to machine learning and pattern recognition include the development of anomaly/novelty detection methods for safety-critical systems on which there is limited or no knowledge, and the study of informative observation selection techniques for sensors/measurements location optimization for problems such as effective monitoring and process control. My work in semantic similarity analysis is among the top cited publications in this area and has found real applications. I have led and carried out research projects funded by government and industry. I have obtained extensive experience in working with different sizes of national and international companies. My research has been applied to solve problems in digital manufacturing, plant monitoring, financial engineering, etc. I have been invited to give talks at universities and international conferences. I have served as a committee member for many international conferences.


I have taught a wide range of core modules in computing science at universities. Current teaching includes:

Data structures and algorithms

Formal development of software systems


Research Interests

Machine learning, pattern recognition, neural networks

Data Science, Big Data, predictive analytics

Data/text mining, signal processing

Anomaly/novelty detection, pattern selection, feature selection

Intelligent condition monitoring, predictive maintenance

Semantic similarity analysis, conversational agents

Qualifications and Memberships

PhD General Engineering, University of Leicester

Senior member, IEEE

Fellow, Higher Education Academy


  • Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, and Liam P. Maguire (in press) “DL-ReSuMe: A delay learning based remote supervised method for spiking neurons,” IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2015.2404938.
  • Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam Maguire (2015)
    "Novelty detection using level set methods,"
    IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 3, pp. 576 – 588.
  • Yi Cao, Yuhua Li, Sonya Coleman, Ammar Belatreche, Martin McGinnity  (2015)
    "Adaptive hidden Markov model with anomaly states for price manipulation detection,"
    IEEE Transactions on Neural Networks and Learning Systems, vol.26, no.2, pp. 318 – 330.
  • Haider Raza, Girijesh Prasad, Yuhua Li (2015)
    "EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments,"
    Pattern Recognition, vol.48, no.3, pp. 659–669.
  • Yuhua Li, Liam Maguire (2011)
    "Selecting critical patterns based on local geometrical and statistical information,"
    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 6, pp. 1189-1201.
  • Yuhua Li, (2011)
    “Selecting training points for one-class support vector machines,”
    Pattern Recognition Letters, vol. 32, no.11, pp. 1517-1522.
  • Kui Zhang, Yuhua Li, Phillip Scarf, Andrew Ball (2011)
    "Feature selection for high-dimensional machinery fault diagnosis data using multiple models and radial basis function networks,"
    Neurocomputing, vol. 74, no. 17, pp. 2941-2952.
  • Yuhua Li, David McLean, Zuhair Bandar, James O'Shea, Keeley Crokett (2006)
    “Sentence similarity using semantic nets and corpus statistics,”
    IEEE Transactions on Knowledge and Data Engineering, vol. 18, no. 8, pp. 1138-1150.
  • Yuhua Li, Fengshou Gu, Georgina Harris, Andrew Ball, Nick Bennett, Ken Travis (2005)
    “The measurement of instantaneous angular speed,”
    Mechanical Systems and Signal Processing, vol. 19, no. 4, pp. 786-805.
  • Yuhua Li, Zuhair Bandar, David McLean (2003)
    “An approach for measuring semantic similarity using multiple information sources,”
    IEEE Transactions on Knowledge and Data Engineering, vol. 15, no.4, pp. 871-882. 
  • Yuhua Li, Michael Pont, Barrie Jones (2002)
    “Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where ‘unknown’ faults may occur,”
    Pattern Recognition Letters, vol.23, no.5, pp. 569-577.