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Dr Yuhua Li

Senior Lecturer

School of Computer Science and Informatics

Available for postgraduate supervision

I have conducted fundamental and applied research in machine learning, pattern recognition, data science, semantic similarity analysis and condition monitoring. My top cited original research paper has been cited more than 1000 times.

My experience in machine learning and pattern recognition includes statistical and geometrical methods and neural networks for feature/pattern selection and data analysis, knowledge discovery and inference. 

My contribution to machine learning includes the development of anomaly/novelty detection methods for safety-critical systems which have limited or no data/knowledge on rare events, 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 been adopted in real systems.

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, condition monitoring, financial engineering, etc.

My research interests include:

  • Machine learning, pattern recognition
  • Novelty detection, anomaly detection
  • Data science, Big Data, text mining
  • Neural networks, deep learning
  • Condition monitoring and signal processing
  • Machine learning and AI applications, e.g., cyber secuirity, finance, manufacturing

Selected publications (more publications on Google Scholar). 

  • Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam Maguire (2018)
    "A supervised learning algorithm for learning precise timing of multiple spikes in multilayer spiking neural networks," 
    IEEE Transactions on Neural Networks and Learning Systems. DOI

  • Yi Cao, Yuhua Li, Sonya Coleman, Ammar Belatreche, Martin McGinnity (2016)
    "Detecting wash trade in financial market using digraphs and dynamic programming," 
    IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 11, pp. 2351-2363. DOI 

  • Junxiu Liu, Jim Harkin, Yuhua Li, Liam Maguire (2016)
    "Fault tolerant networks-on-chip routing with coarse and fine-grained look-ahead" 
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 35, no. 2, pp. 260-273. DOI 

  • Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam Maguire (2015)
    "DL-ReSuMe: A delay learning based remote supervised method for spiking neurons," 
    IEEE Transactions on Neural Networks and Learning Systems , vol.26, no.12, pp. 3137- 3149. DOI 

  • 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. DOI 

  • Yi Cao, Yuhua Li, Sonya Coleman, Ammar Belatreche, Martin McGinnity (2015)
    "Adaptive hidden Markov model with abnormal states for price manipulation detection," 
    IEEE Transactions on Neural Networks and Learning Systems, vol.26, no.2, pp. 318-330. DOI

  • 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. DOI

  • 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. DOI 

  • Yuhua Li (2011)
    "Selecting training points for one-class support vector machines," 
    Pattern Recognition Letters, vol. 32, no. 11, pp. 1517-1522. DOI 

  • Yuhua Li, David McLean, Zuhair Bandar, James O'Shea, Keeley Crockett. (2006)
    "Sentence similarity using semantic nets and corpus statistics," 
    IEEE Transactions on Knowledge and Data Engineering, vol. 18, no. 8, pp. 1138-1150. DOI 

  • 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. DOI 

  • 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. DOI 

I am interested in supervising PhD students in the areas of:

  • Machine learning, pattern recognition
  • Data science, Big Data, text mining
  • Neural networks, deep learning
  • Machine learning and AI applications, e.g., cyber secuirity, finance and engineering