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Dr Li Zhang

Associate Professor

Department: Computer and Information Sciences

EE Lizhang Staffprofile 255

I am an Associate Professor & Reader in the Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment.

I co-lead the Affective and Smart Computing Research Group with Prof Rebecca Strachan, which focuses on a wide range of machine learning, computer vision, medical imaging and data mining challenges and problems. Currently, I am also an Honorary Research Fellow in the School of Computer Science, University of Birmingham. Before this, I worked as a Senior Lecturer in Northumbria University, a Senior Lecturer in Teesside University, and a postdoctoral Research Fellow in the University of Birmingham. I received a Ph.D. degree from the School of Computer Science, at the University of Birmingham.


Computing Science PhD December 09 2004

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • Comparing the Performance of Random Forest, SVM and Their Variants for ECG Quality Assessment Combined with Nonlinear Features, Zhang, Y., Wei, S., Zhang, L., Liu, C. 1 Jun 2019, In: Journal of Medical and Biological Engineering
  • Network Representation Learning Enhanced Recommendation Algorithm, Wang, Q., Yu, Y., Gao, H., Zhang, L., Cao, Y., Mao, L., Dou, K., Ni, W. 10 May 2019, In: IEEE Access
  • Advancing Ensemble Learning Performance through data transformation and classifiers fusion in granular computing context, Liu, H., Zhang, L. 20 Apr 2019, In: Expert Systems with Applications
  • Evolving Ensemble Models for Image Segmentation Using Enhanced Particle Swarm Optimization, Tan, T., Zhang, L., Lim, C., Fielding, B., Yu, Y., Anderson, E. 29 Mar 2019, In: IEEE Access
  • A Hierarchical and Regional Deep Learning Architecture for Image Description Generation, Kinghorn, P., Zhang, L., Shao, L. 1 Mar 2019, In: Pattern Recognition Letters
  • Application of an evolutionary algorithm-based ensemble model to job-shop scheduling, Tan, C., Neoh, S., Lim, C., Hanoun, S., Wong, W., Loo, C., Zhang, L., Nahavandi, S. 1 Feb 2019, In: Journal of Intelligent Manufacturing
  • Intelligent Facial Expression Recognition Using Particle Swarm Optimization Based Feature Selection, Robson, A., Zhang, L. 31 Jan 2019, 2018 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE
  • Neural Personalized Ranking via Poisson Factor Model for Item Recommendation, Yu, Y., Zhang, L., Wang, C., Gao, R., Zhao, W., Jiang, J. 3 Jan 2019, In: Complexity
  • Multi-Population Differential Evolution for Retinal Blood Vessel Segmentation, Mistry, K., Issac, B., Jacob, S., Jasekar, J., Zhang, L. 20 Dec 2018, 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE
  • Evolving Image Classification Architectures with Enhanced Particle Swarm Optimisation, Fielding, B., Zhang, L. 13 Nov 2018, In: IEEE Access

PGR Supervision

  • Ranjith Dinakaran Deep Target Detection from Visual Surveillance in Smart Cites Start: 11/03/2019
  • Benjamin Fielding Start: 01/10/2015
  • Tom Lawrence Start: 01/10/2018
  • Hailun Xie Start: 08/06/2018
  • Philip Kinghorn Deep Learning-based Regional Image Caption Generation with Refined Descriptions Start: 01/10/2014
  • Teck Tan Intelligent Skin Cancer Detection Using Enhanced Particle Swarm Optimization Start: 29/05/2014
  • Adam Robson Intelligent Facial Expression Recognition Using Particle Swarm Optimization based Feature Selection Start: 30/11/2012
  • Diptangshu Pandit Intelligent ECG Processing and Abnormality Detection using Adaptive Ensemble Models Start: 10/04/2014
  • Worawut Srisukkham An Intelligent Decision Support System for Acute Lymphoblastic Leukaemia Detection Start: 09/12/2014
  • YUMING SHEN Start: 23/12/2016

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