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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.

Qualifications

Computing Science PhD

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks, Tan, T., Zhang, L., Lim, C. 25 Jun 2019, In: Knowledge-Based Systems
  • 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
  • Deep Learning based Pedestrian Detection at Distance in Smart Cities, Dinakaran, R., Easom, P., Bouridane, A., Zhang, L., Jiang, R., Mehboob, F., Rauf, A. 16 May 2019, Intelligent Systems Conference
  • 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

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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