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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. 1 Jan 2020, In: Knowledge-Based Systems
  • Deep Learning based Pedestrian Detection at Distance in Smart Cities, Dinakaran, R., Easom, P., Bouridane, A., Zhang, L., Jiang, R., Mehboob, F., Rauf, A. 2020, Intelligent Systems and Applications: Proceedings of the 2019 Intelligent Systems Conference (IntelliSys). Volume 2, Cham, Springer
  • Intelligent optic disc segmentation using improved particle swarm optimization and evolving ensemble models, Zhang, L., Lim, C. 1 Jul 2020, In: Applied Soft Computing
  • Advancing Ensemble Learning Performance through data transformation and classifiers fusion in granular computing context, Liu, H., Zhang, L. 1 Oct 2019, In: Expert Systems with Applications
  • 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
  • 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
  • Complex Deep Learning and Evolutionary Computing Models in Computer Vision, Zhang, L., Lim, C., Han, J. 1 Jul 2019, In: Complexity
  • Distant Pedestrian Detection in the Wild using Single Shot Detector with Deep Convolutional Generative Adversarial Networks, Dinakaran, R., Easom, P., Zhang, L., Bouridane, A., Jiang, R., Edirisinghe, E. 14 Jul 2019

PGR Supervision

  • Benjamin Fielding Evolving and Ensembling Swarms Of Deep Neural Architectures For Computer Vision Start: 01/10/2015
  • Adam Robson Start: 01/10/2019
  • Ranjith Dinakaran Deep Target Detection from Visual Surveillance in Smart Cites Start: 11/03/2019
  • Jess Tindall Start: 01/10/2019
  • Jess Tindall Start: 01/10/2019
  • Tom Lawrence Start: 01/10/2018
  • Hailun Xie Start: 08/06/2018
  • Samuel Slade Start: 01/10/2019
  • 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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