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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 December 09 2004

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • 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
  • 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
  • Intelligent Skin Cancer Detection Using Enhanced Particle Swarm Optimization, Tan, T., Zhang, L., Neoh, S., Lim, C. 15 Oct 2018, In: Knowledge-Based Systems
  • Cross-domain image description generation using transfer learning, Kinghorn, P., Zhang, L. Oct 2018, Data Science and Knowledge Engineering for Sensing Decision Support, Northern Ireland, UK
  • A Scattering and Repulsive Swarm Intelligence Algorithm for Solving Global Optimization Problems, Pandit, D., Zhang, L., Chattopadhyay, S., Lim, C., Liu, C. 15 Sep 2018, In: Knowledge-Based Systems
  • Combining convolutional neural network and distance distribution matrix for identification of congestive heart failure, Li, Y., Zhang, Y., Zhao, L., Zhang, Y., Liu, C., Zhang, L., Zhang, ., Li, ., Wang, ., Ng, ., Li, ., He, Z. 12 Jul 2018, In: IEEE Access

PGR Supervision

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


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