Self-funded PhD Positions Available

Biomedical Engineering with Deep Learning based Video Analysis
Computer Vision with Deep Learning for Human Data Modelling
Deep Learning based Computer Graphics for Creating Virtual Characters

Dr
Jie Li

Northumbria University
PhD (Co-supervised with Prof. Longzhi Yang)
, 2015 - 2018

Northumbria University
, United Kingdom
  • Research topic: Fuzzy interpolation systems with knowledge extraction and adaptation
  • Funded by Northumbria University
  • Became a Lecturer at Teesside University

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Funding Participated

Publications with the Team

Machine Learning Algorithms for Network Intrusion Detection
Machine Learning Algorithms for Network Intrusion Detection Citation: 22##
Book Chapter: AI in Cybersecurity, 2019
Jie Li, Yanpeng Qu, Fei Chao, Hubert P. H. Shum, Edmond S. L. Ho and Longzhi Yang
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Experience-based Rule Base Generation and Adaptation for Fuzzy Interpolation
Experience-based Rule Base Generation and Adaptation for Fuzzy Interpolation Citation: 20## IEEE CIS Outstanding Student-Paper Travel Grants
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016
Jie Li, Hubert P. H. Shum, Xin Fu, Graham Sexton and Longzhi Yang
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Towards Sparse Rule Base Generation for Fuzzy Rule Interpolation
Towards Sparse Rule Base Generation for Fuzzy Rule Interpolation Citation: 27## IEEE CIS Outstanding Student-Paper Travel Grants
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016
Yao Tan, Jie Li, Martin Wonders, Fei Chao, Hubert P. H. Shum and Longzhi Yang
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TSK Inference with Sparse Rule Bases
TSK Inference with Sparse Rule Bases Citation: 23## Best Paper Award
Proceedings of the 2016 UK Workshop on Computational Intelligence (UKCI), 2016
Jie Li, Yanpeng Qu, Hubert P. H. Shum and Longzhi Yang
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Intelligent Home Heating Controller Using Fuzzy Rule Interpolation
Intelligent Home Heating Controller Using Fuzzy Rule Interpolation Citation: 16##
Proceedings of the 2015 UK Workshop on Computational Intelligence (UKCI), 2015
Jie Li, Longzhi Yang, Hubert P. H. Shum, Graham Sexton and Yao Tan
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