Professor Zhaojie Ju
Biography
I'm a Chair in Machine Learning and Robotics at the University of Portsmouth, Director of Healthcare and Wearable Robotics Research, and Chair of IEEE SMC Portsmouth Chapter. I received a BSc in automatic control and MSc in Intelligent Robotics both from Huazhong University of Science and Technology, China, and the Ph.D. degree in intelligent robotics at the University of Portsmouth, UK. I held research appointments previously in the Department of Computer Science, University College London (UCL) before joining the University of Portsmouth.
Research interests
- Machine Learning and Pattern Recognition
- Multimodal Human Motion Analysis
- Humanoid Robot Motion Learning and Planning
- Intelligent Human-Robot/Computer Interaction
- Healthcare and Wearable Robotics
I've been continuously supported by external funds such as Overseas Research Student Awards, EPSRC, HEIF4, JSPS, European FP7, European Interreg, European Horizon, Industry projects, and international funding bodies.
I'm an Associate Editor in
- IEEE Transactions on Cybernetics
- IEEE Transactions on Neural Networks and Learning Systems
- IEEE Transactions on Cognitive and Developmental Systems
- Neurocomputing
- International Journal of Fuzzy Systems
- Journal of Intelligent and Fuzzy Systems
- PeerJ Computer Science
- IEEE International Conference on Robotics and Automation.
IET Fellow, JSPS Fellow, IEEE Senior Member
More on my personal website.
Research outputs
2024
Attention mechanism and Bidirectional Long Short-Term Memory-Based real-time gaze tracking
Dai, L., Ju, Z., Liu, J.
21 Nov 2024, In: Electronics (Switzerland). 13, 23, 18p., 4599
Unsupervised method for detecting surface defects in steel based on joint optimisation of pseudo-labeling and clustering
Bai, D., Hao, Z., Jiang, D., Jiang, G., Ju, Z., Zhou, D.
1 Oct 2024, In: Measurement Science and Technology. 35, 10, 12p., 106131
Depth feature fusion based surface defect region identification method for steel plate manufacturing
Bai, D., Du, J., Hao, Z., Ju, Z., Li, G., Tao, B., Yun, J., Zhou, D.
1 May 2024, In: Computers and Electrical Engineering. 116, 16p., 109166
Lightweight UAV object-detection method based on efficient multidimensional global feature adaptive fusion and knowledge distillation
Gao, H., Ju, Z., Qi, X., Sun, J., Yan, Z., Yu, J.
19 Apr 2024, In: Electronics (Switzerland). 13, 8, 22p., 1558
Image super-resolution via dynamic network
Ju, Z., Tian, C., Yang, M., Zhang, Q., Zhang, X.
8 Apr 2024, In: CAAI Transactions on Intelligence Technology
Surface defect detection methods for industrial products with imbalanced samples: a review of progress in the 2020s
Bai, D., Jiang, D., Jiang, G., Ju, Z., Li, G., Sun, Y., Tao, B., Yun, J.
1 Apr 2024, In: Engineering Applications of Artificial Intelligence. 130, 24p., 107697
RTSformer: a robust toroidal transformer with spatiotemporal features for visual tracking
Cai, C., Gu, F., Ju, Z., Lu, J., Zhu, Q.
18 Mar 2024, In: IEEE Transactions on Human-Machine Systems, 12p.
Sharing-Net: lightweight feedforward network for skeleton-based action recognition based on information sharing mechanism
Gao, Q., Guo, Y., Ju, Z., Zhao, Y., Zhou, J.
1 Feb 2024, In: Pattern Recognition. 146, 11p., 110050
Fast object detection leveraging global feature fusion in boundary-aware convolutional networks
Fan, W., Ju, Z., Yu, J.
17 Jan 2024, In: Information (Switzerland). 15, 1, 18p., 53
2023
EANTrack: an efficient attention network for visual tracking
Cai, C., Gu, F., Ju, Z., Lu, J., Zhu, Q.
3 Oct 2023, In: IEEE Transactions on Automation Science and Engineering, 18p.