The University of Sheffield, UK

Professor of Pervasive Intelligence

Email: [email protected]

2004   B.S., Wuhan University, Computer Science

Publications (selected)

1. Yang, P., Qi, J., Zhang, S., et al. (2025). Multimodal Wearable Intelligence for Dementia Care in Healthcare 4.0: a Survey. Information Systems Frontiers, 27(1), 197-214.
2. Li, S. B., Yuan, Z. P., Peng, R. L., et al. (2024). An effective farmer-centred mobile intelligence solution using lightweight deep learning for integrated wheat pest management. Journal of Industrial Information Integration, 42, 100705.
3. Zhou, M. H., Wang, X. L., Liu, T., et al. (2024). Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. IEEE Transactions on Knowledge and Data Engineering, 36(10), 5206-5220.
4. Liu, T., Wang, X. L., Yang, P., et al. (2024). Unsupervised Transfer Aided Lifelong Regression for Learning New Tasks Without Target Output. IEEE Transactions on Knowledge and Data Engineering, 36(9), 4981-4995.
5. Chang, X. C., Zhou, M. H., Wang, X. L., et al. (2024). Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge. Knowledge-Based Systems, 301, 112187.
6. Nan, F. T., Li, S. B., Wang, J. Y., et al. (2024). A Multi-Classification Accessment Framework for Reproducible Evaluation of Multimodal Learning in Alzheimer's Disease. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 21(4), 559-572.
7. Kang, Y., Pu, B., Kou, Y. Q., et al. (2024). A Deep Graph Network with Multiple Similarity for User Clustering in Human-Computer Interaction. ACM Transactions on Multimedia Computing Communications and Applications, 20(2), 46.
8. Liu, K., Yang, P., Jiao, L., et al. (2024). Observer-Based Adaptive Finite-Time Neural Control for Constrained Nonlinear Systems With Actuator Saturation Compensation. IEEE Transactions on Instrumentation and Measurement, 73, 7502516.
9. Liu, T., Chen, S., Yang, P., et al. (2024). Lifelong Learning Meets Dynamic Processes: An Emerging Streaming Process Prediction Framework With Delayed Process Output Measurement. IEEE Transactions on Control Systems Technology, 32(2), 384-398.
10. Liu, K., Yang, P., Wang, R. J., et al. (2023). Observer-Based Adaptive Fuzzy Finite-Time Attitude Control for Quadrotor UAVs. IEEE Transactions on Aerospace and Electronic Systems, 59(6), 8637-8654.
11. Zhang, Y., Wang, X. L., Liu, T., et al. (2023). Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data. Journal of Industrial Information Integration, 34, 100461.
12. Zhou, M. H., Zhang, Y., Liu, T., et al. (2023). Efficient multi-task learning with adaptive temporal structure for progression prediction. Neural Computing & Applications, 35(22), 16305-16320.
13. Liu, T., Chen, S., Yang, P., et al. (2023). Efficient adaptive deep gradient RBF network for multi-output nonlinear and nonstationary industrial processes. Journal of Process Control, 126, 1-11.
14. Zhang, S. H., Bi, G. S., Qi, J., et al. (2023). Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. IEEE Internet of Things Journal, 10(8), 6742-6755.
15. Zhang, Y., Liu, T., Lanfranchi, V., et al. (2023). Explainable Tensor Multi-Task Ensemble Learning Based on Brain Structure Variation for Alzheimer's Disease Dynamic Prediction. IEEE Journal of Translational Engineering in Health and Medicine, 11, 1-12.
16. Ople, J. J. M., Chen, S. F., Chen, Y. Y., et al. (2023). Controllable Model Compression for Roadside Camera Depth Estimation. IEEE Transactions on Intelligent Transportation Systems, 24(12), 15478-15485.
17. Yang, P., Yang, C. M., Lanfranchi, V., et al. (2022). Activity Graph Based Convolutional Neural Network for Human Activity Recognition Using Acceleration and Gyroscope Data. IEEE Transactions on Industrial Informatics, 18(10), 6619-6630.
18. Tang, Z. Z., Wu, W. Y., Gao, J. L., et al. (2022). Improving Water Pressure Measurement Using Temperature-Compensated Wireless Passive SAW Bidirectional RDL Pressure Sensor. IEEE Transactions on Instrumentation and Measurement, 71, 9505111.
19. Cheema, M. N., Nazir, A., Yang, P., et al. (2021). Modified GAN-CAED to Minimize Risk of Unintentional Liver Major Vessels Cutting by Controlled Segmentation Using CTA/SPET-CT. IEEE Transactions on Industrial Informatics, 17(12), 7991-8002.
20. Liu, L., Xie, C. J., Wang, R. J., et al. (2021). Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features. IEEE Transactions on Industrial Informatics, 17(11), 7589-7598.
21. Ali, R., Sheng, B., Li, P., et al. (2021). Optic Disk and Cup Segmentation Through Fuzzy Broad Learning System for Glaucoma Screening. IEEE Transactions on Industrial Informatics, 17(4), 2476-2487.
22. Koh, S., Zhou, B., Fang, H., et al. (2020). Real-time deep reinforcement learning based vehicle navigation. Applied Soft Computing, 96, 106694.
23. Ali, S. G., Chen, Y., Sheng, B., et al. (2021). Cost-effective broad learning-based ultrasound biomicroscopy with 3D reconstruction for ocular anterior segmentation. Multimedia Tools and Applications, 80(28), 35105-35122.
24. Yang, P., Qi, J., Zhang, S. H., et al. (2020). Feasibility study of mitigation and suppression strategies for controlling COVID-19 outbreaks in London and Wuhan. PLOS ONE, 15(8), e0236857.
25. Meng, X., Li, Z., Wang, S., et al. (2020). A video information driven football recommendation system. Computers & Electrical Engineering, 85, 106699.

Profile Details

https://sheffield.ac.uk/cs/people/academic/po-yang
https://scholar.google.com/citations?user=RdK3cwgAAAAJ&hl=en
https://www.researchgate.net/profile/Po-Yang

WOS ResearcherID: C-9936-2011