Professor Po Yang

简介

Professor Po Yang is Professor of Pervasive Intelligence in the School of Computer Science at the University of Sheffield, where he also serves as Deputy Director of Research and Innovation. He obtained his BSc (Hons) in Computer Science from Wuhan University, China, an MSc in Computer Science from the University of Bristol, and a PhD in Electronic Engineering from Staffordshire University. Since 2015, Professor Yang has established and led successful research teams at Liverpool John Moores University (2015–2019) and subsequently at the University of Sheffield (2019–present). He also serves as an Independent Scientific Advisor for the BridgeAI programme at the Alan Turing Institute.Professor Yang has extensive research expertise in pervasive and mobile intelligence, conducting interdiscipl

代表成果

• Eigenbrode SD & Rashed A (2022) Advances in Understanding Insect Pests Affecting Wheat and Other Cereals.
• Yang Y, Huang C, Wang X, Zhou M, Qi J & Yang P (2026) Cycle-Aware Masked Self-Supervised Learning for Parkinson's Disease Diagnosis Using Wearable Time-Series Data in Daily Activities. IEEE Transactions on Biomedical Engineering, 1-13.
• Wang X, Liu T, Zhou M, Zhang Y, Yuan Z, Liu K & Yang P (2026) Adapting to dissimilar tasks for continual learning via gradient norm regularisation. Neurocomputing. View this article in WRRO
• Boyle G, Forner-Cordero A, Kalra A, Kremen V, Ponsiglione AM, Ranji M, Sinha S, Tang X, Yang P & Reilly RB (2026) The Need for Demonstrated Clinical Translational Evidence in Submissions to the IEEE Journal of Translational Engineering in Health and Medicine. IEEE Journal of Translational Engineering in Health and Medicine, 14, vi-xi.
• Zheng Y, Qi J, Yang Y, Yang P & Yuan Z (2025) Aphid-YOLO: A lightweight detection model for real-time identification and counting of aphids in complex field environments. IEEE Transactions on AgriFood Electronics. View this article in WRRO
• Wang X, Zhang Y, Liu T, Yuan Z, Liu K, Lanfranchi V & Yang P (2025) SPOT: An efficient training-free task similarity quantification method for continual learning. Pattern Recognition Letters. View this article in WRRO
• Yuan Z, Liu K, Li S, Peng R, Leybourne D, Musa N & Yang P (2025) PEZEGO: A precision agriculture system based on large language models and internet of things for pest management. IEEE Internet of Things Journal. View this article in WRRO
• Chen Z, Wang M, Nan F, Yang Y, Li S, Zhou M, Qi J, Wang H & Yang P (2025) Joint image synthesis and fusion with converted features for Alzheimer's disease diagnosis. Engineering Applications of Artificial Intelligence, 156(Part B). View this article in WRRO
• Li S, Liu K & Yang P (2025) An interpretable deep learning approach for Alzheimer's disease diagnosis using gene expression data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. View this article in WRRO
• Brennaf M, Yang P & Lanfranchi V (2025) Secured cost-effective anonymous federated learning with proxied privacy enhancement for personal devices. IEEE Internet of Things Journal. View this article in WRRO