Yu Zhang
Affiliations:- University of Sheffield, Department of Computer Science, UK
According to our database1,
Yu Zhang
authored at least 20 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
KG-FGNN: Knowledge-guided GNN Foundation Model for Fertilisation-oriented Soil GHG Flux Prediction.
CoRR, June, 2025
Exploring the Feasibility of Deep Learning Models for Long-term Disease Prediction: A Case Study for Wheat Yellow Rust in England.
CoRR, January, 2025
TMTCIL-st: Spatio-Temporal Tensor Multi-Task Continuous Incremental Learning for Multi-Fertiliser Management.
Proceedings of the IEEE International Conference on Industrial Technology, 2025
2024
ParallelFarm: An AI-Enabled Sustainable Farming Management System for Carbon Neutrality.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024
Learning Interpretable Continuous Representation for Alzheimer's Disease Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Adaptive Multi-Cognitive Objective Temporal Task Approach for Predicting AD Progression.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Corrigendum to 'Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data': [Journal of Industrial Informatic Integration, Vol 34, August (2023) start page-end page].
J. Ind. Inf. Integr., October, 2023
Efficient multi-task learning with adaptive temporal structure for progression prediction.
Neural Comput. Appl., August, 2023
Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data.
J. Ind. Inf. Integr., August, 2023
Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Spatio-temporal Tensor Multi-Task Learning for Precision Fertilisation with Real-world Agricultural Data.
Proceedings of the IECON 2022, 2022
Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Modeling Alzheimer's Disease Progression via Amalgamated Magnitude-Direction Brain Structure Variation Quantification and Tensor Multi-task Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021
Tensor Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI data with Spatio-temporal Similarity Measurement.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021
2020
Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020