Yu Zhang

According to our database, Yu Zhang authored at least 14 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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].

Yu Zhang, Xulong Wang, Tong Liu, Rujing Wang, Yang Li, Qing Xue, Po Yang

J. Ind. Inf. Integr., October, 2023

Efficient multi-task learning with adaptive temporal structure for progression prediction.

Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang

Neural Comput. Appl., August, 2023

Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data.

Yu Zhang, Xulong Wang, Tong Liu, Ruijing Wang, Yang Li, Qing Xue, Po Yang

J. Ind. Inf. Integr., August, 2023

Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction.

Menghui Zhou, Tong Liu, Xulong Wang, Kang Liu, Yu Zhang, Po Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression.

Xulong Wang, Menghui Zhou, Yu Zhang, Kang Liu, Jun Qi, Po Yang

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.

Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Robust Temporal Smoothness in Multi-Task Learning.

Menghui Zhou, Yu Zhang, Yun Yang, Tong Liu, Po Yang

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.

Yu Zhang, Tong Liu, Yang Li, Ruijing Wang, He Huang, Po Yang

Proceedings of the IECON 2022, 2022

Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study.

Yu Zhang, Menghui Zhou, Tong Liu, Vitaveska Lanfranchi, Po Yang

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.

Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang

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.

Yu Zhang, Vitaveska Lanfranchi, Xulong Wang, Menghui Zhou, Po Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning.

Menghui Zhou, Xulong Wang, Yun Yang, Fengtao Nan, Yu Zhang, Jun Qi, Po Yang

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.

Yu Zhang, Po Yang, Vitaveska Lanfranchi

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.

Xulong Wang, Gaoshan Bi, Yu Zhang, Jun Qi, Yun Yang, Po Yang

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020