Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression. - Xulong Wang 001; Gaoshan Bi; Yu Zhang 128; Jun Qi 001; Yun Yang 003; Po Yang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Tensor Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI data with Spatio-temporal Similarity Measurement. - Yu Zhang 128; Po Yang 001; Vitaveska Lanfranchi (INDIN, 2021)

Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning. - Menghui Zhou; Xulong Wang 001; Yun Yang 003; Fengtao Nan; Yu Zhang 128; Jun Qi 001; Po Yang 001 (MSN, 2021)

Modeling Alzheimer's Disease Progression via Amalgamated Magnitude-Direction Brain Structure Variation Quantification and Tensor Multi-task Learning. - Yu Zhang 128; Vitaveska Lanfranchi; Xulong Wang 001; Menghui Zhou; Po Yang 001 (BIBM, 2022)

Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. - Menghui Zhou; Yu Zhang 128; Tong Liu 014; Yun Yang 003; Po Yang 001 (CIKM, 2022)

Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study. - Yu Zhang 128; Menghui Zhou; Tong Liu 014; Vitaveska Lanfranchi; Po Yang 001 (EMBC, 2022)

Spatio-temporal Tensor Multi-Task Learning for Precision Fertilisation with Real-world Agricultural Data. - Yu Zhang 128; Tong Liu 014; Yang Li; Ruijing Wang; He Huang; Po Yang 001 (IECON, 2022)

Robust Temporal Smoothness in Multi-Task Learning. - Menghui Zhou; Yu Zhang 128; Yun Yang 003; Tong Liu 014; Po Yang 001 (AAAI, 2023)

Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. - Xulong Wang 001; Yu Zhang 128; Menghui Zhou; Tong Liu 014; Jun Qi 001; Po Yang 001 (BIBM, 2023)

Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression. - Xulong Wang 001; Menghui Zhou; Yu Zhang 128; Kang Liu; Jun Qi 001; Po Yang 001 (BIBM, 2023)

Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. - Menghui Zhou; Tong Liu 014; Xulong Wang 001; Kang Liu; Yu Zhang 128; Po Yang 001 (BIBM, 2023)

Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data. - Yu Zhang 128; Xulong Wang 001; Tong Liu 014; Ruijing Wang; Yang Li; Qing Xue; Po Yang 001 (J. Ind. Inf. Integr., 2023)

Efficient multi-task learning with adaptive temporal structure for progression prediction. - Menghui Zhou; Yu Zhang 128; Tong Liu 014; Yun Yang 003; Po Yang 001 (Neural Comput. Appl., 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 128; Xulong Wang 001; Tong Liu 014; Rujing Wang; Yang Li; Qing Xue; Po Yang 001 (J. Ind. Inf. Integr., 2023)

Adaptive Multi-Cognitive Objective Temporal Task Approach for Predicting AD Progression. - Xuanhan Fan; Menghui Zhou; Yu Zhang 128; Jun Qi 001; Yun Yang 003; Po Yang 001 (BIBM, 2024)

Learning Interpretable Continuous Representation for Alzheimer's Disease Classification. - Menghui Zhou; Mingxia Wang; Yu Zhang 128; Zhipeng Yuan; Vitaveska Lanfranchi; Po Yang 001 (BIBM, 2024)

ParallelFarm: An AI-Enabled Sustainable Farming Management System for Carbon Neutrality. - Gaoshan Bi; Yu Zhang 128; Qing Xue; Yang Li; Zhipeng Yuan; Kang Liu; Tong Liu 014; Po Yang 001 (INDIN, 2024)

TMTCIL-st: Spatio-Temporal Tensor Multi-Task Continuous Incremental Learning for Multi-Fertiliser Management. - Yu Zhang 128; Gaoshan Bi; Simon Jeffery; Max Davis; Yang Li; Qing Xue; Po Yang 001 (ICIT, 2025)

Exploring the Feasibility of Deep Learning Models for Long-term Disease Prediction: A Case Study for Wheat Yellow Rust in England. - Zhipeng Yuan; Yu Zhang 128; Gaoshan Bi; Po Yang 001 (CoRR, 2025)

KG-FGNN: Knowledge-guided GNN Foundation Model for Fertilisation-oriented Soil GHG Flux Prediction. - Yu Zhang 128; Gaoshan Bi; Simon Jeffery; Max Davis; Yang Li; Qing Xue; Po Yang 001 (CoRR, 2025)