A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases. - Xulong Wang 001; Jun Qi 001; Yun Yang 003; Po Yang 001 (INDIN, 2019)

Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data. - Po Yang 001; Jing Liu; Jun Qi 001; Yun Yang 003; Xulong Wang 001; Zhihan Lv (ACM Trans. Intell. Syst. Technol., 2019)

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)

MFL_COVID19: Quantifying Country-based Factors affecting Case Fatality Rate in Early Phase of COVID-19 Epidemic via Regularised Multi-task Feature Learning. - Po Yang 001; Jun Qi 001; Xulong Wang 001; Yun Yang 003 (CoRR, 2020)

DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems. - Po Yang 001; Geng Yang; Jing Liu; Jun Qi 001; Yun Yang 003; Xulong Wang 001; Tian Wang 001 (IEEE Trans. Ind. Informatics, 2020)

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)

A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer's Disease Using Machine Learning Methods. - Zhen Pang; Xiang Wang; Xulong Wang 001; Jun Qi 001; Zhong Zhao; Yuan Gao; Yun Yang 003; Po Yang 001 (Mob. Networks Appl., 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)

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)

Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data. - Tong Liu 014; Xulong Wang 001; He Huang; Po Yang 001 (CIKM, 2023)

Effective Severity Assessment of Parkinson's Disease using Wearable Sensors in Free-living IoT Environment. - Ziheng Li; Yuting Zhao; Jun Qi 001; Xulong Wang 001; Yun Yang 003; Po Yang 001 (ICPADS, 2023)

Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise. - Zheyuan Xu; Fengtao Nan; Jun Qi 001; Yun Yang 003; Xulong Wang 001; Po Yang 001 (ICPADS, 2023)

Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data. - Liu Tao; Xulong Wang 001; Fengtao Nan; Jun Qi 001; Yun Yang 003; Po Yang 001 (ISIE, 2023)

A Weakly Supervised Learning Framework for Parkinson's Disease Assessment Using Wearable Sensor. - Ziheng Li; Xiyang Peng; Yuting Zhao; Xulong Wang 001; Yun Yang 003; Po Yang 001 (MSN, 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)

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)

Leveraging Multi-Sensor Data and Domain Adaptation for Improved Parkinson's Disease Assessment. - Mingchang Xu; Jun Qi 001; Xulong Wang 001; Menghui Zhou; Yun Yang 003; Po Yang 001 (BIBM, 2024)

Adaptive Domain-Adversarial Multi-Instance Learning for Wearable-Sensor-Based Parkinson's Disease Severity Assessment. - Zheyuan Xu; Xulong Wang 001; Menghui Zhou; Jun Qi 001; Yun Yang 003; Po Yang 001 (BIBM, 2024)

Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge. - Xiangchao Chang; Menghui Zhou; Xulong Wang 001; Yun Yang 003; Po Yang 001 (Knowl. Based Syst., 2024)

Wearable-Sensor-Based Weakly Supervised Parkinson's Disease Assessment with Data Augmentation. - Peng Yue; Ziheng Li; Menghui Zhou; Xulong Wang 001; Po Yang 001 (Sensors, 2024)

Unsupervised Transfer Aided Lifelong Regression for Learning New Tasks Without Target Output. - Tong Liu 014; Xulong Wang 001; Po Yang 001; Sheng Chen 001; Chris J. Harris (IEEE Trans. Knowl. Data Eng., 2024)

Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. - Menghui Zhou; Xulong Wang 001; Tong Liu 014; Yun Yang 003; Po Yang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Multimodal Wearable Intelligence for Dementia Care in Healthcare 4.0: a Survey. - Po Yang 001; Gaoshan Bi; Jun Qi 001; Xulong Wang 001; Yun Yang 003; Lida Xu (Inf. Syst. Frontiers, 2025)

Multi-Scale and Multi-Level Feature Assessment Framework for Classification of Parkinson's Disease State From Short-Term Motor Tasks. - Xiyang Peng; Yuting Zhao; Ziheng Li; Xulong Wang 001; Fengtao Nan; Zhong Zhao; Yun Yang 003; Po Yang 001 (IEEE Trans. Biomed. Eng., 2025)