Xulong Wang
Orcid: 0000-0002-7385-4926Affiliations:
- University of Sheffield, UK
According to our database1,
Xulong Wang
authored at least 26 papers
between 2019 and 2025.
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Bibliography
2025
Multi-Scale and Multi-Level Feature Assessment Framework for Classification of Parkinson's Disease State From Short-Term Motor Tasks.
IEEE Trans. Biomed. Eng., April, 2025
Inf. Syst. Frontiers, February, 2025
2024
Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction.
IEEE Trans. Knowl. Data Eng., October, 2024
Unsupervised Transfer Aided Lifelong Regression for Learning New Tasks Without Target Output.
IEEE Trans. Knowl. Data Eng., September, 2024
Wearable-Sensor-Based Weakly Supervised Parkinson's Disease Assessment with Data Augmentation.
Sensors, February, 2024
Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge.
Knowl. Based Syst., 2024
Adaptive Domain-Adversarial Multi-Instance Learning for Wearable-Sensor-Based Parkinson's Disease Severity Assessment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Leveraging Multi-Sensor Data and Domain Adaptation for Improved Parkinson's Disease Assessment.
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
Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data.
J. Ind. Inf. Integr., August, 2023
A Weakly Supervised Learning Framework for Parkinson's Disease Assessment Using Wearable Sensor.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023
Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023
Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Effective Severity Assessment of Parkinson's Disease using Wearable Sensors in Free-living IoT Environment.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 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
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
A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer's Disease Using Machine Learning Methods.
Mob. Networks Appl., 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
2020
DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems.
IEEE Trans. Ind. Informatics, 2020
MFL_COVID19: Quantifying Country-based Factors affecting Case Fatality Rate in Early Phase of COVID-19 Epidemic via Regularised Multi-task Feature Learning.
CoRR, 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
2019
Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data.
ACM Trans. Intell. Syst. Technol., 2019
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019