| Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression M Zhou, Y Zhang, T Liu, Y Yang, P Yang (CIKM 2022) 31st ACM International Conference on Information & Knowledge …, 2022 | 10 | 2022 |
| Robust Temporal Smoothness in Multi-Task Learning M Zhou, Y Zhang, Y Yang, T Liu, P Yang (AAAI 2023) 37th AAAI Conference on Artificial Intelligence 37 (9), 11426-11434, 2023 | 8 | 2023 |
| Automatic Temporal Relation in Multi-Task Learning M Zhou, P Yang (KDD 2023) 29th ACM Conference on Knowledge Discovery and Data Mining, 3570-3580, 2023 | 7 | 2023 |
| A Multi-classification Accessment framework for reproducible evaluation of multimodal learning in Alzheimer's disease F Nan, S Li, J Wang, Y Tang, J Qi, M Zhou, Z Zhao, Y Yang, P Yang IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022 | 7 | 2022 |
| Modeling alzheimer’s disease progression via amalgamated magnitude-direction brain structure variation quantification and tensor multi-task learning Y Zhang, V Lanfranchi, X Wang, M Zhou, P Yang 2022 International Conference on Bioinformatics and Biomedicine (BIBM), 2735 …, 2022 | 6 | 2022 |
| Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study Y Zhang, M Zhou, T Liu, V Lanfranchi, P Yang 44th Conference of the IEEE Engineering in Medicine & Biology Society, 979-985, 2022 | 4 | 2022 |
| Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application S Zhang, G Bi, J Qi, Y Yang, X Kong, F Nan, M Zhou, P Yang IEEE Internet of Things Journal 10 (8), 6742-6755, 2022 | 4 | 2022 |
| Modeling disease progression flexibly with nonlinear disease structure via multi-task learning M Zhou, X Wang, Y Yang, F Nan, Y Zhang, J Qi, P Yang (MSN 2021) 17th International Conference on Mobility, Sensing and Networking …, 2021 | 4 | 2021 |
| Efficient multi-task learning with adaptive temporal structure for progression prediction M Zhou, Y Zhang, T Liu, Y Yang, P Yang (NCAA 2023) Neural Computing and Applications, 1-16, 2023 | 2 | 2023 |
| Wearable-Sensor-Based Weakly Supervised Parkinson’s Disease Assessment with Data Augmentation P Yue, Z Li, M Zhou, X Wang, P Yang Sensors 24 (4), 1196, 2024 | 1 | 2024 |
| Spatio-temporal similarity measure based multi-task learning for predicting alzheimer’s disease progression using mri data X Wang, Y Zhang, M Zhou, T Liu, J Qi, P Yang 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 1 | 2023 |
| Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction M Zhou, X Wang, T Liu, Y Yang, P Yang (TKDE 2024) IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
| Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer’s Disease Progression Prediction M Zhou, T Liu, X Wang, K Liu, Y Zhang, P Yang (BIBM 2023) 2023 IEEE International Conference on Bioinformatics and …, 2023 | | 2023 |
| Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer’s Disease Progression X Wang, M Zhou, Y Zhang, K Liu, J Qi, P Yang 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| Representative UPDRS Features of Single Wearable Sensor for Severity Classification of Parkinson’s Disease Y Zhao, X Wang, X Peng, Z Li, F Nan, M Zhou, P Yue, Z Zhao, Y Yang, ... International Workshop on Internet of Things of Big Data for Healthcare, 124-136, 2023 | | 2023 |
| Adaptive Prior Correction in Alzheimer’s Disease Spatio-Temporal Modeling via Multi-task Learning X Chang, M Zhou, Y Yang, P Yang International Workshop on Internet of Things of Big Data for Healthcare, 69-83, 2023 | | 2023 |
| Randomized Multi-task Feature Learning Approach for Modelling and Predicting Alzheimer’s Disease Progression X Wang, Y Zhang, M Zhou, T Liu, Z Yuan, X Peng, K Liu, J Qi, P Yang International Workshop on Internet of Things of Big Data for Healthcare, 52-68, 2023 | | 2023 |
| Analytic Correlation Penalty with Variable Window in Multi-task Learning Disease Progression Model X Chang, M Zhou, F Nan, Y Yang, P Yang 18th International Conference on Mobility, Sensing and Networking, 687-691, 2022 | | 2022 |
| Informative Relationship Multi-Task Learning: Exploring Pairwise Contribution Across Tasks' Sharing Knowledge X Chang, M Zhou, X Wang, Y Yang, P Yang Available at SSRN 4727545, 0 | | |
Po YangSheffield University在 sheffield.ac.uk 的电子邮件经过验证
