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

, , , , , , and . MSN, page 366-373. IEEE, (2021)

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Optical fiber laser sensor for liquid level measurement based on multimode interference effect., , , and . WOCC, page 1-4. IEEE, (2016)Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression., , , , and . CIKM, page 2743-2752. ACM, (2022)Automatic Temporal Relation in Multi-Task Learning., and . KDD, page 3570-3580. ACM, (2023)Modeling Alzheimer's Disease Progression via Amalgamated Magnitude-Direction Brain Structure Variation Quantification and Tensor Multi-task Learning., , , , and . BIBM, page 2735-2742. IEEE, (2022)Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction., , , , and . IEEE Trans. Knowl. Data Eng., 36 (10): 5206-5220 (October 2024)Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning., , , , , , and . MSN, page 366-373. IEEE, (2021)Robust Temporal Smoothness in Multi-Task Learning., , , , and . AAAI, page 11426-11434. AAAI Press, (2023)Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge., , , , and . Knowl. Based Syst., (2024)Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study., , , , and . EMBC, page 979-985. IEEE, (2022)Analytic Correlation Penalty with Variable Window in Multi-task Learning Disease Progression Model., , , , and . MSN, page 687-691. IEEE, (2022)