Yintao Zhou
Orcid: 0000-0001-8411-9313
According to our database1,
Yintao Zhou authored at least 12 papers
between 2020 and 2026.
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Bibliography
2026
A Tri-Factor Adaptive Federated Learning Framework for Parkinson's Disease Diagnosis via Multi-Source Facial Expression Analysis.
IEEE J. Biomed. Health Informatics, March, 2026
2025
Facial Expression-based Parkinson's Disease Severity Diagnosis via Feature Fusion and Adaptive Class Balancing.
CoRR, October, 2025
In Vitro Diagnosis of Parkinson's Disease Based on Facial Expression and Behavioral Gait Data.
IEEE J. Biomed. Health Informatics, September, 2025
Heterogeneous Prototype Learning From Contaminated Faces Across Domains via Disentangling Latent Factors.
IEEE Trans. Neural Networks Learn. Syst., April, 2025
A Multimodal In Vitro Diagnostic Method for Parkinson's Disease Combining Facial Expressions and Behavioral Gait Data.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025
Breaking Data Silos in Parkinson's Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
A Novel Multi-task-learning Framework of Dementia Diseases Diagnosis based on Synthesized Arterial Spin Labeling Images.
Proceedings of the 2024 4th International Conference on Internet of Things and Machine Learning, 2024
Proceedings of the 2024 4th International Conference on Internet of Things and Machine Learning, 2024
Reconstructing Prototype From Contaminated Face With Variations Across Heterogeneous Domains.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Early Diagnosing Parkinson's Disease Via a Deep Learning Model Based on Augmented Facial Expression Data.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Facial Expression Guided Diagnosis of Parkinson's Disease via High-Quality Data Augmentation.
IEEE Trans. Multim., 2023
2020
A novel automatic image segmentation method for Chinese literati paintings using multi-view fuzzy clustering technology.
Multim. Syst., 2020