Yu Huang
Orcid: 0000-0001-7373-4716Affiliations:
- University of Florida, FL, USA
- National Yang Ming Chiao Tung University, Taiwan (PhD)
According to our database1,
Yu Huang
authored at least 25 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
IEEE Trans. Emerg. Top. Comput. Intell., February, 2025
COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data.
npj Digit. Medicine, 2025
Identifying progression subphenotypes of Alzheimer's disease from large-scale electronic health records with machine learning.
J. Biomed. Informatics, 2025
Variational temporal deconfounder network for individualized treatment effect estimation with longitudinal observational data.
J. Biomed. Informatics, 2025
Machine Learning Prediction of Autism Spectrum Disorder Diagnosis Through Linking Mothers' and Children's Electronic Health Records.
Proceedings of the 13th IEEE International Conference on Healthcare Informatics, 2025
2024
Snippet Policy Network V2: Knee-Guided Neuroevolution for Multi-Lead ECG Early Classification.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
J. Biomed. Informatics, 2024
Feasibility of Identifying Factors Related to Alzheimer's Disease and Related Dementia in Real-World Data.
CoRR, 2024
Graph contrastive learning as a versatile foundation for advanced scRNA-seq data analysis.
Briefings Bioinform., 2024
2023
IEEE Trans. Knowl. Data Eng., June, 2023
Continual learning with attentive recurrent neural networks for temporal data classification.
Neural Networks, January, 2023
Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D).
CoRR, 2023
2022
A Novel Constraint-Based Knee- Guided Neuroevolutionary Algorithm for Context-Specific ECG Early Classification.
IEEE J. Biomed. Health Informatics, 2022
Periodic Attention-based Stacked Sequence to Sequence framework for long-term travel time prediction.
Knowl. Based Syst., 2022
IPreMom: a continual learning-based image rating framework for infant precious moments capturing.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
2021
Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints.
ACM Trans. Knowl. Discov. Data, 2021
Knowl. Based Syst., 2021
Proceedings of the iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, Linz, Austria, 29 November 2021, 2021
2020
PURL: Periodic User Representation Learning from Temporal Event Records for Personalized Health Management.
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020
2019
Long-Term Traffic Time Prediction Using Deep Learning with Integration of Weather Effect.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Robust Sensor-based Human Activity Recognition with Snippet Consensus Neural Networks.
Proceedings of the 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2019
DeepIdentifier: A Deep Learning-Based Lightweight Approach for User Identity Recognition.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019
2018
Proceedings of the Database and Expert Systems Applications, 2018
2017
Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017