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Taiyu Zhu

Showing results (1-10 of 17) with videos related to

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IEEE Journal of Biomedical and Health Informatics|August 22, 2023
Offline Deep Reinforcement Learning and Off-Policy Evaluation for Personalized Basal Insulin Control in Type 1 DiabetesTaiyu Zhu, Kezhi Li, Pantelis Georgiou
Ebiomedicine|June 25, 2026
Empowering digital health management with on-device large language models for glucose prediction: a model development and validation studyTaiyu Zhu, Joanna Howson, Alejo Nevado-Holgado
IEEE Journal of Biomedical and Health Informatics|November 24, 2020
Deep Learning for Diabetes: A Systematic ReviewTaiyu Zhu, Kezhi Li, Pau Herrero, et al.
IEEE Journal of Biomedical and Health Informatics|August 7, 2020
Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico ValidationTaiyu Zhu, Kezhi Li, Pau Herrero, et al.
IEEE Transactions on Bio-Medical Engineering|July 1, 2022
Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-LearningTaiyu Zhu, Kezhi Li, Pau Herrero, et al.
IEEE Journal of Biomedical and Health Informatics|May 3, 2023
GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial NetworksTaiyu Zhu, Kezhi Li, Pau Herrero, et al.
Sensors (Basel, Switzerland)|September 9, 2020
An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement LearningTaiyu Zhu, Kezhi Li, Lei Kuang, et al.
IEEE Journal of Biomedical and Health Informatics|April 7, 2023
A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q- Learning to Improve Type 1 Diabetes ManagementGiulia Noaro, Taiyu Zhu, Giacomo Cappon, et al.
Journal of Healthcare Informatics Research|April 13, 2022
Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 DiabetesTaiyu Zhu, Kezhi Li, Jianwei Chen, et al.
IEEE Journal of Biomedical and Health Informatics|August 2, 2019
GluNet: A Deep Learning Framework for Accurate Glucose ForecastingKezhi Li, Chengyuan Liu, Taiyu Zhu, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
IEEE Journal of Biomedical and Health Informatics|August 22, 2023
Offline Deep Reinforcement Learning and Off-Policy Evaluation for Personalized Basal Insulin Control in Type 1 DiabetesTaiyu Zhu, Kezhi Li, Pantelis Georgiou
Ebiomedicine|June 25, 2026
Empowering digital health management with on-device large language models for glucose prediction: a model development and validation studyTaiyu Zhu, Joanna Howson, Alejo Nevado-Holgado
IEEE Journal of Biomedical and Health Informatics|November 24, 2020
Deep Learning for Diabetes: A Systematic ReviewTaiyu Zhu, Kezhi Li, Pau Herrero, et al.
IEEE Journal of Biomedical and Health Informatics|August 7, 2020
Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico ValidationTaiyu Zhu, Kezhi Li, Pau Herrero, et al.
IEEE Transactions on Bio-Medical Engineering|July 1, 2022
Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-LearningTaiyu Zhu, Kezhi Li, Pau Herrero, et al.
IEEE Journal of Biomedical and Health Informatics|May 3, 2023
GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial NetworksTaiyu Zhu, Kezhi Li, Pau Herrero, et al.
Sensors (Basel, Switzerland)|September 9, 2020
An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement LearningTaiyu Zhu, Kezhi Li, Lei Kuang, et al.
IEEE Journal of Biomedical and Health Informatics|April 7, 2023
A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q- Learning to Improve Type 1 Diabetes ManagementGiulia Noaro, Taiyu Zhu, Giacomo Cappon, et al.
Journal of Healthcare Informatics Research|April 13, 2022
Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 DiabetesTaiyu Zhu, Kezhi Li, Jianwei Chen, et al.
IEEE Journal of Biomedical and Health Informatics|August 2, 2019
GluNet: A Deep Learning Framework for Accurate Glucose ForecastingKezhi Li, Chengyuan Liu, Taiyu Zhu, et al.
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