Taiyu Zhu

Orcid: 0000-0002-9782-3470

According to our database1, Taiyu Zhu authored at least 22 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge.
IEEE Trans. Biomed. Circuits Syst., April, 2024

GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series.
CoRR, 2024

2023
GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial Networks.
IEEE J. Biomed. Health Informatics, October, 2023

Offline Deep Reinforcement Learning and Off-Policy Evaluation for Personalized Basal Insulin Control in Type 1 Diabetes.
IEEE J. Biomed. Health Informatics, October, 2023

A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q- Learning to Improve Type 1 Diabetes Management.
IEEE J. Biomed. Health Informatics, May, 2023

IoMT-Enabled Real-Time Blood Glucose Prediction With Deep Learning and Edge Computing.
IEEE Internet Things J., March, 2023

Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning.
IEEE Trans. Biomed. Eng., 2023

Edge-Based Temporal Fusion Transformer for Multi-Horizon Blood Glucose Prediction.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Drift Prediction and Chemical Reaction Identification for ISFETs using Deep Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022
Enhancing self-management in type 1 diabetes with wearables and deep learning.
npj Digit. Medicine, 2022

Design of Memory Shifting System Based on Dual-Space Storage Architecture.
IEEE Access, 2022

2021
Deep Learning for Diabetes: A Systematic Review.
IEEE J. Biomed. Health Informatics, 2021

Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation.
IEEE J. Biomed. Health Informatics, 2021

Blood Glucose Prediction in Type 1 Diabetes Using Deep Learning on the Edge.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Live Demonstration: An IoT Wearable Device for Real-time Blood Glucose Prediction with Edge AI.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021

2020
GluNet: A Deep Learning Framework for Accurate Glucose Forecasting.
IEEE J. Biomed. Health Informatics, 2020

An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning.
Sensors, 2020

Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes.
J. Heal. Informatics Res., 2020

Blood Glucose Prediction for Type 1 Diabetes Using Generative Adversarial Networks.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

2019
A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning.
CoRR, 2019

2018
A Deep Learning Algorithm for Personalized Blood Glucose Prediction.
Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018

Dilated Recurrent Neural Network for Short-time Prediction of Glucose Concentration.
Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018


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