Dilated Recurrent Neural Network for Short-time Prediction of Glucose Concentration. - Jianwei Chen; Kezhi Li; Pau Herrero; Taiyu Zhu; Pantelis Georgiou (KDH@IJCAI, 2018)

A Deep Learning Algorithm for Personalized Blood Glucose Prediction. - Taiyu Zhu; Kezhi Li; Pau Herrero; Jianwei Chen; Pantelis Georgiou (KDH@IJCAI, 2018)

A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning. - Taiyu Zhu; Kezhi Li; Pantelis Georgiou (CoRR, 2019)

Blood Glucose Prediction for Type 1 Diabetes Using Generative Adversarial Networks. - Taiyu Zhu; Xi Yao; Kezhi Li; Pau Herrero; Pantelis Georgiou (KDH@ECAI, 2020)

Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes. - Taiyu Zhu; Kezhi Li; Jianwei Chen; Pau Herrero; Pantelis Georgiou (J. Heal. Informatics Res., 2020)

An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning. - Taiyu Zhu; Kezhi Li; Lei Kuang; Pau Herrero; Pantelis Georgiou (Sensors, 2020)

GluNet: A Deep Learning Framework for Accurate Glucose Forecasting. - Kezhi Li; Chengyuan Liu; Taiyu Zhu; Pau Herrero; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2020)

Live Demonstration: An IoT Wearable Device for Real-time Blood Glucose Prediction with Edge AI. - Lei Kuang; Taiyu Zhu; Kezhi Li; John Daniels; Pau Herrero; Pantelis Georgiou (BioCAS, 2021)

Blood Glucose Prediction in Type 1 Diabetes Using Deep Learning on the Edge. - Taiyu Zhu; Lei Kuang; Kezhi Li; Junming Zeng; Pau Herrero; Pantelis Georgiou (ISCAS, 2021)

Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation. - Taiyu Zhu; Kezhi Li; Pau Herrero; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2021)

Deep Learning for Diabetes: A Systematic Review. - Taiyu Zhu; Kezhi Li; Pau Herrero; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2021)

Design of Memory Shifting System Based on Dual-Space Storage Architecture. - Wang Zhehe; Shuang Li; Jiabao Jiang; Chunteng Wang; Xianchao Wang; Taiyu Zhu (IEEE Access, 2022)

Enhancing self-management in type 1 diabetes with wearables and deep learning. - Taiyu Zhu; Chukwuma Uduku; Kezhi Li; Pau Herrero; Nick Oliver; Pantelis Georgiou (npj Digit. Medicine, 2022)

Drift Prediction and Chemical Reaction Identification for ISFETs using Deep Learning. - Yuting Xu; Lei Kuang; Taiyu Zhu; Junming Zeng; Pantelis Georgiou (ISCAS, 2023)

Edge-Based Temporal Fusion Transformer for Multi-Horizon Blood Glucose Prediction. - Taiyu Zhu; Tianrui Chen; Lei Kuang; Junming Zeng; Kezhi Li; Pantelis Georgiou (ISCAS, 2023)

Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning. - Taiyu Zhu; Kezhi Li; Pau Herrero; Pantelis Georgiou (IEEE Trans. Biomed. Eng., 2023)

IoMT-Enabled Real-Time Blood Glucose Prediction With Deep Learning and Edge Computing. - Taiyu Zhu; Lei Kuang; John Daniels; Pau Herrero; Kezhi Li; Pantelis Georgiou (IEEE Internet Things J., 2023)

A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q- Learning to Improve Type 1 Diabetes Management. - Giulia Noaro; Taiyu Zhu; Giacomo Cappon; Andrea Facchinetti; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2023)

Offline Deep Reinforcement Learning and Off-Policy Evaluation for Personalized Basal Insulin Control in Type 1 Diabetes. - Taiyu Zhu; Kezhi Li; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2023)

GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial Networks. - Taiyu Zhu; Kezhi Li; Pau Herrero; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2023)

Genome-wide association neural networks identify genes linked to family history of Alzheimer's disease. - Upamanyu Ghose; William Sproviero; Laura Winchester; Najaf Amin; Taiyu Zhu; Danielle Newby; Brittany S. Ulm; Angeliki Papathanasiou; Liu Shi; Qiang Liu; Marco Fernandes; Cassandra Adams; et al. (Briefings Bioinform., 2024)

Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach. - Chengzhe Piao; Taiyu Zhu; Yu Wang; Stephanie E. Baldeweg; Paul Taylor; Pantelis Georgiou; Jiahao Sun; Jun Wang; Kezhi Li (CoRR, 2024)

Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge. - Taiyu Zhu; Lei Kuang; Chengzhe Piao; Junming Zeng; Kezhi Li; Pantelis Georgiou (IEEE Trans. Biomed. Circuits Syst., 2024)

CTHNE: Contrastive triplet learning for heterogeneous information networks with enhanced model fusion. - Taiyu Zhu; Shuai Zhu; Haoyu Zhang; Xuchu Jiang (Neurocomputing, 2025)

GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series. - Chengzhe Piao; Taiyu Zhu; Stephanie E. Baldeweg; Paul Taylor; Pantelis Georgiou; Jiahao Sun; Jun Wang; Kezhi Li (Neural Networks, 2025)

Multi-Horizon Glucose Prediction Across Populations With Deep Domain Generalization. - Taiyu Zhu; Ioannis Afentakis; Kezhi Li; Ryan Armiger; Neil Hill; Nick Oliver; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2025)