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Ke-Zhi Li · SciRah

Researcher profile · Semantic Scholar

Ke-Zhi Li

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Ke-Zhi Li — researcher profile on SciRah

h-index: 23
Works: 75
Citations: 2,626

Most-cited papers

Large Language Models for Mental Health Applications: Systematic Review
Zhijun Guo, Alvina Lai, J. Thygesen, Joseph Farrington +2 more
2024JMIR Mental Health308 citations Open access
Semantic Scholar
Convolutional Recurrent Neural Networks for Glucose Prediction
Ke-Zhi Li, John Daniels, Chengyuan Liu, P. Herrero +1 more
2018IEEE journal of biomedical and health informatics280 citations Open access
Semantic Scholar
Deep Learning for Diabetes: A Systematic Review
Tai-Yu Zhu, Ke-Zhi Li, P. Herrero, P. Georgiou
2020IEEE journal of biomedical and health informatics208 citations Open access
Semantic Scholar
GluNet: A Deep Learning Framework for Accurate Glucose Forecasting
Ke-Zhi Li, Chengyuan Liu, Tai-Yu Zhu, P. Herrero +1 more
2020IEEE journal of biomedical and health informatics197 citations Open access
Semantic Scholar
Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes
Tai-Yu Zhu, Ke-Zhi Li, Jianwei Chen, P. Herrero +1 more
2020Journal of Healthcare Informatics Research137 citations Open access
Semantic Scholar
Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning
Tai-Yu Zhu, Ke-Zhi Li, P. Herrero, P. Georgiou
2022IEEE Transactions on Biomedical Engineering126 citations Open access
Semantic Scholar
Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation
Tai-Yu Zhu, Ke-Zhi Li, P. Herrero, P. Georgiou
2020IEEE journal of biomedical and health informatics117 citations Open access
Semantic Scholar
IoMT-Enabled Real-Time Blood Glucose Prediction With Deep Learning and Edge Computing
Tai-Yu Zhu, Lei Kuang, John Daniels, P. Herrero +2 more
2023IEEE Internet of Things Journal114 citations
Semantic Scholar
A Deep Learning Algorithm for Personalized Blood Glucose Prediction
Tai-Yu Zhu, Ke-Zhi Li, P. Herrero, Jianwei Chen +1 more
2018KHD@IJCAI106 citations
Semantic Scholar
Enhancing self-management in type 1 diabetes with wearables and deep learning
Tai-Yu Zhu, Chukwuma Uduku, Ke-Zhi Li, P. Herrero +2 more
2022npj Digital Medicine91 citations Open access
Semantic Scholar
Machine learning for real-time aggregated prediction of hospital admission for emergency patients
Zella King, Joseph Farrington, M. Utley, Enoch Kung +6 more
2022npj Digital Medicine84 citations Open access
Semantic Scholar
An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning
Tai-Yu Zhu, Ke-Zhi Li, Lei Kuang, P. Herrero +1 more
2020Italian National Conference on Sensors75 citations Open access
Semantic Scholar
3D Compressed Spectrum Mapping With Sampling Locations Optimization in Spectrum-Heterogeneous Environment
Feng Shen, Z. Wang, Guoru Ding, Ke-Zhi Li +1 more
2021IEEE Transactions on Wireless Communications72 citations Open access
Semantic Scholar
COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
J. Thygesen, Christopher Tomlinson, S. Hollings, M. Mizani +287 more
2022The Lancet Digital Health68 citations Open access
Semantic Scholar
Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge
Tai-Yu Zhu, Lei Kuang, Chengzhe Piao, Junming Zeng +2 more
2024IEEE Transactions on Biomedical Circuits and Systems59 citations
Semantic Scholar
Dilated Recurrent Neural Network for Short-time Prediction of Glucose Concentration
Jianwei Chen, Ke-Zhi Li, P. Herrero, Tai-Yu Zhu +1 more
2018KHD@IJCAI47 citations
Semantic Scholar
Machine learning in transfusion medicine: A scoping review
Suzanne Maynard, Joseph Farrington, Samah Alimam, H. Evans +3 more
2023Transfusion45 citations Open access
Semantic Scholar
GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial Networks
Tai-Yu Zhu, Ke-Zhi Li, P. Herrero, P. Georgiou
2023IEEE journal of biomedical and health informatics40 citations Open access
Semantic Scholar
Blood Glucose Prediction for Type 1 Diabetes Using Generative Adversarial Networks
Tai-Yu Zhu, Xi Yao, Ke-Zhi Li, P. Herrero +1 more
2020KDH@ECAI40 citations
Semantic Scholar
Blood Glucose Prediction in Type 1 Diabetes Using Deep Learning on the Edge
Tai-Yu Zhu, Lei Kuang, Ke-Zhi Li, Junming Zeng +2 more
2021International Symposium on Circuits and Systems37 citations Open access
Semantic Scholar
Large Language Model for Mental Health: A Systematic Review
Zhijun Guo, Alvina Lai, J. Thygesen, Joseph Farrington +2 more
2024arXiv.org32 citations Open access
Semantic Scholar
Offline Deep Reinforcement Learning and Off-Policy Evaluation for Personalized Basal Insulin Control in Type 1 Diabetes
Tai-Yu Zhu, Ke-Zhi Li, P. Georgiou
2023IEEE journal of biomedical and health informatics30 citations Open access
Semantic Scholar
A Non-Linear Reweighted Total Variation Image Reconstruction Algorithm for Electrical Capacitance Tomography
Ke-Zhi Li, T. C. Chandrasekera, Yi Li, D. Holland
2018IEEE Sensors Journal24 citations
Semantic Scholar
Edge-Based Temporal Fusion Transformer for Multi-Horizon Blood Glucose Prediction
Tai-Yu Zhu, Tianrui Chen, Lei Kuangt, Junming Zeng +2 more
2023International Symposium on Circuits and Systems23 citations
Semantic Scholar
Sensor fault detection of vehicle suspension systems based on transmissibility operators and Neyman-Pearson test
Y. Wang, Xueke Zheng, Le Wang, Gavin Lu +3 more
2023Reliability Engineering & System Safety21 citations
Semantic Scholar
Game-Theoretic Incentive Mechanism for Blockchain-Based Federated Learning
Wenzheng Tang, Er-Wu Liu, Wei Ni, Xin-Yu Qu +4 more
2025IEEE Transactions on Mobile Computing19 citations
Semantic Scholar
Multi-Horizon Glucose Prediction Across Populations With Deep Domain Generalization
Tai-Yu Zhu, Ioannis Afentakis, Ke-Zhi Li, Ryan Armiger +3 more
2024IEEE journal of biomedical and health informatics18 citations Open access
Semantic Scholar
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series
Chengzhe Piao, Tai-Yu Zhu, S. Baldeweg, Paul Taylor +4 more
2024Neural Networks17 citations
Semantic Scholar
Development and Validation of a Prognostic Risk Score System for COVID-19 Inpatients: A Multi-Center Retrospective Study in China
Ye Yuan, Chuan Sun, Xiuchuan Tang, Cheng Cheng +23 more
2020Engineering16 citations Open access
Semantic Scholar
An Efficient and Fast Quantum State Estimator With Sparse Disturbance
Jiao-Jiao Zhang, Shuang Cong, Qing Ling, Ke-Zhi Li
2019IEEE Transactions on Cybernetics15 citations
Semantic Scholar
A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning
Tai-Yu Zhu, Ke-Zhi Li, P. Georgiou
2019arXiv.org14 citations
Semantic Scholar
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach
Chengzhe Piao, Tai-Yu Zhu, Yu Wang, S. Baldeweg +5 more
2024IEEE journal of biomedical and health informatics13 citations Open access
Semantic Scholar
Evaluation of trajectory analysis for disease risk assessment: a scoping review
Freya Pollington, Spiros C. Denaxas, Ke-Zhi Li, J. Thygesen +2 more
2025J. Am. Medical Informatics Assoc.11 citations Open access
Semantic Scholar
FUAS-Agents: Autonomous Multi-Modal LLM Agents for Treatment Planning in Focused Ultrasound Ablation Surgery
Li-Na Zhao, Z. Bian, Qingyu Chen, Ya-Fang Li +7 more
202511 citations
Semantic Scholar
Classification of Lapses in Smokers Attempting to Stop: A Supervised Machine Learning Approach Using Data From a Popular Smoking Cessation Smartphone App
O. Perski, Ke-Zhi Li, Nikolas Pontikos, David Simons +3 more
2023Nicotine & Tobacco Research11 citations Open access
Semantic Scholar
Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2
Honghan Wu, Huayu Zhang, Andreas Karwath, Zina M. Ibrahim +17 more
2020J. Am. Medical Informatics Assoc.10 citations Open access
Semantic Scholar
Dynamic mortality prediction in critically Ill children during interhospital transports to PICUs using explainable AI
Zhiqiang Huo, John Booth, Thomas Monks, Philip Knight +5 more
2025npj Digital Medicine9 citations
Semantic Scholar
FairMedQA: Benchmarking Bias in Large Language Models for Medical Question Answering
Ying Xiao, Jie Huang, Rui He, Jing Xiao +5 more
20259 citations
Semantic Scholar
A Multi-Class Valvular Heart Disease Diagnosis System Using a Two-Stage Lightweight Model
Hao-Jie Zhang, En-Ze Li, Yang Tan, Lin Shen +8 more
2025Global Conference on Consumer Electronics8 citations
Semantic Scholar
Evaluating the Feasibility and Acceptability of a GPT-Based Chatbot for Depression Screening: A Mixed-Methods Study
Zhijun Guo, Alvina Lai, Z. Deng, Ke-Zhi Li
2024AIiH8 citations
Semantic Scholar
Personalized Dual-Hormone Control for Type 1 Diabetes Using Deep Reinforcement Learning
Tai-Yu Zhu, Ke-Zhi Li, P. Georgiou
2020Explainable AI in Healthcare and Medicine8 citations
Semantic Scholar
Convolutional Recurrent Neural Networks for Blood Glucose Prediction
Ke-Zhi Li, John Daniels, P. Viñas, Chengyuan Liu +1 more
2018arXiv.org8 citations
Semantic Scholar
Development and Evaluation of HopeBot: an LLM-based chatbot for structured and interactive PHQ-9 depression screening
Zhijun Guo, Alvina Lai, J. Ive, Alexandru Petcu +4 more
20257 citations
Semantic Scholar
Quantum State Filter With Disturbance and Noise
Jiao-Jiao Zhang, Shuang Cong, Qing Ling, Ke-Zhi Li +1 more
2020IEEE Transactions on Automatic Control7 citations
Semantic Scholar
A computational model for anti-cancer drug sensitivity prediction
Zhe Zhao, Ke-Zhi Li, Chris Toumazou, M. Kalofonou
2019Biomedical Circuits and Systems Conference7 citations Open access
Semantic Scholar
Going faster to see further: graphics processing unit-accelerated value iteration and simulation for perishable inventory control using JAX
Joseph Farrington, Wai Keong Wong, Ke-Zhi Li, Martin Utley
2023Annals of Operations Research6 citations Open access
Semantic Scholar
Machine Learning Models for Predicting Type 2 Diabetes Complications in Malaysia
Mohamad Zulfikrie Abas, Ke-Zhi Li, W. Choo, K. Wan +1 more
2025Asia-Pacific journal of public health5 citations
Semantic Scholar
Development of a machine learning model to predict intensive care unit bed demand for adult elective surgical patients at a large United Kingdom National Health Service Trust
Jennifer Hunter, H. Vaidya, Sonya Crowe, Martin Utley +3 more
2026BJA Open3 citations
Semantic Scholar
Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks
Joseph Farrington, Samah Alimam, Martin Utley, Ke-Zhi Li +1 more
2024arXiv.org3 citations
Semantic Scholar
Distribution and trajectory of vital signs from high-frequency continuous monitoring during pediatric critical care transport
Zhiqiang Huo, John Booth, Thomas Monks, Philip Knight +5 more
2023Intensive Care Medicine3 citations Open access
Semantic Scholar

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