Kezhi Li

According to our database, Kezhi Li authored at least 66 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Online estimated-based-state feedback control of n-qubit stochastic open quantum systems.

Shuang Cong, Zhixiang Dong, Jie Wen, Kezhi Li

Autom., 2025

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., April, 2024

Forehead or Headlights - At Which Height Should LiDARs be Mounted on the Vehicle?

Kezhi Li, Yeqiang Qian, Chunxiang Wang, Ming Yang

IEEE Trans. Intell. Veh., January, 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

Large Language Model for Mental Health: A Systematic Review.

Zhijun Guo, Alvina Lai, Johan Hilge Thygesen, Joseph Farrington, Thomas Keen, Kezhi Li

CoRR, 2024

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

CoRR, 2024

Evaluating the Feasibility and Acceptability of a GPT-Based Chatbot for Depression Screening: A Mixed-Methods Study.

Zhijun Guo, Alvina Grace Lai, Zhouyiyi Deng, Kezhi Li

Proceedings of the Artificial Intelligence in Healthcare - First International Conference, 2024

2023

GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial Networks.

Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou

IEEE J. Biomed. Health Informatics, October, 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, October, 2023

Sensor fault detection of vehicle suspension systems based on transmissibility operators and Neyman-Pearson test.

Ying Wang, Xueke Zheng, Le Wang, Gavin Lu, Yixing Jia, Kezhi Li, Mian Li

Reliab. Eng. Syst. Saf., April, 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., March, 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

Going faster to see further: GPU-accelerated value iteration and simulation for perishable inventory control using JAX.

Joseph Farrington, Kezhi Li, Wai Keong Wong, Martin Utley

CoRR, 2023

Edge-Based Temporal Fusion Transformer for Multi-Horizon Blood Glucose Prediction.

Taiyu Zhu, Tianrui Chen, Lei Kuang, Junming Zeng, Kezhi Li, Pantelis Georgiou

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022

3D Compressed Spectrum Mapping With Sampling Locations Optimization in Spectrum-Heterogeneous Environment.

Feng Shen, Zheng Wang, Guoru Ding, Kezhi Li, Qihui Wu

IEEE Trans. Wirel. Commun., 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

Machine learning for real-time aggregated prediction of hospital admission for emergency patients.

Zella King, Joseph Farrington, Martin Utley, Enoch Kung, Samer Elkhodair, Steve K. Harris, Richard Sekula, Jonathan Gillham, Kezhi Li, Sonya Crowe

npj Digit. Medicine, 2022

2021

Deep Learning for Diabetes: A Systematic Review.

Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou

IEEE J. Biomed. Health Informatics, 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

An efficient online estimation algorithm with measurement noise for time-varying quantum states.

Kun Zhang, Shuang Cong, Kezhi Li

Signal Process., 2021

Nonlinear Optimal Feedback Control of the Two-Level Open Non-Markovian Stochastic Quantum System.

Shahid Qamar, Shuang Cong, Kezhi Li, Zhixiang Dong, Feng Shuang

Open Syst. Inf. Dyn., 2021

Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2.

Honghan Wu, Huayu Zhang, Andreas Karwath, Zina M. Ibrahim, Ting Shi, Xin Zhang, Kun Wang, Jiaxing Sun, Kevin Dhaliwal, Daniel Bean, Victor Roth Cardoso, Kezhi Li, James T. Teo, Amitava Banerjee, Fang Gao-Smith, Tony Whitehouse, Tonny Veenith, Georgios V. Gkoutos, Xiaodong Wu, Richard J. B. Dobson, Bruce Guthrie

J. Am. Medical Informatics Assoc., 2021

Learning Vector Quantization-Aided Detection for MIMO Systems.

Zheng Wang, Xiong Xu, Xiaodan Qiang, Kezhi Li

IEEE Commun. Lett., 2021

Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics.

Kun Qian, Liang Zhang, Kezhi Li, Juan Liu

Frontiers Digit. Health, 2021

On-line quantum state estimation using continuous weak measurement and compressed sensing.

Shuang Cong, Yaru Tang, Sajede Harraz, Kezhi Li, Jingbei Yang

Sci. China Inf. Sci., 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

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.

Lei Kuang, Taiyu Zhu, Kezhi Li, John Daniels, Pau Herrero, Pantelis Georgiou

Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021

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

Convolutional Recurrent Neural Networks for Glucose Prediction.

Kezhi Li, John Daniels, Chengyuan Liu, Pau Herrero, Pantelis Georgiou

IEEE J. Biomed. Health Informatics, 2020

Quantum State Filter With Disturbance and Noise.

Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li, Herschel Rabitz

IEEE Trans. Autom. Control., 2020

Dynamic Markov Chain Monte Carlo-Based Spectrum Sensing.

Zheng Wang, Ling Liu, Kezhi Li

IEEE Signal Process. Lett., 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

An online optimization algorithm for the real-time quantum state tomography.

Kun Zhang, Shuang Cong, Kezhi Li, Tao Wang

Quantum Inf. Process., 2020

Two-qubit state recovery from amplitude damping based on weak measurement.

Sajede Harraz, Shuang Cong, Kezhi Li

Quantum Inf. Process., 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

A novel hand-held interface supporting the self-management of Type 1 diabetes.

Robert Spence, Chukwuma Uduku, Kezhi Li, Nick Oliver, Pantelis Georgiou

CoRR, 2020

Blood Glucose Prediction for Type 1 Diabetes Using Generative Adversarial Networks.

Taiyu Zhu, Xi Yao, Kezhi Li, Pau Herrero, Pantelis Georgiou

Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

2019

Consensus-Based Cooperative Control for Multi-Platoon Under the Connected Vehicles Environment.

Yongfu Li, Chuancong Tang, Kezhi Li, Xiaozheng He, Srinivas Peeta, Yibing Wang

IEEE Trans. Intell. Transp. Syst., 2019

An Efficient and Fast Quantum State Estimator With Sparse Disturbance.

Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li

IEEE Trans. Cybern., 2019

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

Taiyu Zhu, Kezhi Li, Pantelis Georgiou

CoRR, 2019

A computational model for anti-cancer drug sensitivity prediction.

Zheming Zhao, Kezhi Li, Chris Toumazou, Melpomeni Kalofonou

Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2018

Convolutional Recurrent Neural Networks for Blood Glucose Prediction.

Kezhi Li, John Daniels, Pau Herrero Viñas, Chengyuan Liu, Pantelis Georgiou

CoRR, 2018

A Deep Learning Algorithm for Personalized Blood Glucose Prediction.

Taiyu Zhu, Kezhi Li, Pau Herrero, Jianwei Chen, Pantelis Georgiou

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.

Jianwei Chen, Kezhi Li, Pau Herrero, Taiyu Zhu, Pantelis Georgiou

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

Robust Visual Tracking Via Adaptive Structure-Enhanced Particle Filter.

Nan Song, Kezhi Li, Wei Chen

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A review of image reconstruction algorithms in electrical capacitance tomography.

Kezhi Li, Shuang Cong

Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017

Efficient reconstruction of density matrices for high dimensional quantum state tomography.

Jiaojiao Zhang, Kezhi Li, Shuang Cong, Haitao Wang

Signal Process., 2017

Hybrid reconstruction of quantum density matrix: when low-rank meets sparsity.

Kezhi Li, Kai Zheng, Jingbei Yang, Shuang Cong, Xiaomei Liu, Zhaokai Li

Quantum Inf. Process., 2017

Fast algorithm of high-dimensional quantum state estimation via low measurement rates.

Jiaojiao Zhang, Kezhi Li, Shuang Cong

Proceedings of the 11th Asian Control Conference, 2017

2016

Alternating strategies with internal ADMM for low-rank matrix reconstruction.

Kezhi Li, Martin Sundin, Cristian R. Rojas, Saikat Chatterjee, Magnus Jansson

Signal Process., 2016

An improved robust ADMM algorithm for quantum state tomography.

Kezhi Li, Hui Zhang, Sen Kuang, Fangfang Meng, Shuang Cong

Quantum Inf. Process., 2016

Energy-Aware Preferential Attachment Model for Wireless Sensor Networks with Improved Survivability.

Rufei Ma, Erwu Liu, Rui Wang, Zhengqing Zhang, Kezhi Li, Chi Harold Liu, Ping Wang, Tao Zhou

KSII Trans. Internet Inf. Syst., 2016

A Nonlinear Weighted Total Variation Image Reconstruction Algorithm for Electrical Capacitance Tomography.

Kezhi Li, Daniel Holland

CoRR, 2016

Piecewise sparse signal recovery via piecewise orthogonal matching pursuit.

Kezhi Li, Cristian R. Rojas, Tao Yang, Håkan Hjalmarsson, Karl Henrik Johansson, Shuang Cong

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Characteristics optimization via compressed sensing in quantum state estimation.

Kai Zheng, Kezhi Li, Shuang Cong

Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015

State of the art and prospects of structured sensing matrices in compressed sensing.

Kezhi Li, Shuang Cong

Frontiers Comput. Sci., 2015

A Brief Survey of Image Processing Algorithms in Electrical Capacitance Tomography.

Kezhi Li

CoRR, 2015

2014

Alternating Strategies Are Good For Low-Rank Matrix Reconstruction.

Kezhi Li, Martin Sundin, Cristian R. Rojas, Saikat Chatterjee, Magnus Jansson

CoRR, 2014

A Robust Compressive Quantum State Tomography Algorithm Using ADMM.

Kezhi Li, Shuang Cong

CoRR, 2014

An improved quantum state estimation algorithm via compressive sensing.

Shuang Cong, Hui Zhang, Kezhi Li

Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014

Piecewise Toeplitz matrices-based sensing for rank minimization.

Kezhi Li, Cristian R. Rojas, Saikat Chatterjee, Håkan Hjalmarsson

Proceedings of the 22nd European Signal Processing Conference, 2014

Finite-time road grade computation for a vehicle platoon.

Tao Yang, Ye Yuan, Kezhi Li, Jorge M. Gonçalves, Karl Henrik Johansson

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Convolutional Compressed Sensing Using Deterministic Sequences.

Kezhi Li, Lu Gan, Cong Ling

IEEE Trans. Signal Process., 2013

2012

Golay meets Hadamard: Golay-paired Hadamard matrices for fast compressed sensing.

Lu Gan, Kezhi Li, Cong Ling

Proceedings of the 2012 IEEE Information Theory Workshop, 2012

2011

Deterministic compressed-sensing matrices: Where Toeplitz meets Golay.

Kezhi Li, Cong Ling, Lu Gan

Proceedings of the IEEE International Conference on Acoustics, 2011

Optimal Control of Mixed-state Quantum Systems based on Lyapunov Method.

Shuang Cong, Yuanyuan Zhang, Kezhi Li

Proceedings of the BIOSIGNALS 2011, 2011