Kezhi Li

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 55

Top Topics

State Estimation

Image Reconstruction

Top Venues

IEEE J. Biomed. Health Informatics

Quantum Inf. Process.

Signal Process.

Publications

Zhijun Guo, Alvina Grace Lai, Zhouyiyi Deng, Kezhi Li
Evaluating the Feasibility and Acceptability of a GPT-Based Chatbot for Depression Screening: A Mixed-Methods Study. AIiH (1) (2024)
Kezhi Li, Yeqiang Qian, Chunxiang Wang, Ming Yang
Forehead or Headlights - At Which Height Should LiDARs be Mounted on the Vehicle? IEEE Trans. Intell. Veh. 9 (1) (2024)
Zhijun Guo, Alvina Lai, Johan Hilge Thygesen, Joseph Farrington, Thomas Keen, Kezhi Li
Large Language Model for Mental Health: A Systematic Review. CoRR (2024)
Chengzhe Piao, Taiyu Zhu, Yu Wang, Stephanie E. Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach. CoRR (2024)
Taiyu Zhu, Lei Kuang, Chengzhe Piao, Junming Zeng, Kezhi Li, Pantelis Georgiou
Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge. IEEE Trans. Biomed. Circuits Syst. 18 (2) (2024)
Chengzhe Piao, Taiyu Zhu, Stephanie E. Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series. CoRR (2024)
Joseph Farrington, Kezhi Li, Wai Keong Wong, Martin Utley
Going faster to see further: GPU-accelerated value iteration and simulation for perishable inventory control using JAX. CoRR (2023)
Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou
GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial Networks. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Taiyu Zhu, Lei Kuang, John Daniels, Pau Herrero, Kezhi Li, Pantelis Georgiou
IoMT-Enabled Real-Time Blood Glucose Prediction With Deep Learning and Edge Computing. IEEE Internet Things J. 10 (5) (2023)
Taiyu Zhu, Tianrui Chen, Lei Kuang, Junming Zeng, Kezhi Li, Pantelis Georgiou
Edge-Based Temporal Fusion Transformer for Multi-Horizon Blood Glucose Prediction. ISCAS (2023)
Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou
Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning. IEEE Trans. Biomed. Eng. 70 (1) (2023)
Ying Wang, Xueke Zheng, Le Wang, Gavin Lu, Yixing Jia, Kezhi Li, Mian Li
Sensor fault detection of vehicle suspension systems based on transmissibility operators and Neyman-Pearson test. Reliab. Eng. Syst. Saf. 232 (2023)
Taiyu Zhu, Kezhi Li, Pantelis Georgiou
Offline Deep Reinforcement Learning and Off-Policy Evaluation for Personalized Basal Insulin Control in Type 1 Diabetes. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Zella King, Joseph Farrington, Martin Utley, Enoch Kung, Samer Elkhodair, Steve Harris, Richard Sekula, Jonathan Gillham, Kezhi Li, Sonya Crowe
Machine learning for real-time aggregated prediction of hospital admission for emergency patients. npj Digit. Medicine 5 (2022)
Feng Shen, Zheng Wang, Guoru Ding, Kezhi Li, Qihui Wu
3D Compressed Spectrum Mapping With Sampling Locations Optimization in Spectrum-Heterogeneous Environment. IEEE Trans. Wirel. Commun. 21 (1) (2022)
Taiyu Zhu, Chukwuma Uduku, Kezhi Li, Pau Herrero, Nick Oliver, Pantelis Georgiou
Enhancing self-management in type 1 diabetes with wearables and deep learning. npj Digit. Medicine 5 (2022)
Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou
Deep Learning for Diabetes: A Systematic Review. IEEE J. Biomed. Health Informatics 25 (7) (2021)
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
Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2. J. Am. Medical Informatics Assoc. 28 (4) (2021)
Kun Qian, Liang Zhang, Kezhi Li, Juan Liu
Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics. Frontiers Digit. Health 3 (2021)
Shahid Qamar, Shuang Cong, Kezhi Li, Zhixiang Dong, Feng Shuang
Nonlinear Optimal Feedback Control of the Two-Level Open Non-Markovian Stochastic Quantum System. Open Syst. Inf. Dyn. 28 (3) (2021)
Zheng Wang, Xiong Xu, Xiaodan Qiang, Kezhi Li
Learning Vector Quantization-Aided Detection for MIMO Systems. IEEE Commun. Lett. 25 (3) (2021)
Shuang Cong, Yaru Tang, Sajede Harraz, Kezhi Li, Jingbei Yang
On-line quantum state estimation using continuous weak measurement and compressed sensing. Sci. China Inf. Sci. 64 (8) (2021)
Kun Zhang, Shuang Cong, Kezhi Li
An efficient online estimation algorithm with measurement noise for time-varying quantum states. Signal Process. 180 (2021)
Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou
Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation. IEEE J. Biomed. Health Informatics 25 (4) (2021)
Taiyu Zhu, Lei Kuang, Kezhi Li, Junming Zeng, Pau Herrero, Pantelis Georgiou
Blood Glucose Prediction in Type 1 Diabetes Using Deep Learning on the Edge. ISCAS (2021)
Lei Kuang, Taiyu Zhu, Kezhi Li, John Daniels, Pau Herrero, Pantelis Georgiou
Live Demonstration: An IoT Wearable Device for Real-time Blood Glucose Prediction with Edge AI. BioCAS (2021)
Taiyu Zhu, Kezhi Li, Lei Kuang, Pau Herrero, Pantelis Georgiou
An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning. Sensors 20 (18) (2020)
Kezhi Li, John Daniels, Chengyuan Liu, Pau Herrero, Pantelis Georgiou
Convolutional Recurrent Neural Networks for Glucose Prediction. IEEE J. Biomed. Health Informatics 24 (2) (2020)
Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li, Herschel Rabitz
Quantum State Filter With Disturbance and Noise. IEEE Trans. Autom. Control. 65 (7) (2020)
Kezhi Li, Chengyuan Liu, Taiyu Zhu, Pau Herrero, Pantelis Georgiou
GluNet: A Deep Learning Framework for Accurate Glucose Forecasting. IEEE J. Biomed. Health Informatics 24 (2) (2020)
Sajede Harraz, Shuang Cong, Kezhi Li
Two-qubit state recovery from amplitude damping based on weak measurement. Quantum Inf. Process. 19 (8) (2020)
Zheng Wang, Ling Liu, Kezhi Li
Dynamic Markov Chain Monte Carlo-Based Spectrum Sensing. IEEE Signal Process. Lett. 27 (2020)
Taiyu Zhu, Xi Yao, Kezhi Li, Pau Herrero, Pantelis Georgiou
Blood Glucose Prediction for Type 1 Diabetes Using Generative Adversarial Networks. KDH@ECAI (2020)
Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation. CoRR (2020)
Kun Zhang, Shuang Cong, Kezhi Li, Tao Wang
An online optimization algorithm for the real-time quantum state tomography. Quantum Inf. Process. 19 (10) (2020)
Robert Spence, Chukwuma Uduku, Kezhi Li, Nick Oliver, Pantelis Georgiou
A novel hand-held interface supporting the self-management of Type 1 diabetes. CoRR (2020)
Taiyu Zhu, Kezhi Li, Jianwei Chen, Pau Herrero, Pantelis Georgiou
Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes. J. Heal. Informatics Res. 4 (3) (2020)
Taiyu Zhu, Kezhi Li, Pantelis Georgiou
A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning. CoRR (2019)
Zheming Zhao, Kezhi Li, Chris Toumazou, Melpomeni Kalofonou
A computational model for anti-cancer drug sensitivity prediction. BioCAS (2019)
Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li
An Efficient and Fast Quantum State Estimator With Sparse Disturbance. IEEE Trans. Cybern. 49 (7) (2019)
Yongfu Li, Chuancong Tang, Kezhi Li, Xiaozheng He, Srinivas Peeta, Yibing Wang
Consensus-Based Cooperative Control for Multi-Platoon Under the Connected Vehicles Environment. IEEE Trans. Intell. Transp. Syst. 20 (6) (2019)
Nan Song, Kezhi Li, Wei Chen
Robust Visual Tracking Via Adaptive Structure-Enhanced Particle Filter. ICASSP (2018)
Taiyu Zhu, Kezhi Li, Pau Herrero, Jianwei Chen, Pantelis Georgiou
A Deep Learning Algorithm for Personalized Blood Glucose Prediction. KHD@IJCAI (2018)
Jianwei Chen, Kezhi Li, Pau Herrero, Taiyu Zhu, Pantelis Georgiou
Dilated Recurrent Neural Network for Short-time Prediction of Glucose Concentration. KHD@IJCAI (2018)
Kezhi Li, John Daniels, Pau Herrero Viñas, Chengyuan Liu, Pantelis Georgiou
Convolutional Recurrent Neural Networks for Blood Glucose Prediction. CoRR (2018)
Kezhi Li, Shuang Cong
A review of image reconstruction algorithms in electrical capacitance tomography. ICACI (2018)
Kezhi Li, Kai Zheng, Jingbei Yang, Shuang Cong, Xiaomei Liu, Zhaokai Li
Hybrid reconstruction of quantum density matrix: when low-rank meets sparsity. Quantum Inf. Process. 16 (12) (2017)
Jiaojiao Zhang, Kezhi Li, Shuang Cong, Haitao Wang
Efficient reconstruction of density matrices for high dimensional quantum state tomography. Signal Process. 139 (2017)
Jiaojiao Zhang, Kezhi Li, Shuang Cong
Fast algorithm of high-dimensional quantum state estimation via low measurement rates. ASCC (2017)
Kezhi Li, Daniel Holland
A Nonlinear Weighted Total Variation Image Reconstruction Algorithm for Electrical Capacitance Tomography. CoRR (2016)
Kezhi Li, Martin Sundin, Cristian R. Rojas, Saikat Chatterjee, Magnus Jansson
Alternating strategies with internal ADMM for low-rank matrix reconstruction. Signal Process. 121 (2016)
Kezhi Li, Hui Zhang, Sen Kuang, Fangfang Meng, Shuang Cong
An improved robust ADMM algorithm for quantum state tomography. Quantum Inf. Process. 15 (6) (2016)
Kai Zheng, Kezhi Li, Shuang Cong
Characteristics optimization via compressed sensing in quantum state estimation. CCA (2016)
Kezhi Li, Cristian R. Rojas, Tao Yang, Håkan Hjalmarsson, Karl Henrik Johansson, Shuang Cong
Piecewise sparse signal recovery via piecewise orthogonal matching pursuit. ICASSP (2016)
Rufei Ma, Erwu Liu, Rui Wang, Zhengqing Zhang, Kezhi Li, Chi Harold Liu, Ping Wang, Tao Zhou
Energy-Aware Preferential Attachment Model for Wireless Sensor Networks with Improved Survivability. KSII Trans. Internet Inf. Syst. 10 (7) (2016)
Kezhi Li, Shuang Cong
State of the art and prospects of structured sensing matrices in compressed sensing. Frontiers Comput. Sci. 9 (5) (2015)
Kezhi Li
A Brief Survey of Image Processing Algorithms in Electrical Capacitance Tomography. CoRR (2015)
Kezhi Li, Cristian R. Rojas, Saikat Chatterjee, Håkan Hjalmarsson
Piecewise Toeplitz Matrices-based Sensing for Rank Minimization. CoRR (2014)
Kezhi Li, Shuang Cong
State of the Art and Prospects of Structured Sensing Matrices in Compressed Sensing. CoRR (2014)
Shuang Cong, Hui Zhang, Kezhi Li
An improved quantum state estimation algorithm via compressive sensing. ROBIO (2014)
Kezhi Li, Martin Sundin, Cristian R. Rojas, Saikat Chatterjee, Magnus Jansson
Alternating Strategies Are Good For Low-Rank Matrix Reconstruction. CoRR (2014)
Kezhi Li, Cristian R. Rojas, Saikat Chatterjee, Håkan Hjalmarsson
Piecewise Toeplitz matrices-based sensing for rank minimization. EUSIPCO (2014)
Kezhi Li, Shuang Cong
A Robust Compressive Quantum State Tomography Algorithm Using ADMM. CoRR (2014)
Tao Yang, Ye Yuan, Kezhi Li, Jorge M. Gonçalves, Karl Henrik Johansson
Finite-time road grade computation for a vehicle platoon. CDC (2014)
Kezhi Li, Lu Gan, Cong Ling
Convolutional Compressed Sensing Using Deterministic Sequences. IEEE Trans. Signal Process. 61 (3) (2013)
Lu Gan, Kezhi Li, Cong Ling
Golay meets Hadamard: Golay-paired Hadamard matrices for fast compressed sensing. ITW (2012)
Kezhi Li, Cong Ling, Lu Gan
Deterministic compressed-sensing matrices: Where Toeplitz meets Golay. ICASSP (2011)
Shuang Cong, Yuanyuan Zhang, Kezhi Li
Optimal Control of Mixed-state Quantum Systems based on Lyapunov Method. BIOSIGNALS (2011)