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2020 – today
- 2025
[j36]Shuang Cong, Zhixiang Dong, Jie Wen, Kezhi Li:
Online estimated-based-state feedback control of n-qubit stochastic open quantum systems. Autom. 171: 111883 (2025)- 2024
- [j35]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): 236-246 (2024) - [j34]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): 2564-2575 (2024) - [c19]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: 249-263 - [i15]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 abs/2402.16230 (2024) - [i14]Zhijun Guo, Alvina Lai, Johan Hilge Thygesen, Joseph Farrington, Thomas Keen, Kezhi Li:
Large Language Model for Mental Health: A Systematic Review. CoRR abs/2403.15401 (2024) - [i13]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 abs/2406.15346 (2024) - [i12]Rui Sun, Zhipeng Wang, Hengrui Zhang, Ming Jiang, Yizhe Wen, Jiqun Zhang, Jiahao Sun, Shuoying Zhang, Erwu Liu, Kezhi Li:
Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning. CoRR abs/2410.17933 (2024) - 2023
- [j33]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): 3706-3719 (2023) - [j32]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: 109067 (2023) - [j31]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): 193-204 (2023) - [j30]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): 5087-5098 (2023) - [j29]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): 5122-5133 (2023) - [c18]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: 1-5 - [i11]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 abs/2303.10672 (2023) - 2022
- [j28]Zella King, Joseph Farrington, Martin Utley, Enoch Kung, Samer Elkhodair, Steve K. 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) - [j27]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) - [j26]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): 326-338 (2022) - 2021
- [j25]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) - [j24]Kun Qian, Liang Zhang, Kezhi Li, Juan Liu:
Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics. Frontiers Digit. Health 3: 763109 (2021) - [j23]Zheng Wang, Xiong Xu, Xiaodan Qiang, Kezhi Li:
Learning Vector Quantization-Aided Detection for MIMO Systems. IEEE Commun. Lett. 25(3): 874-878 (2021) - [j22]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): 791-800 (2021) - [j21]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): 2150013:1-2150013:26 (2021) - [j20]Kun Zhang, Shuang Cong, Kezhi Li:
An efficient online estimation algorithm with measurement noise for time-varying quantum states. Signal Process. 180: 107887 (2021) - [j19]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): 1223-1232 (2021) - [j18]Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou:
Deep Learning for Diabetes: A Systematic Review. IEEE J. Biomed. Health Informatics 25(7): 2744-2757 (2021) - [c17]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: 1 - [c16]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: 1-5 - 2020
- [j17]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): 308-324 (2020) - [j16]Sajede Harraz, Shuang Cong, Kezhi Li:
Two-qubit state recovery from amplitude damping based on weak measurement. Quantum Inf. Process. 19(8): 250 (2020) - [j15]Kun Zhang, Shuang Cong, Kezhi Li, Tao Wang:
An online optimization algorithm for the real-time quantum state tomography. Quantum Inf. Process. 19(10): 361 (2020) - [j14]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): 5058 (2020) - [j13]Zheng Wang, Ling Liu, Kezhi Li:
Dynamic Markov Chain Monte Carlo-Based Spectrum Sensing. IEEE Signal Process. Lett. 27: 1380-1384 (2020) - [j12]Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li, Herschel Rabitz:
Quantum State Filter With Disturbance and Noise. IEEE Trans. Autom. Control. 65(7): 2856-2866 (2020) - [j11]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): 414-423 (2020) - [j10]Kezhi Li, John Daniels, Chengyuan Liu, Pau Herrero, Pantelis Georgiou:
Convolutional Recurrent Neural Networks for Glucose Prediction. IEEE J. Biomed. Health Informatics 24(2): 603-613 (2020) - [c15]Taiyu Zhu, Xi Yao, Kezhi Li, Pau Herrero, Pantelis Georgiou:
Blood Glucose Prediction for Type 1 Diabetes Using Generative Adversarial Networks. KDH@ECAI 2020: 90-94 - [i10]Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou:
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation. CoRR abs/2005.09059 (2020) - [i9]Robert Spence, Chukwuma Uduku, Kezhi Li, Nick Oliver, Pantelis Georgiou:
A novel hand-held interface supporting the self-management of Type 1 diabetes. CoRR abs/2008.03550 (2020)
2010 – 2019
- 2019
- [j9]Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li:
An Efficient and Fast Quantum State Estimator With Sparse Disturbance. IEEE Trans. Cybern. 49(7): 2546-2555 (2019) - [j8]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): 2220-2229 (2019) - [c14]Zheming Zhao, Kezhi Li, Chris Toumazou, Melpomeni Kalofonou:
A computational model for anti-cancer drug sensitivity prediction. BioCAS 2019: 1-4 - [i8]Taiyu Zhu, Kezhi Li, Pantelis Georgiou:
A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning. CoRR abs/1910.04059 (2019) - 2018
- [c13]Kezhi Li, Shuang Cong:
A review of image reconstruction algorithms in electrical capacitance tomography. ICACI 2018: 128-133 - [c12]Nan Song, Kezhi Li, Wei Chen:
Robust Visual Tracking Via Adaptive Structure-Enhanced Particle Filter. ICASSP 2018: 1578-1582 - [c11]Taiyu Zhu, Kezhi Li, Pau Herrero, Jianwei Chen, Pantelis Georgiou:
A Deep Learning Algorithm for Personalized Blood Glucose Prediction. KDH@IJCAI 2018: 64-78 - [c10]Jianwei Chen, Kezhi Li, Pau Herrero, Taiyu Zhu, Pantelis Georgiou:
Dilated Recurrent Neural Network for Short-time Prediction of Glucose Concentration. KDH@IJCAI 2018: 69-73 - [i7]Kezhi Li, John Daniels, Pau Herrero Viñas, Chengyuan Liu, Pantelis Georgiou:
Convolutional Recurrent Neural Networks for Blood Glucose Prediction. CoRR abs/1807.03043 (2018) - 2017
- [j7]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): 299 (2017) - [j6]Jiaojiao Zhang, Kezhi Li, Shuang Cong, Haitao Wang:
Efficient reconstruction of density matrices for high dimensional quantum state tomography. Signal Process. 139: 136-142 (2017) - [c9]Jiaojiao Zhang, Kezhi Li, Shuang Cong:
Fast algorithm of high-dimensional quantum state estimation via low measurement rates. ASCC 2017: 2558-2562 - 2016
- [j5]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): 3066-3079 (2016) - [j4]Kezhi Li, Hui Zhang, Sen Kuang, Fangfang Meng, Shuang Cong:
An improved robust ADMM algorithm for quantum state tomography. Quantum Inf. Process. 15(6): 2343-2358 (2016) - [j3]Kezhi Li, Martin Sundin, Cristian R. Rojas, Saikat Chatterjee, Magnus Jansson:
Alternating strategies with internal ADMM for low-rank matrix reconstruction. Signal Process. 121: 153-159 (2016) - [c8]Kai Zheng, Kezhi Li, Shuang Cong:
Characteristics optimization via compressed sensing in quantum state estimation. CCA 2016: 948-953 - [c7]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: 4608-4612 - [i6]Kezhi Li, Daniel Holland:
A Nonlinear Weighted Total Variation Image Reconstruction Algorithm for Electrical Capacitance Tomography. CoRR abs/1603.00816 (2016) - 2015
- [j2]Kezhi Li, Shuang Cong:
State of the art and prospects of structured sensing matrices in compressed sensing. Frontiers Comput. Sci. 9(5): 665-677 (2015) - [i5]Kezhi Li:
A Brief Survey of Image Processing Algorithms in Electrical Capacitance Tomography. CoRR abs/1510.04585 (2015) - 2014
- [c6]Tao Yang, Ye Yuan, Kezhi Li, Jorge M. Gonçalves, Karl Henrik Johansson:
Finite-time road grade computation for a vehicle platoon. CDC 2014: 6105-6110 - [c5]Kezhi Li, Cristian R. Rojas, Saikat Chatterjee, Håkan Hjalmarsson:
Piecewise Toeplitz matrices-based sensing for rank minimization. EUSIPCO 2014: 1836-1840 - [c4]Shuang Cong, Hui Zhang, Kezhi Li:
An improved quantum state estimation algorithm via compressive sensing. ROBIO 2014: 2338-2343 - [i4]Kezhi Li, Shuang Cong:
A Robust Compressive Quantum State Tomography Algorithm Using ADMM. CoRR abs/1401.6533 (2014) - [i3]Kezhi Li, Cristian R. Rojas, Saikat Chatterjee, Håkan Hjalmarsson:
Piecewise Toeplitz Matrices-based Sensing for Rank Minimization. CoRR abs/1406.0187 (2014) - [i2]Kezhi Li, Martin Sundin, Cristian R. Rojas, Saikat Chatterjee, Magnus Jansson:
Alternating Strategies Are Good For Low-Rank Matrix Reconstruction. CoRR abs/1407.3410 (2014) - [i1]Kezhi Li, Shuang Cong:
State of the Art and Prospects of Structured Sensing Matrices in Compressed Sensing. CoRR abs/1408.1391 (2014) - 2013
- [j1]Kezhi Li, Lu Gan, Cong Ling:
Convolutional Compressed Sensing Using Deterministic Sequences. IEEE Trans. Signal Process. 61(3): 740-752 (2013) - 2012
- [c3]Lu Gan, Kezhi Li, Cong Ling:
Golay meets Hadamard: Golay-paired Hadamard matrices for fast compressed sensing. ITW 2012: 637-641 - 2011
- [c2]Shuang Cong, Yuanyuan Zhang, Kezhi Li:
Optimal Control of Mixed-state Quantum Systems based on Lyapunov Method. BIOSIGNALS 2011: 22-30 - [c1]Kezhi Li, Cong Ling, Lu Gan:
Deterministic compressed-sensing matrices: Where Toeplitz meets Golay. ICASSP 2011: 3748-3751
Coauthor Index
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