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Kezhi Li
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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
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
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
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
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
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
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
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
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
Machine learning for real-time aggregated prediction of hospital admission for emergency patients. npj Digit. Medicine 5 (2022) - [j27]Taiyu Zhu
Enhancing self-management in type 1 diabetes with wearables and deep learning. npj Digit. Medicine 5 (2022) - [j26]Feng Shen
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
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
Learning Vector Quantization-Aided Detection for MIMO Systems. IEEE Commun. Lett. 25(3): 874-878 (2021) - [j22]Honghan Wu
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
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
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
Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes. J. Heal. Informatics Res. 4(3): 308-324 (2020) - [j16]Sajede Harraz
Two-qubit state recovery from amplitude damping based on weak measurement. Quantum Inf. Process. 19(8): 250 (2020) - [j15]Kun Zhang, Shuang Cong
An online optimization algorithm for the real-time quantum state tomography. Quantum Inf. Process. 19(10): 361 (2020) - [j14]Taiyu Zhu
An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning. Sensors 20(18): 5058 (2020) - [j13]Zheng Wang
Dynamic Markov Chain Monte Carlo-Based Spectrum Sensing. IEEE Signal Process. Lett. 27: 1380-1384 (2020) - [j12]Jiaojiao Zhang
Quantum State Filter With Disturbance and Noise. IEEE Trans. Autom. Control. 65(7): 2856-2866 (2020) - [j11]Kezhi Li
GluNet: A Deep Learning Framework for Accurate Glucose Forecasting. IEEE J. Biomed. Health Informatics 24(2): 414-423 (2020) - [j10]Kezhi Li
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
An Efficient and Fast Quantum State Estimator With Sparse Disturbance. IEEE Trans. Cybern. 49(7): 2546-2555 (2019) - [j8]Yongfu Li
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
Hybrid reconstruction of quantum density matrix: when low-rank meets sparsity. Quantum Inf. Process. 16(12): 299 (2017) - [j6]Jiaojiao Zhang
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
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
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
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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last updated on 2024-11-28 20:33 CET by the dblp team
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