Optimal Control of Mixed-state Quantum Systems based on Lyapunov Method. - Shuang Cong; Yuanyuan Zhang; Kezhi Li (BIOSIGNALS, 2011)

Deterministic compressed-sensing matrices: Where Toeplitz meets Golay. - Kezhi Li; Cong Ling 001; Lu Gan 002 (ICASSP, 2011)

Golay meets Hadamard: Golay-paired Hadamard matrices for fast compressed sensing. - Lu Gan 002; Kezhi Li; Cong Ling 001 (ITW, 2012)

Convolutional Compressed Sensing Using Deterministic Sequences. - Kezhi Li; Lu Gan 002; Cong Ling 001 (IEEE Trans. Signal Process., 2013)

Finite-time road grade computation for a vehicle platoon. - Tao Yang 003; Ye Yuan 002; Kezhi Li; Jorge M. Gonçalves; Karl Henrik Johansson (CDC, 2014)

Piecewise Toeplitz matrices-based sensing for rank minimization. - Kezhi Li; Cristian R. Rojas; Saikat Chatterjee; Håkan Hjalmarsson (EUSIPCO, 2014)

An improved quantum state estimation algorithm via compressive sensing. - Shuang Cong; Hui Zhang; Kezhi Li (ROBIO, 2014)

A Robust Compressive Quantum State Tomography Algorithm Using ADMM. - Kezhi Li; Shuang Cong (CoRR, 2014)

Alternating Strategies Are Good For Low-Rank Matrix Reconstruction. - Kezhi Li; Martin Sundin; Cristian R. Rojas; Saikat Chatterjee; Magnus Jansson (CoRR, 2014)

A Brief Survey of Image Processing Algorithms in Electrical Capacitance Tomography. - Kezhi Li (CoRR, 2015)

State of the art and prospects of structured sensing matrices in compressed sensing. - Kezhi Li; Shuang Cong (Frontiers Comput. Sci., 2015)

Characteristics optimization via compressed sensing in quantum state estimation. - Kai Zheng 011; Kezhi Li; Shuang Cong (CCA, 2016)

Piecewise sparse signal recovery via piecewise orthogonal matching pursuit. - Kezhi Li; Cristian R. Rojas; Tao Yang 003; Håkan Hjalmarsson; Karl Henrik Johansson; Shuang Cong (ICASSP, 2016)

A Nonlinear Weighted Total Variation Image Reconstruction Algorithm for Electrical Capacitance Tomography. - Kezhi Li; Daniel Holland (CoRR, 2016)

Energy-Aware Preferential Attachment Model for Wireless Sensor Networks with Improved Survivability. - Rufei Ma; Erwu Liu; Rui Wang 001; Zhengqing Zhang; Kezhi Li; Chi Harold Liu; Ping Wang 004; Tao Zhou (KSII Trans. Internet Inf. Syst., 2016)

An improved robust ADMM algorithm for quantum state tomography. - Kezhi Li; Hui Zhang; Sen Kuang; Fangfang Meng; Shuang Cong (Quantum Inf. Process., 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)

Fast algorithm of high-dimensional quantum state estimation via low measurement rates. - Jiaojiao Zhang; Kezhi Li; Shuang Cong (ASCC, 2017)

Hybrid reconstruction of quantum density matrix: when low-rank meets sparsity. - Kezhi Li; Kai Zheng 011; Jingbei Yang; Shuang Cong; Xiaomei Liu; Zhaokai Li (Quantum Inf. Process., 2017)

Efficient reconstruction of density matrices for high dimensional quantum state tomography. - Jiaojiao Zhang; Kezhi Li; Shuang Cong; Haitao Wang 004 (Signal Process., 2017)

A review of image reconstruction algorithms in electrical capacitance tomography. - Kezhi Li; Shuang Cong (ICACI, 2018)

Robust Visual Tracking Via Adaptive Structure-Enhanced Particle Filter. - Nan Song; Kezhi Li; Wei Chen 016 (ICASSP, 2018)

Dilated Recurrent Neural Network for Short-time Prediction of Glucose Concentration. - Jianwei Chen; Kezhi Li; Pau Herrero; Taiyu Zhu; Pantelis Georgiou (KDH@IJCAI, 2018)

A Deep Learning Algorithm for Personalized Blood Glucose Prediction. - Taiyu Zhu; Kezhi Li; Pau Herrero; Jianwei Chen; Pantelis Georgiou (KDH@IJCAI, 2018)

Convolutional Recurrent Neural Networks for Blood Glucose Prediction. - Kezhi Li; John Daniels; Pau Herrero Viñas; Chengyuan Liu; Pantelis Georgiou (CoRR, 2018)

A computational model for anti-cancer drug sensitivity prediction. - Zheming Zhao; Kezhi Li; Chris Toumazou; Melpomeni Kalofonou (BioCAS, 2019)

A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning. - Taiyu Zhu; Kezhi Li; Pantelis Georgiou (CoRR, 2019)

An Efficient and Fast Quantum State Estimator With Sparse Disturbance. - Jiaojiao Zhang; Shuang Cong; Qing Ling 001; Kezhi Li (IEEE Trans. Cybern., 2019)

Consensus-Based Cooperative Control for Multi-Platoon Under the Connected Vehicles Environment. - Yongfu Li 001; Chuancong Tang; Kezhi Li; Xiaozheng He 001; Srinivas Peeta; Yibing Wang (IEEE Trans. Intell. Transp. Syst., 2019)

Blood Glucose Prediction for Type 1 Diabetes Using Generative Adversarial Networks. - Taiyu Zhu; Xi Yao; Kezhi Li; Pau Herrero; Pantelis Georgiou (KDH@ECAI, 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)

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)

Two-qubit state recovery from amplitude damping based on weak measurement. - Sajede Harraz; Shuang Cong; Kezhi Li (Quantum Inf. Process., 2020)

An online optimization algorithm for the real-time quantum state tomography. - Kun Zhang 028; Shuang Cong; Kezhi Li; Tao Wang 073 (Quantum Inf. Process., 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)

Dynamic Markov Chain Monte Carlo-Based Spectrum Sensing. - Zheng Wang 013; Ling Liu 003; Kezhi Li (IEEE Signal Process. Lett., 2020)

Quantum State Filter With Disturbance and Noise. - Jiaojiao Zhang; Shuang Cong; Qing Ling 001; Kezhi Li; Herschel Rabitz (IEEE Trans. Autom. Control., 2020)

Convolutional Recurrent Neural Networks for Glucose Prediction. - Kezhi Li; John Daniels; Chengyuan Liu; Pau Herrero; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 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)

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 (BioCAS, 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 (ISCAS, 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)

Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics. - Kun Qian 003; Liang Zhang 010; Kezhi Li; Juan Liu (Frontiers Digit. Health, 2021)

Learning Vector Quantization-Aided Detection for MIMO Systems. - Zheng Wang 013; Xiong Xu; Xiaodan Qiang; Kezhi Li (IEEE Commun. Lett., 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; et al. (J. Am. Medical Informatics Assoc., 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 002 (Open Syst. Inf. Dyn., 2021)

An efficient online estimation algorithm with measurement noise for time-varying quantum states. - Kun Zhang 028; Shuang Cong; Kezhi Li (Signal Process., 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)

Deep Learning for Diabetes: A Systematic Review. - Taiyu Zhu; Kezhi Li; Pau Herrero; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2021)

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)

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)

3D Compressed Spectrum Mapping With Sampling Locations Optimization in Spectrum-Heterogeneous Environment. - Feng Shen; Zheng Wang 013; Guoru Ding; Kezhi Li; Qihui Wu 001 (IEEE Trans. Wirel. Commun., 2022)

Edge-Based Temporal Fusion Transformer for Multi-Horizon Blood Glucose Prediction. - Taiyu Zhu; Tianrui Chen; Lei Kuang; Junming Zeng; Kezhi Li; Pantelis Georgiou (ISCAS, 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)

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)

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., 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 001 (Reliab. Eng. Syst. Saf., 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, 2023)

GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial Networks. - Taiyu Zhu; Kezhi Li; Pau Herrero; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2023)

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 (AIiH (1), 2024)

Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference Learning. - Thomas Frost; Kezhi Li; Steve Harris (ML4H@NeurIPS, 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)

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)

Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning. - Rui Sun; Zhipeng Wang 009; Hengrui Zhang; Ming Jiang; Yizhe Wen; Jiqun Zhang; Jiahao Sun; Shuoying Zhang; Erwu Liu; Kezhi Li (CoRR, 2024)

Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks. - Joseph Farrington; Samah Alimam; Martin Utley; Kezhi Li; Wai Keong Wong (CoRR, 2024)

Forehead or Headlights - At Which Height Should LiDARs be Mounted on the Vehicle? - Kezhi Li; Yeqiang Qian; Chunxiang Wang; Ming Yang 002 (IEEE Trans. Intell. Veh., 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., 2024)

Online estimated-based-state feedback control of n-qubit stochastic open quantum systems. - Shuang Cong; Zhixiang Dong; Jie Wen 006; Kezhi Li (Autom., 2025)

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 (Neural Networks, 2025)

Dynamic mortality prediction in critically Ill children during interhospital transports to PICUs using explainable AI. - Zhiqiang Huo; John Booth; Thomas Monks; Philip Knight; Liam Watson; Mark J. Peters; Christina Pagel; Padmanabhan Ramnarayan; Kezhi Li (npj Digit. Medicine, 2025)

DOMAC: Differentiable Optimization for High-Speed Multipliers and Multiply-Accumulators. - Chenhao Xue; Yi Ren; Jinwei Zhou; Kezhi Li; Chen Zhang 001; Yibo Lin; Lining Zhang; Qiang Xu 001; Guangyu Sun 003 (CoRR, 2025)

ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA. - Zhengyuan Shi; Zeju Li; Chengyu Ma; Yunhao Zhou; Ziyang Zheng; Jiawei Liu 006; Hongyang Pan; Lingfeng Zhou; Kezhi Li; Jiaying Zhu; Lingwei Yan; Zhiqiang He; et al. (CoRR, 2025)

Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative Verifier. - Jianyuan Zhong; Zeju Li; Zhijian Xu; Xiangyu Wen; Kezhi Li; Qiang Xu 001 (CoRR, 2025)

AMQA: An Adversarial Dataset for Benchmarking Bias of LLMs in Medicine and Healthcare. - Ying Xiao; Jie Huang; Ruijuan He; Jing Xiao; Mohammad Reza Mousavi 001; Yepang Liu 001; Kezhi Li; Zhenpeng Chen; Jie M. Zhang (CoRR, 2025)

Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism. - Ziyang Zheng; Kezhi Li; Zhengyuan Shi; Qiang Xu 001 (CoRR, 2025)

Going faster to see further: graphics processing unit-accelerated value iteration and simulation for perishable inventory control using JAX. - Joseph Farrington; Wai Keong Wong; Kezhi Li; Martin Utley (Ann. Oper. Res., 2025)

AC-Refiner: Efficient Arithmetic Circuit Optimization Using Conditional Diffusion Models. - Chenhao Xue; Kezhi Li; Jiaxing Zhang; Yi Ren; Zhengyuan Shi; Chen Zhang 001; Yibo Lin; Lining Zhang; Qiang Xu 001; Guangyu Sun 003 (CoRR, 2025)

Development and Evaluation of HopeBot: an LLM-based chatbot for structured and interactive PHQ-9 depression screening. - Zhijun Guo; Alvina Lai; Julia Ive; Alexandru Petcu; Yutong Wang; Luyuan Qi; Johan H. Thygesen; Kezhi Li (CoRR, 2025)

Multi-Horizon Glucose Prediction Across Populations With Deep Domain Generalization. - Taiyu Zhu; Ioannis Afentakis; Kezhi Li; Ryan Armiger; Neil Hill; Nick Oliver; Pantelis Georgiou (IEEE J. Biomed. Health Informatics, 2025)