Kezhi Li

93 papers B 1C 3Misc 3Journal 70Unranked 16
YearRankTypeTitle / Venue / Authors
2026 — conf
AC-Refiner: Efficient Arithmetic Circuit Optimization Using Conditional Diffusion Models.
ASP-DAC
Chenhao Xue, Kezhi Li, Jiaxing Zhang, Yi Ren, Zhengyuan Shi, Chen Zhang, Yibo Lin, Lining Zhang, Qiang Xu, Guangyu Sun
2026 J jnl
Evaluation of trajectory analysis for disease risk assessment: a scoping review.
J. Am. Medical Informatics Assoc.
Freya Pollington, Spiros C. Denaxas, Kezhi Li, Johan Hilge Thygesen, Georgios Lyratzopoulos, Becky White
2026 J jnl
FormalRTL: Verified RTL Synthesis at Scale.
CoRR
Kezhi Li, Min Li, Xiangyu Wen, Shibo Zhao, Jieying Wu, Junhua Huang, Qiang Xu
2026 J jnl
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach.
IEEE J. Biomed. Health Informatics
Chengzhe Piao, Taiyu Zhu, Yu Wang, Stephanie E. Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li
2025 J jnl
AC-Refiner: Efficient Arithmetic Circuit Optimization Using Conditional Diffusion Models.
CoRR
Chenhao Xue, Kezhi Li, Jiaxing Zhang, Yi Ren, Zhengyuan Shi, Chen Zhang, Yibo Lin, Lining Zhang, Qiang Xu, Guangyu Sun
2025 J jnl
AMQA: An Adversarial Dataset for Benchmarking Bias of LLMs in Medicine and Healthcare.
CoRR
Ying Xiao, Jie Huang, Ruijuan He, Jing Xiao, Mohammad Reza Mousavi, Yepang Liu, Kezhi Li, Zhenpeng Chen, Jie M. Zhang
2025 J jnl
DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research.
Data
Louis J. M. Aslett, Andreea Avramescu, Nicholas Bakewell, Isabel Birds, Louise Bowler, Michael P. J. Camilleri, Sheng-Chia Chung, David A. Clifton, Samuel N. Cohen, Nathan Constantine-Cooke, Eric G. Daub, Shaun M. Davidson, Spiros C. Denaxas, Karla Diaz-Ordaz, Richard Feltbower, Suzy Gallier, Stephen Gardiner, Francesca Gasperoni, Robert J. B. Goudie, Rebecca E. Green, Marlous S. Hall, Chris Holmes, John R. Hurst, Mark M. Iles, João Jorge, Emma Karoune, Ruth H. Keogh, Ruairidh King, Ruth King, Paul D. W. Kirk, Roman Klapaukh, Samaneh Kouchaki, Alvina Grace Lai, Nathan Lea, Clemence Leyrat, Kezhi Li, Watjana Lilaonitkul, Huiqi Y. Lu, Terry Lyons, Ann-Marie Mallon, Andrew A. Manderson, Nicolò Margaritella, Joshua Matteson, Sam Morley, Hannah Nicholls, Martin T. O'Reilly, Christina Pagel, Edward Palmer, Jack Roberts, Timothy J. Roberts, David S. Robertson, James Robinson, Patrick Rockenschaub, Roy A. Ruddle, Elizabeth Sapey, Luis Santos, Andrew A. S. Soltan, Fang Gao-Smith, Colin Starr, Oliver Strickson, Li Su, Mia S. Tackney, Johan Hilge Thygesen, Ana Torralbo, Alice M. Turner, Catalina A. Vallejos, Chenyang Wang, Kirstie J. Whitaker, Tony Whitehouse, David R. Westhead, Wai Keong Wong, Yue Wu, Lingyi Yang, Xiaoxu Zou
2025 J jnl
DOMAC: Differentiable Optimization for High-Speed Multipliers and Multiply-Accumulators.
CoRR
Chenhao Xue, Yi Ren, Jinwei Zhou, Kezhi Li, Chen Zhang, Yibo Lin, Lining Zhang, Qiang Xu, Guangyu Sun
2025 J jnl
Development and Evaluation of HopeBot: an LLM-based chatbot for structured and interactive PHQ-9 depression screening.
CoRR
Zhijun Guo, Alvina Lai, Julia Ive, Alexandru Petcu, Yutong Wang, Luyuan Qi, Johan Hilge Thygesen, Kezhi Li
2025 J jnl
Dynamic mortality prediction in critically Ill children during interhospital transports to PICUs using explainable AI.
npj Digit. Medicine
Zhiqiang Huo, John Booth, Thomas Monks, Philip Knight, Liam Watson, Mark J. Peters, Christina Pagel, Padmanabhan Ramnarayan, Kezhi Li
2025 — conf
Enhancement of UFLD by Improving Global Dependencies.
VTC2025-Fall
Jiye Yang, Kezhi Li, Bijie Yang, Yuanjian Zhang, Chengyuan Liu
2025 J jnl
ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA.
CoRR
Zhengyuan Shi, Zeju Li, Chengyu Ma, Yunhao Zhou, Ziyang Zheng, Jiawei Liu, Hongyang Pan, Lingfeng Zhou, Kezhi Li, Jiaying Zhu, Lingwei Yan, Zhiqiang He, Chenhao Xue, Wentao Jiang, Fan Yang, Guangyu Sun, Xiaoyan Yang, Gang Chen, Chuan Shi, Zhufei Chu, Jun Yang, Qiang Xu
2025 J jnl
Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism.
CoRR
Ziyang Zheng, Kezhi Li, Zhengyuan Shi, Qiang Xu
2025 J jnl
GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series.
Neural Networks
Chengzhe Piao, Taiyu Zhu, Stephanie E. Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li
2025 J jnl
Game-Theoretic Incentive Mechanism for Blockchain-Based Federated Learning.
IEEE Trans. Mob. Comput.
Wenzheng Tang, Erwu Liu, Wei Ni, Xinyu Qu, Butian Huang, Kezhi Li, Dusit Niyato, Abbas Jamalipour
2025 J jnl
Going faster to see further: graphics processing unit-accelerated value iteration and simulation for perishable inventory control using JAX.
Ann. Oper. Res.
Joseph Farrington, Wai Keong Wong, Kezhi Li, Martin Utley
2025 J jnl
MDPax: GPU-accelerated MDP solvers in Python with JAX.
J. Open Source Softw.
Joseph Farrington, Wai Keong Wong, Kezhi Li, Martin Utley
2025 J jnl
Multi-Horizon Glucose Prediction Across Populations With Deep Domain Generalization.
IEEE J. Biomed. Health Informatics
Taiyu Zhu, Ioannis Afentakis, Kezhi Li, Ryan Armiger, Neil Hill, Nick Oliver, Pantelis Georgiou
2025 J jnl
Online estimated-based-state feedback control of n-qubit stochastic open quantum systems.
Autom.
Shuang Cong, Zhixiang Dong, Jie Wen, Kezhi Li
2025 — conf
Real-Time Prediction of Emergency Department Admissions Using Machine Learning with Digital Twins.
ICMHI
Yuxin Wang, Kezhi Li
2025 J jnl
Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative Verifier.
CoRR
Jianyuan Zhong, Zeju Li, Zhijian Xu, Xiangyu Wen, Kezhi Li, Qiang Xu
2024 — conf
Evaluating the Feasibility and Acceptability of a GPT-Based Chatbot for Depression Screening: A Mixed-Methods Study.
AIiH (1)
Zhijun Guo, Alvina Grace Lai, Zhouyiyi Deng, Kezhi Li
2024 J jnl
Forehead or Headlights - At Which Height Should LiDARs be Mounted on the Vehicle?
IEEE Trans. Intell. Veh.
Kezhi Li, Yeqiang Qian, Chunxiang Wang, Ming Yang
2024 J jnl
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series.
CoRR
Chengzhe Piao, Taiyu Zhu, Stephanie E. Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li
2024 J jnl
Large Language Model for Mental Health: A Systematic Review.
CoRR
Zhijun Guo, Alvina Lai, Johan Hilge Thygesen, Joseph Farrington, Thomas Keen, Kezhi Li
2024 J jnl
Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks.
CoRR
Joseph Farrington, Samah Alimam, Martin Utley, Kezhi Li, Wai Keong Wong
2024 J jnl
Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning.
CoRR
Rui Sun, Zhipeng Wang, Hengrui Zhang, Ming Jiang, Yizhe Wen, Jiqun Zhang, Jiahao Sun, Shuoying Zhang, Erwu Liu, Kezhi Li
2024 J jnl
Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge.
IEEE Trans. Biomed. Circuits Syst.
Taiyu Zhu, Lei Kuang, Chengzhe Piao, Junming Zeng, Kezhi Li, Pantelis Georgiou
2024 J jnl
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach.
CoRR
Chengzhe Piao, Taiyu Zhu, Yu Wang, Stephanie E. Baldeweg, Paul Taylor, Pantelis Georgiou, Jiahao Sun, Jun Wang, Kezhi Li
2024 — conf
Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference Learning.
ML4H@NeurIPS
Thomas Frost, Kezhi Li, Steve Harris
2024 J jnl
Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference Learning.
CoRR
Thomas Frost, Kezhi Li, Steve Harris
2023 C conf
Edge-Based Temporal Fusion Transformer for Multi-Horizon Blood Glucose Prediction.
ISCAS
Taiyu Zhu, Tianrui Chen, Lei Kuang, Junming Zeng, Kezhi Li, Pantelis Georgiou
2023 J jnl
GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial Networks.
IEEE J. Biomed. Health Informatics
Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou
2023 J jnl
Going faster to see further: GPU-accelerated value iteration and simulation for perishable inventory control using JAX.
CoRR
Joseph Farrington, Kezhi Li, Wai Keong Wong, Martin Utley
2023 J jnl
IoMT-Enabled Real-Time Blood Glucose Prediction With Deep Learning and Edge Computing.
IEEE Internet Things J.
Taiyu Zhu, Lei Kuang, John Daniels, Pau Herrero, Kezhi Li, Pantelis Georgiou
2023 J jnl
Offline Deep Reinforcement Learning and Off-Policy Evaluation for Personalized Basal Insulin Control in Type 1 Diabetes.
IEEE J. Biomed. Health Informatics
Taiyu Zhu, Kezhi Li, Pantelis Georgiou
2023 J jnl
Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning.
IEEE Trans. Biomed. Eng.
Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou
2023 J jnl
Sensor fault detection of vehicle suspension systems based on transmissibility operators and Neyman-Pearson test.
Reliab. Eng. Syst. Saf.
Ying Wang, Xueke Zheng, Le Wang, Gavin Lu, Yixing Jia, Kezhi Li, Mian Li
2022 J jnl
3D Compressed Spectrum Mapping With Sampling Locations Optimization in Spectrum-Heterogeneous Environment.
IEEE Trans. Wirel. Commun.
Feng Shen, Zheng Wang, Guoru Ding, Kezhi Li, Qihui Wu
2022 J jnl
Enhancing self-management in type 1 diabetes with wearables and deep learning.
npj Digit. Medicine
Taiyu Zhu, Chukwuma Uduku, Kezhi Li, Pau Herrero, Nick Oliver, Pantelis Georgiou
2022 J jnl
Machine learning for real-time aggregated prediction of hospital admission for emergency patients.
npj Digit. Medicine
Zella King, Joseph Farrington, Martin Utley, Enoch Kung, Samer Elkhodair, Steve K. Harris, Richard Sekula, Jonathan Gillham, Kezhi Li, Sonya Crowe
2021 J jnl
An efficient online estimation algorithm with measurement noise for time-varying quantum states.
Signal Process.
Kun Zhang, Shuang Cong, Kezhi Li
2021 J jnl
Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation.
IEEE J. Biomed. Health Informatics
Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou
2021 C conf
Blood Glucose Prediction in Type 1 Diabetes Using Deep Learning on the Edge.
ISCAS
Taiyu Zhu, Lei Kuang, Kezhi Li, Junming Zeng, Pau Herrero, Pantelis Georgiou
2021 J jnl
Deep Learning for Diabetes: A Systematic Review.
IEEE J. Biomed. Health Informatics
Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou
2021 J jnl
Editorial: Machine Learning for Non/Less-Invasive Methods in Health Informatics.
Frontiers Digit. Health
Kun Qian, Liang Zhang, Kezhi Li, Juan Liu
2021 J jnl
Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2.
J. Am. Medical Informatics Assoc.
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
2021 J jnl
Learning Vector Quantization-Aided Detection for MIMO Systems.
IEEE Commun. Lett.
Zheng Wang, Xiong Xu, Xiaodan Qiang, Kezhi Li
2021 — conf
Live Demonstration: An IoT Wearable Device for Real-time Blood Glucose Prediction with Edge AI.
BioCAS
Lei Kuang, Taiyu Zhu, Kezhi Li, John Daniels, Pau Herrero, Pantelis Georgiou
2021 J jnl
Nonlinear Optimal Feedback Control of the Two-Level Open Non-Markovian Stochastic Quantum System.
Open Syst. Inf. Dyn.
Shahid Qamar, Shuang Cong, Kezhi Li, Zhixiang Dong, Feng Shuang
2021 J jnl
On-line quantum state estimation using continuous weak measurement and compressed sensing.
Sci. China Inf. Sci.
Shuang Cong, Yaru Tang, Sajede Harraz, Kezhi Li, Jingbei Yang
2020 J jnl
A novel hand-held interface supporting the self-management of Type 1 diabetes.
CoRR
Robert Spence, Chukwuma Uduku, Kezhi Li, Nick Oliver, Pantelis Georgiou
2020 J jnl
An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning.
Sensors
Taiyu Zhu, Kezhi Li, Lei Kuang, Pau Herrero, Pantelis Georgiou
2020 J jnl
An online optimization algorithm for the real-time quantum state tomography.
Quantum Inf. Process.
Kun Zhang, Shuang Cong, Kezhi Li, Tao Wang
2020 J jnl
Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation.
CoRR
Taiyu Zhu, Kezhi Li, Pau Herrero, Pantelis Georgiou
2020 — conf
Blood Glucose Prediction for Type 1 Diabetes Using Generative Adversarial Networks.
KDH@ECAI
Taiyu Zhu, Xi Yao, Kezhi Li, Pau Herrero, Pantelis Georgiou
2020 J jnl
Convolutional Recurrent Neural Networks for Glucose Prediction.
IEEE J. Biomed. Health Informatics
Kezhi Li, John Daniels, Chengyuan Liu, Pau Herrero, Pantelis Georgiou
2020 J jnl
Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes.
J. Heal. Informatics Res.
Taiyu Zhu, Kezhi Li, Jianwei Chen, Pau Herrero, Pantelis Georgiou
2020 J jnl
Dynamic Markov Chain Monte Carlo-Based Spectrum Sensing.
IEEE Signal Process. Lett.
Zheng Wang, Ling Liu, Kezhi Li
2020 J jnl
GluNet: A Deep Learning Framework for Accurate Glucose Forecasting.
IEEE J. Biomed. Health Informatics
Kezhi Li, Chengyuan Liu, Taiyu Zhu, Pau Herrero, Pantelis Georgiou
2020 J jnl
Quantum State Filter With Disturbance and Noise.
IEEE Trans. Autom. Control.
Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li, Herschel Rabitz
2020 J jnl
Two-qubit state recovery from amplitude damping based on weak measurement.
Quantum Inf. Process.
Sajede Harraz, Shuang Cong, Kezhi Li
2019 J jnl
A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning.
CoRR
Taiyu Zhu, Kezhi Li, Pantelis Georgiou
2019 — conf
A computational model for anti-cancer drug sensitivity prediction.
BioCAS
Zheming Zhao, Kezhi Li, Chris Toumazou, Melpomeni Kalofonou
2019 J jnl
An Efficient and Fast Quantum State Estimator With Sparse Disturbance.
IEEE Trans. Cybern.
Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li
2019 J jnl
Consensus-Based Cooperative Control for Multi-Platoon Under the Connected Vehicles Environment.
IEEE Trans. Intell. Transp. Syst.
Yongfu Li, Chuancong Tang, Kezhi Li, Xiaozheng He, Srinivas Peeta, Yibing Wang
2018 — conf
A Deep Learning Algorithm for Personalized Blood Glucose Prediction.
KDH@IJCAI
Taiyu Zhu, Kezhi Li, Pau Herrero, Jianwei Chen, Pantelis Georgiou
2018 — conf
A review of image reconstruction algorithms in electrical capacitance tomography.
ICACI
Kezhi Li, Shuang Cong
2018 J jnl
Convolutional Recurrent Neural Networks for Blood Glucose Prediction.
CoRR
Kezhi Li, John Daniels, Pau Herrero Viñas, Chengyuan Liu, Pantelis Georgiou
2018 — conf
Dilated Recurrent Neural Network for Short-time Prediction of Glucose Concentration.
KDH@IJCAI
Jianwei Chen, Kezhi Li, Pau Herrero, Taiyu Zhu, Pantelis Georgiou
2018 Misc conf
Robust Visual Tracking Via Adaptive Structure-Enhanced Particle Filter.
ICASSP
Nan Song, Kezhi Li, Wei Chen
2017 J jnl
Efficient reconstruction of density matrices for high dimensional quantum state tomography.
Signal Process.
Jiaojiao Zhang, Kezhi Li, Shuang Cong, Haitao Wang
2017 — conf
Fast algorithm of high-dimensional quantum state estimation via low measurement rates.
ASCC
Jiaojiao Zhang, Kezhi Li, Shuang Cong
2017 J jnl
Hybrid reconstruction of quantum density matrix: when low-rank meets sparsity.
Quantum Inf. Process.
Kezhi Li, Kai Zheng, Jingbei Yang, Shuang Cong, Xiaomei Liu, Zhaokai Li
2016 J jnl
A Nonlinear Weighted Total Variation Image Reconstruction Algorithm for Electrical Capacitance Tomography.
CoRR
Kezhi Li, Daniel Holland
2016 J jnl
Alternating strategies with internal ADMM for low-rank matrix reconstruction.
Signal Process.
Kezhi Li, Martin Sundin, Cristian R. Rojas, Saikat Chatterjee, Magnus Jansson
2016 J jnl
An improved robust ADMM algorithm for quantum state tomography.
Quantum Inf. Process.
Kezhi Li, Hui Zhang, Sen Kuang, Fangfang Meng, Shuang Cong
2016 C conf
Characteristics optimization via compressed sensing in quantum state estimation.
CCA
Kai Zheng, Kezhi Li, Shuang Cong
2016 J jnl
Energy-Aware Preferential Attachment Model for Wireless Sensor Networks with Improved Survivability.
KSII Trans. Internet Inf. Syst.
Rufei Ma, Erwu Liu, Rui Wang, Zhengqing Zhang, Kezhi Li, Chi Harold Liu, Ping Wang, Tao Zhou
2016 Misc conf
Piecewise sparse signal recovery via piecewise orthogonal matching pursuit.
ICASSP
Kezhi Li, Cristian R. Rojas, Tao Yang, Håkan Hjalmarsson, Karl Henrik Johansson, Shuang Cong
2015 J jnl
A Brief Survey of Image Processing Algorithms in Electrical Capacitance Tomography.
CoRR
Kezhi Li
2015 J jnl
State of the art and prospects of structured sensing matrices in compressed sensing.
Frontiers Comput. Sci.
Kezhi Li, Shuang Cong
2014 J jnl
A Robust Compressive Quantum State Tomography Algorithm Using ADMM.
CoRR
Kezhi Li, Shuang Cong
2014 J jnl
Alternating Strategies Are Good For Low-Rank Matrix Reconstruction.
CoRR
Kezhi Li, Martin Sundin, Cristian R. Rojas, Saikat Chatterjee, Magnus Jansson
2014 — conf
An improved quantum state estimation algorithm via compressive sensing.
ROBIO
Shuang Cong, Hui Zhang, Kezhi Li
2014 — conf
Finite-time road grade computation for a vehicle platoon.
CDC
Tao Yang, Ye Yuan, Kezhi Li, Jorge M. Gonçalves, Karl Henrik Johansson
2014 J jnl
Piecewise Toeplitz Matrices-based Sensing for Rank Minimization.
CoRR
Kezhi Li, Cristian R. Rojas, Saikat Chatterjee, Håkan Hjalmarsson
2014 — conf
Piecewise Toeplitz matrices-based sensing for rank minimization.
EUSIPCO
Kezhi Li, Cristian R. Rojas, Saikat Chatterjee, Håkan Hjalmarsson
2014 J jnl
State of the Art and Prospects of Structured Sensing Matrices in Compressed Sensing.
CoRR
Kezhi Li, Shuang Cong
2013 J jnl
Convolutional Compressed Sensing Using Deterministic Sequences.
IEEE Trans. Signal Process.
Kezhi Li, Lu Gan, Cong Ling
2012 B conf
Golay meets Hadamard: Golay-paired Hadamard matrices for fast compressed sensing.
ITW
Lu Gan, Kezhi Li, Cong Ling
2011 Misc conf
Deterministic compressed-sensing matrices: Where Toeplitz meets Golay.
ICASSP
Kezhi Li, Cong Ling, Lu Gan
2011 — conf
Optimal Control of Mixed-state Quantum Systems based on Lyapunov Method.
BIOSIGNALS
Shuang Cong, Yuanyuan Zhang, Kezhi Li