Kezhi Li

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All published works

Action	Title	Year	Authors
+ PDF Chat	Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks	2024	Joseph Farrington Samah Alimam Martin Utley Kezhi Li Wai Keong Wong
+ PDF Chat	Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach	2024	Chengzhe Piao Taiyu Zhu Yu Wang Stephanie Baldeweg Paul Taylor Pantelis Georgiou Jiahao Sun Jun Wang Kezhi Li
+ PDF Chat	GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series	2024	Chengzhe Piao Taiyu Zhu Stephanie Baldeweg Paul Taylor Pantelis Georgiou Jiahao Sun Jun Wang Kezhi Li
+ PDF Chat	Large Language Model for Mental Health: A Systematic Review	2024	Zhijun Guo Alvina G. Lai Johan H. Thygesen Joseph Farrington Thomas Keen Kezhi Li
+	Going faster to see further: GPU-accelerated value iteration and simulation for perishable inventory control using JAX	2023	Joseph Farrington Kezhi Li Wai Keong Wong Martin Utley
+	Blood Glucose Level Prediction: A Graph-based Explainable Method with Federated Learning	2023	Chengzhe Piao Kezhi Li
+ PDF Chat	Classification of lapses in smokers attempting to stop: A supervised machine learning approach using data from a popular smoking cessation smartphone app	2022	Olga Perski Kezhi Li Nikolas Pontikos David Simons Stephanie P. Goldstein Felix Naughton Jamie Brown
+ PDF Chat	COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records	2022	Johan H. Thygesen Christopher Tomlinson Sam Hollings Mehrdad A. Mizani Álex Handy Ashley Akbari Amitava Banerjee Jennifer Cooper Alvina G. Lai Kezhi Li
+	A novel hand-held interface supporting the self-management of Type 1 diabetes.	2020	Robert Spence Chukwuma Uduku Kezhi Li Nick Oliver Pantelis Georgiou
+ PDF Chat	Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An <i>In Silico</i> Validation	2020	Taiyu Zhu Kezhi Li Pau Herrero Pantelis Georgiou
+ PDF Chat	Two-qubit state recovery from amplitude damping based on weak measurement	2020	Sajede Harraz Shuang Cong Kezhi Li
+ PDF Chat	On-line quantum state estimation using continuous weak measurement and compressed sensing	2020	Shuang Cong Yaru Tang Sajede Harraz Kezhi Li Jingbei Yang
+	A novel hand-held interface supporting the self-management of Type 1 diabetes	2020	Robert Spence Chukwuma Uduku Kezhi Li Nick Oliver Pantelis Georgiou
+ PDF Chat	Convolutional Recurrent Neural Networks for Glucose Prediction	2019	Kezhi Li John Daniels Chengyuan Liu Pau Herrero Pantelis Georgiou
+	A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning	2019	Taiyu Zhu Kezhi Li Pantelis Georgiou
+	Convolutional Recurrent Neural Networks for Blood Glucose Prediction.	2018	Kezhi Li John Daniels Pau Herrero Chengyuan Liu Pantelis Georgiou
+	Convolutional Recurrent Neural Networks for Glucose Prediction	2018	Kezhi Li John Daniels Chengyuan Liu Pau Herrero Pantelis Georgiou
+	Two-qubit state recovery from amplitude damping based on weak measurement	2018	Sajede Harraz Shuang Cong Kezhi Li
+	Assessment of Student Learning Achievement in Regression Tasks	2017	Kezhi Li
+	Factors Influencing Social Processes of Statistics Learning within an IT Environment	2017	Kezhi Li Merrilyn Goos
+	A Nonlinear Weighted Total Variation Image Reconstruction Algorithm for Electrical Capacitance Tomography	2016	Kezhi Li Daniel J. Holland
+ PDF Chat	State of the art and prospects of structured sensing matrices in compressed sensing	2015	Kezhi Li Shuang Cong
+	A balanced rail-to-rail all digital comparator using only standard cells	2015	Bo Wang Kezhi Li Zhongjian Chen Xinan Wang
+	A Brief Survey of Image Processing Algorithms in Electrical Capacitance Tomography	2015	Kezhi Li
+	Piecewise Toeplitz matrices-based sensing for rank minimization	2014	Kezhi Li Cristian R. Rojas Saikat Chatterjee Håkan Hjalmarsson
+	Piecewise Toeplitz Matrices-based Sensing for Rank Minimization	2014	Kezhi Li Cristian R. Rojas Saikat Chatterjee Håkan Hjalmarsson
+	Alternating Strategies Are Good For Low-Rank Matrix Reconstruction	2014	Kezhi Li Martin Sundin Cristian R. Rojas Saikat Chatterjee Magnus Jansson
+	A Robust Compressive Quantum State Tomography Algorithm Using ADMM	2014	Kezhi Li Shuang Cong
+	A Robust Compressive Quantum State Tomography Algorithm Using ADMM	2014	Kezhi Li Shuang Cong
+ PDF Chat	Convolutional Compressed Sensing Using Deterministic Sequences	2012	Kezhi Li Lu Gan Cong Ling
+	Reinforcing students' correlation comprehension	2011	Kezhi Li Merrilyn Goos
+	Orthogonal symmetric Toeplitz matrices for compressed sensing: Statistical isometry property	2010	Kezhi Li Lu Gan Cong Ling

Common Coauthors

Coauthor	Papers Together
Pantelis Georgiou	9
Shuang Cong	6
Taiyu Zhu	4
Pau Herrero	4
Joseph Farrington	3
Chengzhe Piao	3
John Daniels	3
Sajede Harraz	3
Saikat Chatterjee	3
Cristian R. Rojas	3
Stephanie Baldeweg	2
Jiahao Sun	2
Lu Gan	2
Chukwuma Uduku	2
Merrilyn Goos	2
Paul Taylor	2
Wai Keong Wong	2
Alvina G. Lai	2
Nick Oliver	2
Chengyuan Liu	2
Johan H. Thygesen	2
Martin Utley	2
Håkan Hjalmarsson	2
Cong Ling	2
Freya Allery	1
Ruth Watkinson	1
Roy Schwartz	1
Lorna Fraser	1
Elena Nikiphorou	1
Dominic Oliver	1
Lana Bojanić	1
Rachel Denholm	1
Munir Pirmohamed	1
Sebastian J. Vollmer	1
Rosie Hinchliffe	1
Tanja Mueller	1
Tom Norris	1
Miguel Bernabeu Llinares	1
Lamiece Hassan	1
Jon P. Boyle	1
John Macleod	1
Moritz Gerstung	1
Jake Kasan	1
Felix Greaves	1
Sonya V. Babu‐Narayan	1
Ana Torralbo	1
Vandana Ayyar Gupta	1
Emanuele Di Angelantonio	1
Jun Wang	1
Ruth Gilbert	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Quantum State Tomography via Compressed Sensing	2010	David Groß Yi-Kai Liu Steven T. Flammia Stephen Becker Jens Eisert	4
+ PDF Chat	Structured Compressed Sensing: From Theory to Applications	2011	Marco F. Duarte Yonina C. Eldar	4
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	4
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	3
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	3
+ PDF Chat	Speech recognition with deep recurrent neural networks	2013	Alex Graves Abdelrahman Mohamed Geoffrey E. Hinton	3
+ PDF Chat	Construction of a Large Class of Deterministic Sensing Matrices That Satisfy a Statistical Isometry Property	2010	Robert Calderbank Howard Caygill Sina Jafarpour	3
+ PDF Chat	Convolutional Recurrent Neural Networks for Glucose Prediction	2019	Kezhi Li John Daniels Chengyuan Liu Pau Herrero Pantelis Georgiou	3
+ PDF Chat	Deep Learning of Representations: Looking Forward	2013	Yoshua Bengio	3
+ PDF Chat	Alternating Least-Squares for Low-Rank Matrix Reconstruction	2012	Dave Zachariah Martin Sundin Magnus Jansson Saikat Chatterjee	3
+ PDF Chat	Deep learning in neural networks: An overview	2014	Jürgen Schmidhuber	3
+ PDF Chat	Interpretable Convolutional Neural Networks	2018	Quanshi Zhang Ying Wu Song‐Chun Zhu	3
+	On sparse reconstruction from Fourier and Gaussian measurements	2007	Mark Rudelson Roman Vershynin	3
+ PDF Chat	A Deep Learning Approach to Diabetic Blood Glucose Prediction	2017	H. N. Mhaskar Sergei V. Pereverzyev Maria D. van der Walt	3
+	Methods for interpreting and understanding deep neural networks	2017	Grégoire Montavon Wojciech Samek Klaus‐Robert Müller	2
+ PDF Chat	Sparsity and incoherence in compressive sampling	2007	Emmanuel J. Candès Justin Romberg	2
+	Prioritized Experience Replay	2015	Tom Schaul John Quan Ioannis Antonoglou David Silver	2
+	Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones	1999	J.F. Sturm	2
+	Compressed sensing	2006	David L. Donoho	2
+	A Review and Comparison of Methods for Detecting Outliers in Univariate Data Sets	2006	Songwon Seo	2
+ PDF Chat	Recovering Low-Rank Matrices From Few Coefficients in Any Basis	2011	David Groß	2
+ PDF Chat	Quantum state tomography by continuous measurement and compressed sensing	2013	Aaron Smith Carlos Riofrio B. E. Anderson H. Sosa-Martinez Ivan Deutsch Poul Jessen	2
+ PDF Chat	Convolutional Compressed Sensing Using Deterministic Sequences	2012	Kezhi Li Lu Gan Cong Ling	2
+ PDF Chat	A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning	2018	Qingnan Sun Marko V. Jankovic Joao Budzinski Brett L. Moore Peter Diem Christoph Stettler Stavroula Mougiakakou	2
+	An overview of gradient descent optimization algorithms	2016	Sebastian Ruder	2
+	Deterministic Designs with Deterministic Guarantees: Toeplitz Compressed Sensing Matrices, Sequence Designs and System Identification	2008	Venkatesh Saligrama	2
+ PDF Chat	Fast and Efficient Compressive Sensing Using Structurally Random Matrices	2011	T. Thong Lu Gan Nam Nguyen Trac D. Tran	2
+	Compressive Sensing with structured random matrices	2010	Holger Rauhut	2
+ PDF Chat	Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems	2009	Amir Beck Marc Teboulle	2
+ PDF Chat	Generating random density matrices	2011	Karol Życzkowski K. A. Penson Ion Nechita C. Benoît	2
+	Simple deterministically constructible RIP matrices with sublinear fourier sampling requirements	2009	Mark Iwen	2
+	An analysis of four missing data treatment methods for supervised learning	2003	Gustavo Batista Maria Carolina Monard	2
+ PDF Chat	Structured low-rank approximation and its applications	2008	Ivan Markovsky	2
+ PDF Chat	Compressive principal component pursuit	2013	John Wright Arvind Ganesh Kyoungwon Min Yi Ma	2
+ PDF Chat	Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?	2006	Emmanuel J. Candès Terence Tao	2
+ PDF Chat	A Probabilistic and RIPless Theory of Compressed Sensing	2011	Emmanuel J. Candès Yaniv Plan	2
+ PDF Chat	CUR matrix decompositions for improved data analysis	2009	Michael W. Mahoney Petros Drineas	2
+	Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation	2011	Zhouchen Lin Risheng Liu Zhixun Su	2
+ PDF Chat	An Iterative Shrinkage Approach to Total-Variation Image Restoration	2010	Oleg Michailovich	2
+ PDF Chat	MATRIX ALPS: Accelerated low rank and sparse matrix reconstruction	2012	Anastasios Kyrillidis Volkan Cevher	1
+ PDF Chat	Stable Principal Component Pursuit	2010	Zihan Zhou Xiaodong Li John Wright Emmanuel J. Candès Yi Ma	1
+ PDF Chat	Discriminating two nonorthogonal states against a noise channel by feed-forward control	2015	Li-Sha Guo Bao-Ming Xu Jian Zou Chao-Quan Wang Hai Li Jungang Li Bin Shao	1
+	Orthogonal Symmetric Toeplitz Matrices	2008	Albrecht Böttcher	1
+ PDF Chat	Quantum control of a single qubit	2007	Agata M. Brańczyk Paulo E. M. F. Mendonça Alexei Gilchrist Andrew C. Doherty Stephen D. Bartlett	1
+ PDF Chat	Feed-forward control for quantum state protection against decoherence	2014	Chao-Quan Wang Bao-Ming Xu Jian Zou Zhi He Yan Yan Jungang Li Bin Shao	1
+	Flaws and Fallacies in Statistical Thinking.	1975	John Gilbert Jim Eastman Stephen K. Campbell	1
+ PDF Chat	Suprema of Chaos Processes and the Restricted Isometry Property	2014	Felix Krahmer Shahar Mendelson Holger Rauhut	1
+ PDF Chat	Reverberant Audio Source Separation via Sparse and Low-Rank Modeling	2014	Simon Arberet Pierre Vandergheynst	1
+	Randomized Low-Memory Singular Value Projection	2013	Stephen Becker Volkan Cevher Anastasios Kyrillidis	1
+	Graphs in Statistical Analysis: Is the Medium the Message?	1999	R. Dennis Cook Sanford Weisberg	1