Ken (Kezhi) Li
Ken (Kezhi) Li
Lecturer, University College London
Verified email at - Homepage
Cited by
Cited by
Convolutional Compressed Sensing Using Deterministic Sequences
K Li, L Gan, L Cong
IEEE Trans. on Signal Processing 61 (3), 740 - 752, 2013
An open-source platform for analyzing and sharing worm-behavior data
A Javer, M Currie, CW Lee, J Hokanson, K Li, CN Martineau, E Yemini, ...
Nature methods 15 (9), 645-646, 2018
State of the Art and Prospects of Structured Sensing Matrices in Compressed Sensing
K Li, C Shuang
Frontiers of Computer Science 9 (5), 665-677, 2014
Convolutional recurrent neural networks for glucose prediction
K Li, J Daniels, C Liu, P Herrero, P Georgiou
IEEE journal of biomedical and health informatics 24 (2), 603-613, 2019
Nonconvex compressed sensing by nature-inspired optimization algorithms
F Liu, L Lin, L Jiao, K Li, S Yang, B Hou, H Ma, L Yang, J Xu
IEEE transactions on cybernetics 45 (5), 1042-1053, 2015
Segment-interaction and its relevance to the control of movement during sprinting
L Huang, Y Liu, S Wei, L Li, W Fu, Y Sun, Y Feng
Journal of Biomechanics 46 (12), 2018-2023, 2013
A Deep Learning Algorithm For Personalized Blood Glucose Prediction
T Zhu, K Li, P Herrero, J Chen, G P.
27th International Joint Conference on Arti ficial Intelligence ( IJCAI 2018 …, 2018
A Robust Compressive Quantum State Tomography Algorithm Using ADMM
K Li, S Cong
19th World Congress The International Federation of Automatic Control, Cape …, 2014
Deterministic compressed-sensing matrices: Where Toeplitz meets Golay
K Li, C Ling, L Gan
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
A reconstruction algorithm for compressive quantum tomography using various measurement sets
K Zheng, K Li, S Cong
Scientific reports 6 (1), 1-10, 2016
Golay meets Hadamard: Golay-paired Hadamard matrices for fast compressed sensing
L Gan, K Li, C Ling
2012 IEEE Information Theory Workshop, 637-641, 2012
Alternating strategies with internal ADMM for low-rank matrix reconstruction
K Li, M Sundin, CR Rojas, S Chatterjee, M Jansson
Signal Processing 121, 153-159, 2016
Dilated Recurrent Neural Network for Short-Time Prediction of Glucose Concentration
J Chen, K Li, T Herrero, Zhu, P, G P.
27th International Joint Conference on Arti cial Intelligence ( IJCAI 2018 …, 2018
Efficient reconstruction of density matrices for high dimensional quantum state tomography
J Zhang, K Li, S Cong, H Wang
Signal Processing 139, 136-142, 2017
Coherent destruction of tunneling in a lattice array with a controllable boundary
L Li, X Luo, XY Lü, X Yang, Y Wu
Physical Review A 91 (6), 063804, 2015
GluNet: a deep learning framework for accurate glucose forecasting
K Li, C Liu, T Zhu, P Herrero, P Georgiou
IEEE journal of biomedical and health informatics 24 (2), 414-423, 2019
Recurrent Neural Networks with Interpretable Cells Predict and Classify Worm Behaviour
K Li, A Javer, EE Keaveny, AEX Brown
Workshop on Worm's Neural Information Processing (WNIP) in NIPS 2017 …, 2017
An improved robust ADMM algorithm for quantum state tomography
K Li, H Zhang, S Kuang, F Meng, S Cong
Quantum Information Processing 15 (6), 2343-2358, 2016
Development and Current Situation of Researches on CNG/diesel Dual-fuel Engine [J]
K Li, TZ Yang, B Xu, BH Zhang
Journal of Luoyang Institute of Technology 2, 2004
A Non-linear Reweighted Total Variation Image Reconstruction Algorithm for Electrical Capacitance Tomography
K Li, TC Chandrasekera, Y Li, DJ Holland
IEEE Sensors Journal, 2018
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