Selected Publication

K. Li, etc, "Structured Compressed Sensing using Deterministic Sequences", ISBN-10: 3737576416, ISBN-13: 978-3737576413. Language: English; Publication year: 2015. Book
K. Li , A. Javer, E. E.Keaveny, A. E.Brown "Recurrent Neural Networks with Interpretable Cells Predict and Classify Worm Behaviour" Annual Conference and Workshop on Neural Information Processing Systems, NIPS. 2017
J. Zhang, S. Cong, Q. Ling, K. Li,. "An Efficient and Fast Quantum State Estimator under Sparse Disturbance". IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2018.2828498.
A. Javer, M. Currie, Kezhi Li, A. Brown, etc. "An open source platform for analyzing and sharing worm behavior data" Nature Methods. to appear
J. Yang, S. Cong, X. Liu, Z. Li, K. Li, "Effective quantum state reconstruction using compressed sensing in NMR quantum computing", Physical Review A, 96, 052101, 2017. Paper
K. Li, A. Javer, A. Brown "A Toolbox for C.elegans behaviour analysis, when hypotheses particle filter meets deep learning ". Paper, Codes
K. Li, K. Zheng, S. Cong, "Hybrid Reconstruction of Quantum Density Matrix: When Low-rank Meets Sparsity" Quantum Information Processing, 16 (12), 299, 2017. Paper, Codes
K. Li, C. Rojas, S. Chatterjee and M. Jansson, "AEfficient Reconstruction of Density Matrices for High Dimensional Quantum State Tomography " Signal Processing, sigpro.2017.04.007, 2017. Paper
K. Li, J. Zhang, S. Cong, "Fast Reconstruction of High-qubit Quantum States via Low Rate Measurements" Physical Review A, 96, 012334, 2017. Paper, Codes
K. Zheng K. Li, S. Cong,"A reconstruction algorithm for compressive quantum tomography using various measurement sets", Scienti.c Reports, 6, 38497; 2016, corres. author. Paper, Codes
K. Li, C. Rojas, S. Chatterjee and M. Jansson, "Alternating strategies are good for low-rank matrix reconstruction" Signal Processing, vol.121, pp.153-159, 2016. Paper, Codes
K. Li, H. Zhang, S. Kuang, F. Meng, S. Cong "An Improved Robust ADMM Algorithm For Quantum State Tomography", Quantum Information Processing, vol.15, no.6, pp. 2343-2358, 2016. Paper
K. Li, Daniel Holland, "A Nonlinear Weighted Total Variation Image Reconstruction for Electrical Capacitance Tomography" IEEE Sensors JournalPaper, Codes
K. Li, L. Gan and C. Ling, "Convolutional Compressed Sensing Using Deterministic Sequences", IEEE Trans. on Signal Processing, vol.61, no.3, pp.740-752, 2013. Paper, Codes
K. Li, C. R. Rojas, T. Yang, H. Hjalmarsson, K. H. Johansson, S. Cong, "Piecewise Sparse Signal Recovery Via Piecewise Orthogonal Matching Pursuit", IEEE 41th International Conference on Acoustics, Speech and Signal Processing, (ICASSP 2016), Shanghai, China. Paper
K. Li and S. Cong,"A robust compressive quantum state tomography algorithm using ADMM" 19th World Congress of the International Federation of Automation Control (IFAC 2014), Cape Town, South Africa, Aug., 2014, pp. 6878-6883. Paper
K. Li, C. Rojas, S. Chatterjee and H. Hjalmarsson, "Piecewise Toeplitz matrices-based sensing for rank minimization" IEEE European Signal Processing Conference , (EUSIPCO 2014) ,pp.1836-1840, 1-5 Sept. 2014. Paper
L. Gan, K. Li and C. Ling, "Golay Meets Hadamard: Golay-Hadamard Matrices for Fast Compressed Sensing" IEEE Inform. Theory Workshop 2012, (ITW 2012), Lausanne, Switzerland, pp. 637-641, 3-7 Sep. 2012. Paper, Codes
K. Li, C. Ling and L. Gan, "Statistical restricted isometry property of orthogonal symmetric Toeplitz matrices", IEEE Inform. Theory Workshop 2009, (ITW 2009), Taormina, Italy, pp. 183-187, 11-16 Oct. 2009. Paper, Codes

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