Shuxue Ding

According to our database1, Shuxue Ding authored at least 71 papers between 2003 and 2019.

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Bibliography

2019
Intrusion Detection Based on Device-Free Localization in the Era of IoT.
Symmetry, 2019

Improved Sparse Coding Algorithm with Device-Free Localization Technique for Intrusion Detection and Monitoring.
Symmetry, 2019

An Accurate and Robust Approach of Device-Free Localization With Convolutional Autoencoder.
IEEE Internet of Things Journal, 2019

Automatic acute ischemic stroke lesion segmentation using semi-supervised learning.
CoRR, 2019

Total Variation Denoising With Non-Convex Regularizers.
IEEE Access, 2019

$\ell_P$ Norm Independently Interpretable Regularization Based Sparse Coding for Highly Correlated Data.
IEEE Access, 2019

Sparse Representation Based on the Analysis Model With Optimization on the Stiefel Manifold.
IEEE Access, 2019

Residual-Network-Based Supervised Gaze Prediction for First-Person Videos.
IEEE Access, 2019

2018
Proximal Alternating Minimization for Analysis Dictionary Learning and Convergence Analysis.
IEEE Trans. Emerging Topics in Comput. Intellig., 2018

Manifold optimization-based analysis dictionary learning with an ℓ1∕2-norm regularizer.
Neural Networks, 2018

Dictionary learning with the \({{\ell }_{1/2}}\) -regularizer and the coherence penalty and its convergence analysis.
Int. J. Machine Learning & Cybernetics, 2018

Group Sparse Precoding for Cloud-RAN with Multiple User Antennas.
Entropy, 2018

DC programming for solving a sparse modeling problem of video key frame extraction.
Digital Signal Processing, 2018

Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multimodal MR Image Using Convolutional Neural Network.
CoRR, 2018

Analysis Sparse Representation for Nonnegative Signals Based on Determinant Measure by DC Programming.
Complexity, 2018

Resource block filtered-OFDM as a multi-carrier transmission scheme for 5G.
Computers & Electrical Engineering, 2018

Deep Neural Network Structured Sparse Coding for Online Processing.
IEEE Access, 2018

Nonnegative Sparse Representation of Signals With a Determinant-Type Sparsity Measure Based on the DC Programming.
IEEE Access, 2018

Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multi-Spectral MR Image Using Convolutional Neural Network.
IEEE Access, 2018

An Accurate and Efficient Device-Free Localization Approach Based on Sparse Coding in Subspace.
IEEE Access, 2018

An Accurate and Efficient Device-Free Localization Approach Based on Gaussian Bernoulli Restricted Boltzmann Machine.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Overcomplete Dictionary Learning for Nonnegative Sparse Representation with an ℓ_p-Norm Constraint Based on Majorize-Minimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017
Analysis dictionary learning using block coordinate descent framework with proximal operators.
Neurocomputing, 2017

Sparse Coding Algorithm with Negentropy and Weighted 1-Norm for Signal Reconstruction.
Entropy, 2017

Incoherent dictionary learning with log-regularizer based on proximal operators.
Digital Signal Processing, 2017

Key Frame Extraction from Video Based on Determinant-Type of Sparse Measure and DC Programming.
Proceedings of the 11th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2017

Audio Source Separation from a Monaural Mixture Using Convolutional Neural Network in the Time Domain.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Phase Constraint and Deep Neural Network for Speech Separation.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Single Channel Speech Separation Using Deep Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Defect detection on thin-wall structure via dictionary learning.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

Dictionary learning in the analysis sparse representation with optimization on Stiefel manifold.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016
A family of the subgradient algorithm with several cosparsity inducing functions to the cosparse recovery problem.
Pattern Recognition Letters, 2016

Dictionary learning with the cosparse analysis model based on summation of blocked determinants as the sparseness measure.
Digital Signal Processing, 2016

An efficient algorithm for incoherent analysis dictionary learning based on proximal operator.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Nonnegative sparse representation based on the determinant measure.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Dictionary learning for sparse representation using weighted ℓ1-norm.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
A Fast Algorithm for Learning Overcomplete Dictionary for Sparse Representation Based on Proximal Operators.
Neural Computation, 2015

Non-negative Dictionary-Learning Algorithm for the Analysis Model Based on L1 Norm.
Proceedings of the IIAI 4th International Congress on Advanced Applied Informatics, 2015

An efficient algorithm for dictionary learning with a mixed-norm regularizer for sparsity based on proximal operator.
Proceedings of the 9th International Conference on Signal Processing and Communication Systems, 2015

Dictionary learning with log-regularizer for sparse representation.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Analysis dictionary learning based on summation of blocked determinants measure of sparseness.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

2014
A fast blind source separation algorithm based on the temporal structure of signals.
Neurocomputing, 2014

A dictionary-learning algorithm for the analysis sparse model with a determinant-type of sparsity measure.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Improving dictionary learning using the Itakura-Saito divergence.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

2013
Dictionary Learning with Incoherence and Sparsity Constraints for Sparse Representation of Nonnegative Signals.
IEICE Transactions, 2013

Dictionary learning by nonnegative matrix factorization with 1/2-norm sparsity constraint.
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

2012
Nonnegative Blind Source Separation by Sparse Component Analysis Based on Determinant Measure.
IEEE Trans. Neural Netw. Learning Syst., 2012

Environmental Sound Recognition Using Time-Frequency Intersection Patterns.
Applied Comp. Int. Soft Computing, 2012

Nonnegative Dictionary Learning by Nonnegative Matrix Factorization with a Sparsity Constraint.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

A fixed-point blind source extraction algorithm and its application to ECG data analysis.
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012

2011
Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization.
IEEE Trans. Image Processing, 2011

Diagnose the mild cognitive impairment by constructing Bayesian network with missing data.
Expert Syst. Appl., 2011

2010
Blind Source Separation by Fully Nonnegative Constrained Iterative Volume Maximization.
IEEE Signal Process. Lett., 2010

2009
Pseudo Online Independent Component Analysis for Dynamical Mixing Using Gradient Optimization.
JACIII, 2009

2008
An Efficient Method to Determine the Diagonal Loading Factor Using the Constant Modulus Feature.
IEEE Trans. Signal Processing, 2008

An Invariant Pattern Recognition System Using the Bayesian Inference on Hierarchical Sequences with Pre-processing.
Proceedings of the Japan-China Joint Workshop on Frontier of Computer Science and Technology, 2008

2007
Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation.
IEEE Trans. Audio, Speech & Language Processing, 2007

An Efficient Method to Determine the Diagonal Loading Factor for PAM Communication System.
Proceedings of the Seventh International Conference on Computer and Information Technology (CIT 2007), 2007

2006
A near real-time approach for convolutive blind source separation.
IEEE Trans. on Circuits and Systems, 2006

A Power Iteration Algorithm for ICA Based on Diagonalizations of Non-Linearized Covariance Matrix.
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006

Independent Component Analysis Based on Learning Updating with Forms of Matrix Transformations and the Diagonalization Principle.
Proceedings of the Japan-China Joint Workshop on Frontier of Computer Science and Technology, 2006

Independent Component Analysis without Predetermined Learning Parameters.
Proceedings of the Sixth International Conference on Computer and Information Technology (CIT 2006), 2006

2005
Blind source separation of acoustic signals in realistic environments based on ICA in the time-frequency domain.
Int. J. Pervasive Computing and Communications, 2005

A scalable mobile phone-based system for multiple vital signs monitoring and healthcare.
Int. J. Pervasive Computing and Communications, 2005

2004
Real-Time Blind Source Separation Of Acoustic Signals With A Recursive Approach.
International Journal of Computational Intelligence and Applications, 2004

Environmental sound recognition by the instantaneous spectrum combined with the time pattern of power.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

Real-Time Independent Component Analysis Based on Gradient Learning with Simultaneous Perturbation Stochastic Approximation.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Environmental Sound Recognition by Multilayered Neural Networks.
Proceedings of the 2004 International Conference on Computer and Information Technology (CIT 2004), 2004

Signal Extensions in Independent Component Analysis and Its Application for Real-Time Processing.
Proceedings of the 2004 International Conference on Computer and Information Technology (CIT 2004), 2004

Development of a Scalable Healthcare Monitoring Platform.
Proceedings of the 2004 International Conference on Computer and Information Technology (CIT 2004), 2004

2003
Recursive Approach for Real-Time Blind Source Separation of Acoustic Signals.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003


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