Chunqi Chang

According to our database1, Chunqi Chang authored at least 41 papers between 1998 and 2021.

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Bibliography

2021
Fast Variational Bayesian Inference for Temporally Correlated Sparse Signal Recovery.
IEEE Signal Process. Lett., 2021

2020
Robust Bayesian learning approach for massive MIMO channel estimation.
Signal Process., 2020

GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images.
Neural Networks, 2020

A Novel Adaptive Fading Kalman Filter-Based Approach to Time-Varying Brain Spectral/Connectivity Analyses of Event-Related EEG Signals.
IEEE Access, 2020

Comparison of Machine Learning and Deep Learning Approaches for Decoding Brain Computer Interface: An fNIRS Study.
Proceedings of the Intelligent Information Processing X, 2020

Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2017
Homotopy Approach for Energy-Efficient MIMO Systems With Zero-Forcing Transceivers.
IEEE Trans. Veh. Technol., 2017

Underdetermined DOA Estimation Method for Wideband Signals Using Joint Nonnegative Sparse Bayesian Learning.
IEEE Signal Process. Lett., 2017

Root Sparse Bayesian Learning for Off-Grid DOA Estimation.
IEEE Signal Process. Lett., 2017

Effective subset approach for SVMpath singularities.
Pattern Recognit. Lett., 2017

2016
Source localization for sparse array using nonnegative sparse Bayesian learning.
Signal Process., 2016

Source separation of ERP components in brain responses to reward evaluation.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

2015
Sparse Bayesian Learning for DOA Estimation with Mutual Coupling.
Sensors, 2015

Homotopy algorithm for <i>l</i><sub>1</sub>-norm minimisation problems.
IET Signal Process., 2015

2014
Power allocation for maximizing the MAC capacity via majorization.
EURASIP J. Adv. Signal Process., 2014

Age-related changes of EEG and its source in resting state.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

2013
On the SVMpath Singularity.
IEEE Trans. Neural Networks Learn. Syst., 2013

A novel network and sparsity constraint regression model for functional module identification in genomic data analysis.
Int. J. Data Min. Bioinform., 2013

2012
Convergence Analysis for Initial Condition Estimation in Coupled Map Lattice Systems.
IEEE Trans. Signal Process., 2012

Linear Precoder Optimization for MIMO Systems with Joint Power Constraints.
IEEE Trans. Commun., 2012

Noniterative Convex Optimization Methods for Network Component Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Application of Granger causality to gene regulatory network discovery.
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012

2011
A Chromatic Transient Visual Evoked Potential Based Encoding/Decoding Approach for Brain-Computer Interface.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2011

2010
Source localization using a sparse representation framework to achieve superresolution.
Multidimens. Syst. Signal Process., 2010

A graph-based elastic net for variable selection and module identification for genomic data analysis.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009
An efficient greedy scheduler for zero-forcing dirty-paper coding.
IEEE Trans. Commun., 2009

An Efficient Convex Nonnegative Network Component Analysis for Gene Regulatory Network Reconstruction.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

An Improved Direction-of-arrival Estimation via Phase Information of Sparse Solution.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

Nonnegative Network Component Analysis by Linear Programming for Gene Regulatory Network Reconstruction.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

A new optimization algorithm for network component analysis based on convex programming.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Asymptotic Properties of Order Statistics Correlation Coefficient in the Normal Cases.
IEEE Trans. Signal Process., 2008

Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient.
BMC Bioinform., 2008

Fast network component analysis (FastNCA) for gene regulatory network reconstruction from microarray data.
Bioinform., 2008

2007
Order Statistics Correlation Coefficient as a Novel Association Measurement With Applications to Biosignal Analysis.
IEEE Trans. Signal Process., 2007

2006
Real-time data-reusing adaptive learning of a radial basis function network for tracking evoked potentials.
IEEE Trans. Biomed. Eng., 2006

Order Statistic Correlation Coefficient and Its Application to Association Measurement of Biosignals.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

On a Sparse Component Analysis Approach to Blind Source Separation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Gene selection for Brain Cancer Classification.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2003
Blind separation of convolutive mixtures based on second order and third order statistics.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2000
A matrix-pencil approach to blind separation of colored nonstationary signals.
IEEE Trans. Signal Process., 2000

1998
A matrix-pencil approach to blind separation of non-white sources in white noise.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998


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