Jie Zhou

Orcid: 0000-0002-6203-3583

Affiliations:
  • Sichuan University, College of Mathematics, Chengdu, China


According to our database1, Jie Zhou authored at least 55 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Recursive Nonlinear Filtering via Gaussian Approximation With Minimized Kullback-Leibler Divergence.
IEEE Trans. Aerosp. Electron. Syst., February, 2024

2023
Adaptive Reference-Related Graph Embedding for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Multisensor Estimation Fusion on Statistical Manifold.
Entropy, December, 2022

Nonlinear Filtering Based on Third-Degree Approximation Via Sequential Homotopy.
IEEE Trans. Signal Process., 2022

An Iterative Nonlinear Filter Based on Posterior Distribution Approximation via Penalized Kullback-Leibler Divergence Minimization.
IEEE Signal Process. Lett., 2022

Latent Gaussian copula models for longitudinal binary data.
J. Multivar. Anal., 2022

Gaussian Approximation Filter Based on Divergence Minimization for Nonlinear Dynamic Systems.
Proceedings of the 25th International Conference on Information Fusion, 2022

2021
Correction to "Information Geometric Approach to Multisensor Estimation Fusion".
IEEE Trans. Signal Process., 2021

Estimation and optimal structure selection of high-dimensional Toeplitz covariance matrix.
J. Multivar. Anal., 2021

Correlation structure regularization via entropy loss function for high-dimension and low-sample-size data.
Commun. Stat. Simul. Comput., 2021

Upper bounds for Rao distance on the manifold of multivariate elliptical distributions.
Autom., 2021

2020
Invariance Theory for Adaptive Detection in Non-Gaussian Clutter.
IEEE Trans. Signal Process., 2020

Novel Modeling and Filtering for Stochastic Switched Systems With Heterogeneous Behaviors.
IEEE Access, 2020

A Hypothesis Testing for Large Weighted Networks With Applications to Functional Neuroimaging Data.
IEEE Access, 2020

2019
Joint Optimization of Dimension Assignment and Compression in Distributed Estimation Fusion.
IEEE Trans. Signal Process., 2019

Information Geometric Approach to Multisensor Estimation Fusion.
IEEE Trans. Signal Process., 2019

Adaptive Radar Detection in Gaussian Disturbance With Structured Covariance Matrix via Invariance Theory.
IEEE Trans. Signal Process., 2019

An EL Approach for Similarity Parameter Selection in KA Covariance Matrix Estimation.
IEEE Signal Process. Lett., 2019

Direction of Arrival Estimation in Elliptical Models via Sparse Penalized Likelihood Approach.
Sensors, 2019

Estimation fusion for distributed multi-sensor systems with uncertain cross-correlations.
Int. J. Syst. Sci., 2019

Improved Shrinkage Estimators of Covariance Matrices With Toeplitz-Structured Targets in Small Sample Scenarios.
IEEE Access, 2019

Improved Covariance Matrix Estimators by Multi-Penalty Regularization.
Proceedings of the 22th International Conference on Information Fusion, 2019

2018
Robust decentralized estimation fusion in energy-constrained wireless sensor networks with correlated noises.
Digit. Signal Process., 2018

Estimation of Large Covariance Matrices by Shrinking to Structured Target in Normal and Non-Normal Distributions.
IEEE Access, 2018

State Estimation for Dynamic Systems With Unknown Process Inputs and Applications.
IEEE Access, 2018

Improved Shrinkage-to-Tapering Estimation for High-Dimensional Covariance Matrices.
Proceedings of the 21st International Conference on Information Fusion, 2018

Signal Detection with Elliptically Distributed Observations in Sensor Arrays.
Proceedings of the 21st International Conference on Information Fusion, 2018

2017
Invariant Adaptive Detection of Range-Spread Targets Under Structured Noise Covariance.
IEEE Trans. Signal Process., 2017

Intrinsic Losses Based on Information Geometry and Their Applications.
Entropy, 2017

Estimation of high dimensional covariance matrices by shrinkage algorithms.
Proceedings of the 20th International Conference on Information Fusion, 2017

Data association via logistic regression model for multiple target tracking problems.
Proceedings of the 20th International Conference on Information Fusion, 2017

2016
A novel multiple-model treatment for maneuvering target tracking.
Proceedings of the 19th International Conference on Information Fusion, 2016

Information-geometric methods for distributed multi-sensor estimation fusion.
Proceedings of the 19th International Conference on Information Fusion, 2016

2013
Robust distributed fusion for system with randomly uncertain sensor estimation error cross-covariance.
Int. J. Syst. Sci., 2013

A new approximate algorithm for the Chebyshev center.
Autom., 2013

The optimal robust finite-horizon Kalman filtering for multiple sensors with different stochastic failure rates.
Appl. Math. Lett., 2013

2012
A Minimax Unbiased Estimation Fusion in Distributed Multisensor Localization and Tracking.
Int. J. Distributed Sens. Networks, 2012

State estimation for systems with unknown inputs based on variational Bayes method.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
A new noise-compensated estimation scheme for multichannel autoregressive signals from noisy observations.
J. Supercomput., 2011

2010
Minimax Robust Optimal Estimation Fusion in Distributed Multisensor Systems With Uncertainties.
IEEE Signal Process. Lett., 2010

Globally optimal Kalman filtering with finite-time correlated noises.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Minimum Variance in Biased Estimation With Singular Fisher Information Matrix.
IEEE Trans. Signal Process., 2009

Performance analysis of communication direction for two-sensor tandem binary decision system.
IEEE Trans. Inf. Theory, 2009

A robust estimation fusion with unknown cross-covariance in distributed systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2007
Some Progress in Sensor Network Decision Fusion.
J. Syst. Sci. Complex., 2007

Optimal Kalman filtering fusion with cross-correlated sensor noises.
Autom., 2007

2006
An efficient algorithm for optimal linear estimation fusion in distributed multisensor systems.
IEEE Trans. Syst. Man Cybern. Part A, 2006

2005
Optimal dimensionality reduction of sensor data in multisensor estimation fusion.
IEEE Trans. Signal Process., 2005

Sensors' optimal dimensionality compression matrix in estimation fusion.
Autom., 2005

2004
The optimality of Kalman filtering fusion with cross-correlated sensor noises.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003
Optimal sensor data linear compression in multisensor estimation fusion.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002
Comment on "Order-recursive factorization of the pseudoinverse of a covariance matrix" [with reply].
IEEE Trans. Autom. Control., 2002

Variants of the Greville Formula with Applications to Exact Recursive Least Squares.
SIAM J. Matrix Anal. Appl., 2002

Order Statistic Filter (OSF): A Novel Approach to Document Analysis.
Int. J. Pattern Recognit. Artif. Intell., 2002

2001
Exactly initialized recursive least squares.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001


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