Exactly initialized recursive least squares. - Jie Zhou 002; Yunmin Zhu; X. Rong Li; Zhisheng You (CDC, 2001)

Order Statistic Filter (OSF): A Novel Approach to Document Analysis. - Hong Ma 001; Jie Zhou 002; Li Ma; Yuan Yan Tang (Int. J. Pattern Recognit. Artif. Intell., 2002)

Variants of the Greville Formula with Applications to Exact Recursive Least Squares. - Jie Zhou 002; Yunmin Zhu; X. Rong Li; Zhisheng You (SIAM J. Matrix Anal. Appl., 2002)

Comment on "Order-recursive factorization of the pseudoinverse of a covariance matrix" [with reply]. - Jie Zhou 002; Yunmin Zhu; Wallace E. Larimore (IEEE Trans. Autom. Control., 2002)

Optimal sensor data linear compression in multisensor estimation fusion. - Yunmin Zhu; Enbin Song; Jie Zhou 002; Zhisheng You (CDC, 2003)

The optimality of Kalman filtering fusion with cross-correlated sensor noises. - Enbin Song; Yunmin Zhu; Jie Zhou 002 (CDC, 2004)

Sensors' optimal dimensionality compression matrix in estimation fusion. - Enbin Song; Yunmin Zhu; Jie Zhou 002 (Autom., 2005)

Optimal dimensionality reduction of sensor data in multisensor estimation fusion. - Yunmin Zhu; Enbin Song; Jie Zhou 002; Zhisheng You (IEEE Trans. Signal Process., 2005)

An efficient algorithm for optimal linear estimation fusion in distributed multisensor systems. - Jie Zhou 002; Yunmin Zhu; Zhisheng You; Enbin Song (IEEE Trans. Syst. Man Cybern. Part A, 2006)

Optimal Kalman filtering fusion with cross-correlated sensor noises. - Enbin Song; Yunmin Zhu; Jie Zhou 002; Zhisheng You (Autom., 2007)

Some Progress in Sensor Network Decision Fusion. - Enbin Song; Yunmin Zhu; Jie Zhou 002 (J. Syst. Sci. Complex., 2007)

A robust estimation fusion with unknown cross-covariance in distributed systems. - Duzhi Wu; Jie Zhou 002; Xiaomei Qu (CDC, 2009)

Performance analysis of communication direction for two-sensor tandem binary decision system. - Enbin Song; Xiaojing Shen; Jie Zhou 002; Yunmin Zhu; Zhisheng You (IEEE Trans. Inf. Theory, 2009)

Minimum Variance in Biased Estimation With Singular Fisher Information Matrix. - Enbin Song; Yunmin Zhu; Jie Zhou 002; Zhisheng You (IEEE Trans. Signal Process., 2009)

Globally optimal Kalman filtering with finite-time correlated noises. - Pei Jiang 004; Jie Zhou 002; Yunmin Zhu (CDC, 2010)

Minimax Robust Optimal Estimation Fusion in Distributed Multisensor Systems With Uncertainties. - Xiaomei Qu; Jie Zhou 002; Enbin Song; Yunmin Zhu (IEEE Signal Process. Lett., 2010)

A new noise-compensated estimation scheme for multichannel autoregressive signals from noisy observations. - Xiaomei Qu; Jie Zhou 002; Yingting Luo (J. Supercomput., 2011)

State estimation for systems with unknown inputs based on variational Bayes method. - Junlong Sun; Jie Zhou 002; X. Rong Li (FUSION, 2012)

A Minimax Unbiased Estimation Fusion in Distributed Multisensor Localization and Tracking. - Xiaomei Qu; Jie Zhou 002 (Int. J. Distributed Sens. Networks, 2012)

The optimal robust finite-horizon Kalman filtering for multiple sensors with different stochastic failure rates. - Xiaomei Qu; Jie Zhou 002 (Appl. Math. Lett., 2013)

A new approximate algorithm for the Chebyshev center. - Duzhi Wu; Jie Zhou 002; Aiping Hu (Autom., 2013)

Robust distributed fusion for system with randomly uncertain sensor estimation error cross-covariance. - Duzhi Wu; Jie Zhou 002; Aiping Hu; Fan Li (Int. J. Syst. Sci., 2013)

Information-geometric methods for distributed multi-sensor estimation fusion. - Mengjiao Tang; Yao Rong; Jie Zhou 002 (FUSION, 2016)

A novel multiple-model treatment for maneuvering target tracking. - Wei Wang; Jie Zhou 002; Xiaomei Qu (FUSION, 2016)

Data association via logistic regression model for multiple target tracking problems. - Chen Chen 035; Jie Zhou 002 (FUSION, 2017)

Estimation of high dimensional covariance matrices by shrinkage algorithms. - Jianbo Li; Jie Zhou 002; Bin Zhang 040; X. Rong Li (FUSION, 2017)

Intrinsic Losses Based on Information Geometry and Their Applications. - Yao Rong; Mengjiao Tang; Jie Zhou 002 (Entropy, 2017)

Invariant Adaptive Detection of Range-Spread Targets Under Structured Noise Covariance. - Mengjiao Tang; Yao Rong; Jie Zhou 002; X. Rong Li (IEEE Trans. Signal Process., 2017)

Signal Detection with Elliptically Distributed Observations in Sensor Arrays. - Chen Chen 035; Mengjiao Tang; Jie Zhou 002; Yao Rong (FUSION, 2018)

Improved Shrinkage-to-Tapering Estimation for High-Dimensional Covariance Matrices. - Jianbo Li; Jie Zhou 002; Bin Zhang 040 (FUSION, 2018)

State Estimation for Dynamic Systems With Unknown Process Inputs and Applications. - Sanfeng Hu; Jie Zhou 002; Chen Chen 035 (IEEE Access, 2018)

Estimation of Large Covariance Matrices by Shrinking to Structured Target in Normal and Non-Normal Distributions. - Jianbo Li; Jie Zhou 002; Bin Zhang 040 (IEEE Access, 2018)

Robust decentralized estimation fusion in energy-constrained wireless sensor networks with correlated noises. - Xiaomei Qu; Jie Zhou 002; Wenrong Tan (Digit. Signal Process., 2018)

Improved Covariance Matrix Estimators by Multi-Penalty Regularization. - Bin Zhang 040; Jie Zhou 002; Jianbo Li (FUSION, 2019)

Improved Shrinkage Estimators of Covariance Matrices With Toeplitz-Structured Targets in Small Sample Scenarios. - Bin Zhang 040; Jie Zhou 002; Jianbo Li (IEEE Access, 2019)

Estimation fusion for distributed multi-sensor systems with uncertain cross-correlations. - Jianfang Tang; Jie Zhou 002; Yao Rong (Int. J. Syst. Sci., 2019)

Direction of Arrival Estimation in Elliptical Models via Sparse Penalized Likelihood Approach. - Chen Chen 035; Jie Zhou 002; Mengjiao Tang (Sensors, 2019)

An EL Approach for Similarity Parameter Selection in KA Covariance Matrix Estimation. - Jianbo Li; Augusto Aubry; Antonio De Maio; Jie Zhou 002 (IEEE Signal Process. Lett., 2019)

Adaptive Radar Detection in Gaussian Disturbance With Structured Covariance Matrix via Invariance Theory. - Mengjiao Tang; Yao Rong; Antonio De Maio; Chen Chen 035; Jie Zhou 002 (IEEE Trans. Signal Process., 2019)

Information Geometric Approach to Multisensor Estimation Fusion. - Mengjiao Tang; Yao Rong; Jie Zhou 002; X. Rong Li (IEEE Trans. Signal Process., 2019)

Joint Optimization of Dimension Assignment and Compression in Distributed Estimation Fusion. - Linxia Zhang; Dunbiao Niu; Enbin Song; Jie Zhou 002; Qingjiang Shi; Yunmin Zhu (IEEE Trans. Signal Process., 2019)

A Hypothesis Testing for Large Weighted Networks With Applications to Functional Neuroimaging Data. - Li Chen; Lizhen Lin; Jie Zhou 002 (IEEE Access, 2020)

Novel Modeling and Filtering for Stochastic Switched Systems With Heterogeneous Behaviors. - Wei Wang; Wenyong Yan; Jie Zhou 002 (IEEE Access, 2020)

Invariance Theory for Adaptive Detection in Non-Gaussian Clutter. - Mengjiao Tang; Yao Rong; X. Rong Li; Jie Zhou 002 (IEEE Trans. Signal Process., 2020)

Upper bounds for Rao distance on the manifold of multivariate elliptical distributions. - Xiangbing Chen; Jie Zhou 002; Sanfeng Hu (Autom., 2021)

Correlation structure regularization via entropy loss function for high-dimension and low-sample-size data. - Chen Chen 035; Jie Zhou 002; Jianxin Pan (Commun. Stat. Simul. Comput., 2021)

Estimation and optimal structure selection of high-dimensional Toeplitz covariance matrix. - Yihe Yang; Jie Zhou 002; Jianxin Pan (J. Multivar. Anal., 2021)

Correction to "Information Geometric Approach to Multisensor Estimation Fusion". - Yao Rong; Mengjiao Tang; Xiangbing Chen; Jie Zhou 002 (IEEE Trans. Signal Process., 2021)

Gaussian Approximation Filter Based on Divergence Minimization for Nonlinear Dynamic Systems. - Liping Guo; Sanfeng Hu; Jie Zhou 002; X. Rong Li (FUSION, 2022)

Latent Gaussian copula models for longitudinal binary data. - Cheng Peng; Yihe Yang; Jie Zhou 002; Jianxin Pan (J. Multivar. Anal., 2022)

An Iterative Nonlinear Filter Based on Posterior Distribution Approximation via Penalized Kullback-Leibler Divergence Minimization. - Sanfeng Hu; Liping Guo; Jie Zhou 002 (IEEE Signal Process. Lett., 2022)

Nonlinear Filtering Based on Third-Degree Approximation Via Sequential Homotopy. - Liping Guo; Sanfeng Hu; Jie Zhou 002; X. Rong Li (IEEE Trans. Signal Process., 2022)

Multisensor Estimation Fusion on Statistical Manifold. - Xiangbing Chen; Jie Zhou 002 (Entropy, 2022)

Adaptive Reference-Related Graph Embedding for Hyperspectral Anomaly Detection. - Yubo Ma; Siyu Cai; Jie Zhou 002 (IEEE Trans. Geosci. Remote. Sens., 2023)

Random Projection-Based Sub-Pixel Target Detection for Hyperspectral Image With t-Distribution Background. - Qingke Zou; Jie Zhou 002; Yubo Ma; Mingjie Luo (IEEE Trans. Geosci. Remote. Sens., 2024)

Recursive Nonlinear Filtering via Gaussian Approximation With Minimized Kullback-Leibler Divergence. - Liping Guo; Sanfeng Hu; Jie Zhou 002; X. Rong Li (IEEE Trans. Aerosp. Electron. Syst., 2024)

Hyperspectral super-resolution via nonlinear unmixing. - Qingke Zou; Jie Zhou 002; Mingjie Luo (Inf. Fusion, 2025)

Generalized Likelihood Ratio Test for Hyperspectral Subpixel Target Detection Based on Segmented Mixing Model. - Yubo Ma; Jie Zhou 002; Siyu Cai; Qingke Zou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)