Guoxu Zhou

发表

Spatial-Temporal Discriminant Analysis for ERP-Based Brain-Computer Interface

Xingyu Wang, Yu Zhang, Guoxu Zhou, 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data

Liqing Zhang, Andrzej Cichocki, Tülay Adali, 2013, IEEE Signal Processing Magazine.

Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI

Xingyu Wang, Andrzej Cichocki, Yu Zhang, 2019, IEEE Transactions on Cybernetics.

SSVEP recognition using common feature analysis in brain–computer interface

Xingyu Wang, Andrzej Cichocki, Guoxu Zhou, 2015, Journal of Neuroscience Methods.

Robust Bayesian Tensor Factorization for Incomplete Multiway Data pdf

Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari, 2014, ArXiv.

Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion

Xingyu Wang, Andrzej Cichocki, Qibin Zhao, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bayesian Robust Tensor Factorization for Incomplete Multiway Data

Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Guaranteed Robust Tensor Completion via ∗L-SVD with Applications to Remote Sensing Data

Guoxu Zhou, Qibin Zhao, Andong Wang, 2021, Remote. Sens..

Robust tensor decomposition via orientation invariant tubal nuclear norms

C. Li, Guoxu Zhou, Qibin Zhao, 2022, Science China Technological Sciences.

A Brief Guide for TDALAB Ver 1 . 1

A. Cichocki, Guoxu Zhou, 2013 .

Absolute distance measurement based on spectral interferometer using the effect of the FSR of a Fabry–Perot etalon

Dong Wei, Kiyoshi Takamasu, Shengli Xie, 2019 .

New method for signal encryption using blind source separation based on subband decomposition

Guoxu Zhou, Zuyuan Yang, Zongze Wu, 2008 .

Estimating the mixing matrix by using less sparsity

X. Liao, Guoxu Zhou, Zuyuan Yang, 2009 .

Online Blind Source Separation Using Incremental Nonnegative Matrix Factorization With Volume Constraint

Shengli Xie, Guoxu Zhou, Zuyuan Yang, 2011, IEEE Transactions on Neural Networks.

Guided Joint Diagonalization and Its Application to Online Blind Source Separation

Jin Wang, Ronghua Li, Guoxu Zhou, 2008 .

Multi-Way Component Analysis for Structured Tensor Data: A Signal Processing Perspective

A. Cichocki, D. Mandic, Qianchuan Zhao, 2012 .

A semi-supervised label-driven auto-weighted strategy for multi-view data classification

Qianchuan Zhao, Guoxu Zhou, S. Xie, 2022, Knowl. Based Syst..

Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective

Qianchuan Zhao, Guoxu Zhou, Tenghui Li, 2021, 2110.09902.

Latent Matrices for Tensor Network Decomposition and to Tensor Completion

Guoxu Zhou, Weijun Sun, Pei-Tse Yang, 2022, ArXiv.

Classification of the Epileptic Seizure Onset Zone Based on Partial Annotation

H. Sugano, Jianting Cao, Guoxu Zhou, 2022, Cognitive Neurodynamics.

Canonical polyadic decomposition (CPD) of big tensors with low multilinear rank

A. Cichocki, Guoxu Zhou, Yichun Qiu, 2020, Multimedia Tools and Applications.

Spatial Information Regularized Tensor Decomposition Framework for Super-Resolution Reconstruction of Medical MRI and Radiographs

Guoxu Zhou, S. Xie, Yuning Qiu, 2022, IEEE Transactions on Computational Imaging.

Semi-supervised multi-view clustering with dual hypergraph regularized partially shared non-negative matrix factorization

Qianchuan Zhao, Guoxu Zhou, Yihao Luo, 2022, Science China Technological Sciences.

Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution pdf

Qibin Zhao, Tenghui Li, Guoxu Zhou, 2021, ArXiv.

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, 2014, IEEE Signal Processing Magazine.

Sparse Bayesian Classification of EEG for Brain–Computer Interface

Xingyu Wang, Andrzej Cichocki, Qibin Zhao, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Two Efficient Algorithms for Approximately Orthogonal Nonnegative Matrix Factorization

Andrzej Cichocki, Guoxu Zhou, Bo Li, 2015, IEEE Signal Processing Letters.

L1-Regularized Multiway Canonical Correlation Analysis for SSVEP-Based BCI

Andrzej Cichocki, Guoxu Zhou, Xingyu Wang, 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Nonorthogonal Approximate Joint Diagonalization With Well-Conditioned Diagonalizers

Jun Zhang, Shengli Xie, Guoxu Zhou, 2009, IEEE Transactions on Neural Networks.

Boosting Transfer Learning Improves Performance of Driving Drowsiness Classification Using EEG

Nitish V. Thakor, Hongtao Wang, Anastasios Bezerianos, 2018, 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Frequency Recognition in SSVEP-Based BCI using Multiset Canonical Correlation Analysis

Xingyu Wang, Andrzej Cichocki, Yu Zhang, 2013, Int. J. Neural Syst..

Semi-supervised non-negative Tucker decomposition for tensor data representation

Qibin Zhao, Guoxu Zhou, YuNing Qiu, 2021, Science China Technological Sciences.

Approximately orthogonal nonnegative Tucker decomposition for flexible multiway clustering

Yu Zhang, YiChun Qiu, WeiJun Sun, 2021, Science China Technological Sciences.

Canonical polyadic decomposition (CPD) of big tensors with low multilinear rank

Andrzej Cichocki, Yu Zhang, Yichun Qiu, 2020, Multimedia Tools and Applications.

Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation

Xingyu Wang, Andrzej Cichocki, Qibin Zhao, 2016, Neurocomputing.

Noisy Tensor Completion via Low-rank Tensor Ring

Guoxu Zhou, Qibin Zhao, Shengli Xie, 2022, IEEE transactions on neural networks and learning systems.

Tensor-ring Nuclear Norm Minimization and Application for Visual : Data Completion

Qibin Zhao, Guoxu Zhou, Jinshi Yu, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Accelerated Canonical Polyadic Decomposition Using Mode Reduction

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Time-Frequency Approach to Underdetermined Blind Source Separation

Yong Xiang, Shengli Xie, Liu Yang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization

Shengli Xie, Jun Zhang, Shuxue Ding, 2011, IEEE Transactions on Image Processing.

On Blind Separability Based on the Temporal Predictability Method

Shengli Xie, Yuli Fu, Guoxu Zhou, 2009, Neural Computation.

A new geometric approach to blind source separation of bounded sources

Guoxu Zhou, Xiaoxin Liao, Zuyuan Yang, 2009 .

Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction

Andrzej Cichocki, Danilo P. Mandic, Yu Zhang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks

C. Li, Qianchuan Zhao, Guoxu Zhou, 2023, 2303.00196.

Tensor-variate Gaussian processes regression and its application to video surveillance

Liqing Zhang, Andrzej Cichocki, Qibin Zhao, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Optimizing spatial patterns with sparse filter bands for motor-imagery based brain–computer interface

Xingyu Wang, Andrzej Cichocki, Guoxu Zhou, 2015, Journal of Neuroscience Methods.

Tensor Ring Decomposition pdf

Liqing Zhang, Andrzej Cichocki, Shengli Xie, 2016, ArXiv.

EEG classification using sparse Bayesian extreme learning machine for brain–computer interface

Yu Zhang, Guoxu Zhou, Daqi Gao, 2018, Neural Computing and Applications.

Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2014, IEEE Transactions on Image Processing.

Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient

Andrzej Cichocki, Qibin Zhao, Yu Zhang, 2014, ISNN.

Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials

Tapani Ristaniemi, Fengyu Cong, Andrzej Cichocki, 2014, Int. J. Neural Syst..

Canonical Polyadic Decomposition Based on a Single Mode Blind Source Separation

Andrzej Cichocki, Guoxu Zhou, A. Cichocki, 2012, IEEE Signal Processing Letters.

Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface

Xingyu Wang, Andrzej Cichocki, Qibin Zhao, 2014, Int. J. Neural Syst..

Orthogonal random projection for tensor completion

Guoxu Zhou, Yali Feng, Guoxu Zhou, 2020, IET Comput. Vis..

Orthogonal Random Projection Based Tensor Completion for Image Recovery

Yuning Qiu, Guoxu Zhou, Weijun Sun, 2018, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Deep graph regularized non-negative matrix factorization for multi-view clustering

Shengli Xie, Jianqiang Li, Yuning Qiu, 2020, Neurocomputing.

Tensor Recovery via

$*_L$

-Spectral

$k$

-Support Norm

Zhong Jin, Guoxu Zhou, Qibin Zhao, 2021, IEEE Journal of Selected Topics in Signal Processing.

Robust to Rank Selection: Low-Rank Sparse Tensor-Ring Completion

Guoxu Zhou, S. Xie, Weijun Sun, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces

Yu Zhang, Xingyu Wang, Andrzej Cichocki, 2018, Expert Syst. Appl..

Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data

Andrzej Cichocki, Shengli Xie, Tülay Adali, 2015, Proceedings of the IEEE.

Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering

Zhaoshui He, Andrzej Cichocki, Shengli Xie, 2011, IEEE Transactions on Neural Networks.

Improved Clock Parameters Tracking and Ranging Method Based on Two-Way Timing Stamps Exchange Mechanism

Shengli Xie, Guoxu Zhou, Xiaobo Gu, 2021, IEEE Signal Processing Letters.

Joint Time Synchronization and Ranging for a Mobile Wireless Network

Shengli Xie, Xiaobo Gu, Jianzhong Li, 2020, IEEE Communications Letters.

An adaptive weighted self-representation method for incomplete multi-view clustering

Guoxu Zhou, Jingya Chang, Lishan Feng, 2023, 2302.05563.

Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI

Xingyu Wang, Andrzej Cichocki, Qibin Zhao, 2012, 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery.

Low tensor-ring rank completion: parallel matrix factorization with smoothness on latent space

Guoxu Zhou, Tao Zou, Jinshi Yu, 2022, Neural computing & applications (Print).

Discriminative Feature Extraction via Multivariate Linear Regression for SSVEP-Based BCI

Xingyu Wang, Andrzej Cichocki, Dean J. Krusienski, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Low Tensor-Ring Rank Completion by Parallel Matrix Factorization

Chao Li, Shengli Xie, Guoxu Zhou, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Common and Individual Features Analysis: Beyond Canonical Correlation Analysis pdf

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2012, ArXiv.

Projective Double Reconstructions Based Dictionary Learning Algorithm for Cross-Domain Recognition

Shengli Xie, Xuelong Li, Xiaozhao Fang, 2020, IEEE Transactions on Image Processing.

Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs

Xingyu Wang, Andrzej Cichocki, Qibin Zhao, 2011, ICONIP.

Canonical Polyadic Decomposition: From 3-way to N-Way

Zhaoshui He, Andrzej Cichocki, Qibin Zhao, 2012, 2012 Eighth International Conference on Computational Intelligence and Security.

A Generalized Graph Regularized Non-Negative Tucker Decomposition Framework for Tensor Data Representation

Yu Zhang, Yuning Qiu, Guoxu Zhou, 2020, IEEE Transactions on Cybernetics.

Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective

Andrzej Cichocki, Shengli Xie, Qibin Zhao, 2014, IEEE Signal Processing Magazine.

Multi-view Data Classification with a Label-driven Auto-weighted Strategy pdf

Haonan Huang, Guoxu Zhou, Yuyuan Yu, 2022, ArXiv.

Minimum-Volume-Constrained Nonnegative Matrix Factorization: Enhanced Ability of Learning Parts

Zhaoshui He, Shengli Xie, Guoxu Zhou, 2011, IEEE Transactions on Neural Networks.

Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration

Qianchuan Zhao, Guoxu Zhou, Weijun Sun, 2022, ArXiv.

A dynamic hypergraph regularized non-negative tucker decomposition framework for multiway data analysis

Guoxu Zhou, Yuyuan Yu, Zhenhao Huang, 2022, International Journal of Machine Learning and Cybernetics.

Hierarchical Factorization Strategy for High-Order Tensor and Application to Data Completion

Qibin Zhao, Zefeng Chen, Guoxu Zhou, 2021, IEEE Signal Processing Letters.

Fast hypergraph regularized nonnegative tensor ring decomposition based on low-rank approximation

Guoxu Zhou, Qibin Zhao, Weijun Sun, 2022, Applied Intelligence.

Graph-Regularized Non-Negative Tensor-Ring Decomposition for Multiway Representation Learning

Guoxu Zhou, Qibin Zhao, Yuyuan Yu, 2022, IEEE Transactions on Cybernetics.

Efficient Tensor Robust PCA Under Hybrid Model of Tucker and Tensor Train

Guoxu Zhou, Qibin Zhao, Zhenhao Huang, 2021, IEEE Signal Processing Letters.

Semi-supervised multi-view concept decomposition

Qianchuan Zhao, Guoxu Zhou, Qi Jiang, 2023, ArXiv.

Imbalanced low-rank tensor completion via latent matrix factorization

Qianchuan Zhao, Guoxu Zhou, Junhua Zeng, 2022, Neural Networks.

Graph Regularized Nonnegative Tucker Decomposition for Tensor Data Representation

Yu Zhang, Shengli Xie, Yuning Qiu, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2012, IEEE Transactions on Signal Processing.

Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation

Qianchuan Zhao, Guoxu Zhou, Shengli Xie, 2023, IEEE/CAA Journal of Automatica Sinica.

Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation pdf

Qibin Zhao, Guoxu Zhou, Xinhai Zhao, 2021, ArXiv.

Graph Regularized Nonnegative Tensor Ring Decomposition for Multiway Representation Learning pdf

Shengli Xie, Guoxu Zhou, Qibin Zhao, 2020, ArXiv.

Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering pdf

Kan Xie, Yuning Qiu, Guoxu Zhou, 2017, ArXiv.

Decomposition of Big Tensors With Low Multilinear Rank pdf

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2014, ArXiv.

Improving EEG Decoding via Clustering-Based Multitask Feature Learning pdf

Andrzej Cichocki, Yu Zhang, Guoxu Zhou, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition

Xingyu Wang, Andrzej Cichocki, Yangsong Zhang, 2017, Neurocomputing.

Dynamic Double Classifiers Approximation for Cross-Domain Recognition

Yong Xu, Guoxu Zhou, Na Han, 2020, IEEE Transactions on Cybernetics.

Blind source separation by nonnegative matrix factorization with minimum-volume constraint

Shuxue Ding, Guoxu Zhou, Zuyuan Yang, 2010, 2010 International Conference on Intelligent Control and Information Processing.

Spectral unmixing using nonnegative matrix factorization with smoothed L0 norm constraint

Xi Chen, Shengli Xie, Guoxu Zhou, 2009, International Symposium on Multispectral Image Processing and Pattern Recognition.

Contour information regularized tensor ring completion for realistic image restoration

Guoxu Zhou, Yihao Luo, Zhifa Liu, 2022, IET Image Processing.

Bayesian Robust Tucker Decomposition for Multiway Data Analysis

Guoxu Zhou, Qibin Zhao, Zhenhao Huang, 2021, 2021 China Automation Congress (CAC).

Unbiased feature generating for generalized zero-shot learning

Guoxu Zhou, Junchu Huang, Junyuan Shang, 2022, J. Vis. Commun. Image Represent..

Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface

A. Cichocki, Xingyu Wang, Jing Jin, 2014, Int. J. Neural Syst..

L1-Regularized Multiway Canonical Correlation Analysis for SSVEP-Based BCI

A. Cichocki, Xingyu Wang, Jing Jin, 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks

C. Li, Qianchuan Zhao, Guoxu Zhou, 2023, ArXiv.

A Hybrid Norm for Guaranteed Tensor Recovery

Qianchuan Zhao, Guoxu Zhou, Yihao Luo, 2022, Frontiers in Physics.

Transferable multi-modal fusion in knee angles and gait phases for their continuous prediction

Guoxu Zhou, J. Long, Hanrui Wu, 2023, Journal of neural engineering.

Multi-View Multi-Scale Optimization of Feature Representation for EEG Classification Improvement

Lina Yao, Yu Zhang, Guoxu Zhou, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Common components analysis via linked blind source separation

Andrzej Cichocki, Danilo P. Mandic, Guoxu Zhou, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mixing Matrix Estimation From Sparse Mixtures With Unknown Number of Sources

Shengli Xie, Guoxu Zhou, Zuyuan Yang, 2011, IEEE Transactions on Neural Networks.

Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2018, IEEE Access.

Eliminating the Permutation Ambiguity of Convolutive Blind Source Separation by Using Coupled Frequency Bins

Zhaoshui He, Shengli Xie, Guoxu Zhou, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Noisy Tensor Completion via Low-Rank Tensor Ring

Guoxu Zhou, Qibin Zhao, Shengli Xie, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction

A. Cichocki, Yu Zhang, Guoxu Zhou, 2012, IEEE Transactions on Neural Networks and Learning Systems.

A high-order tensor completion algorithm based on Fully-Connected Tensor Network weighted optimization

Guoxu Zhou, Yonghui Huang, Weijun Sun, 2022, PRCV.

Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs)

Guoxu Zhou, Junhua Zeng, Chao Li, 2024, ArXiv.