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Computer Science

D-Index
42
Citations
9124
World Ranking
8269
National Ranking
1081

Overview

Guoxu Zhou is affiliated with Guangdong University of Technology in China and has contributed extensively to fields related to computer science and engineering. Their research primarily covers areas including computer vision and pattern recognition, computational mathematics, computational mechanics, artificial intelligence, and radiology, nuclear medicine, and imaging.

Their research topics are centered around tensor decomposition and its applications, sparse and compressive sensing techniques, advanced neuroimaging techniques and applications, advanced image and video retrieval techniques, face and expression recognition, domain adaptation and few-shot learning, and blind source separation techniques.

Among Guoxu Zhou's recent papers are:

  • Noisy Tensor Completion via Low-Rank Tensor Ring (2022), published in IEEE Transactions on Neural Networks and Learning Systems
  • Low Tensor-Ring Rank Completion by Parallel Matrix Factorization (2020), published in IEEE Transactions on Neural Networks and Learning Systems
  • Improving EEG Decoding via Clustering-Based Multitask Feature Learning (2021), published in IEEE Transactions on Neural Networks and Learning Systems
  • Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation (2022), published in IEEE/CAA Journal of Automatica Sinica
  • Multi-View Multi-Scale Optimization of Feature Representation for EEG Classification Improvement (2020), published in IEEE Transactions on Neural Systems and Rehabilitation Engineering

Their frequent co-authors include Qibin Zhao, Shengli Xie, Yuning Qiu, Zhenhao Huang, and Weijun Sun.

Guoxu Zhou has published widely in venues such as arXiv (Cornell University), Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, Science China Technological Sciences, and IEEE Signal Processing Letters.

Best Publications

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

    Andrzej Cichocki;Danilo Mandic;Lieven De Lathauwer;Guoxu Zhou

  • Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis

    A. Cichocki;D. Mandic;A-H. Phan;C. Caiafa

  • Frequency recognition in SSVEP-based BCI using multiset canonical correlation analysis.

    Yu Zhang;Guoxu Zhou;Jing Jin;Xingyu Wang

  • Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI

    Yu Zhang;Chang S. Nam;Guoxu Zhou;Jing Jin

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

    Yu Zhang;Guoxu Zhou;Jing Jin;Minjue Wang

  • Sparse Bayesian Classification of EEG for Brain–Computer Interface

    Yu Zhang;Guoxu Zhou;Jing Jin;Qibin Zhao

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

    Yu Zhang;Guoxu Zhou;Jing Jin;Xingyu Wang

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

    Yu Zhang;Yu Wang;Guoxu Zhou;Jing Jin

  • Bayesian Robust Tensor Factorization for Incomplete Multiway Data

    Qibin Zhao;Guoxu Zhou;Liqing Zhang;Andrzej Cichocki

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

    Guoxu Zhou;Andrzej Cichocki;Yu Zhang;Danilo P. Mandic

  • Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering

    Zhaoshui He;Shengli Xie;R. Zdunek;Guoxu Zhou

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

    Guoxu Zhou;Qibin Zhao;Yu Zhang;Tulay Adali

  • Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization

    Zuyuan Yang;Guoxu Zhou;Shengli Xie;Shuxue Ding

  • Multiway canonical correlation analysis for frequency components recognition in SSVEP-Based BCIs

    Yu Zhang;Guoxu Zhou;Qibin Zhao;Akinari Onishi

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

    Zhichao Jin;Guoxu Zhou;Daqi Gao;Yu Zhang

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

    Guoxu Zhou;Andrzej Cichocki;Shengli Xie

  • Time-Frequency Approach to Underdetermined Blind Source Separation

    Shengli Xie;Liu Yang;Jun-Mei Yang;Guoxu Zhou

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

    Yu Zhang;Guoxu Zhou;Qibin Zhao;Jing Jin

  • Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective

    Guoxu Zhou;Andrzej Cichocki;Qibin Zhao;Shengli Xie

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

    Haiqiang Wang;Yu Zhang;Nicholas R. Waytowich;Dean J. Krusienski

Frequent Co-Authors

Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Shengli Xie
Shengli Xie Guangdong University of Technology
Xingyu Wang
Xingyu Wang East China University of Science and Technology
Jing Jin
Jing Jin East China University of Science and Technology
Liqing Zhang
Liqing Zhang Shanghai Jiao Tong University
Tulay Adali
Tulay Adali University of Maryland, Baltimore County
Danilo P. Mandic
Danilo P. Mandic Imperial College London
Asoke K. Nandi
Asoke K. Nandi Brunel University London
Shun-ichi Amari
Shun-ichi Amari RIKEN Center for Brain Science

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