Guoxu Zhou

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 87

Top Venues

CoRR

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Cybern.

ICASSP

Publications

Junhua Zeng, Guoxu Zhou, Yuning Qiu, Yumeng Ma, Qibin Zhao
Hyperspectral and Multispectral Image Fusion via Bayesian Nonlocal CP Factorization. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Qi Jiang, Guoxu Zhou, Qibin Zhao
Semi-supervised multi-view concept decomposition. Expert Syst. Appl. 241 (2024)
Junhua Zeng, Guoxu Zhou, Yuning Qiu, Chao Li, Qibin Zhao
Bayesian tensor network structure search and its application to tensor completion. Neural Networks 175 (2024)
Junhua Zeng, Guoxu Zhou, Chao Li, Zhun Sun, Qibin Zhao
Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs). CoRR (2024)
Junfan Huang, Peipei Kang, Na Han, Yonghao Chen, Xiaozhao Fang, Hongbo Gao, Guoxu Zhou
Two-Stage Asymmetric Similarity Preserving Hashing for Cross-Modal Retrieval. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Haonan Huang, Guoxu Zhou, Qibin Zhao, Lifang He, Shengli Xie
Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Haomin Ni, Xiaozhao Fang, Peipei Kang, Hongbo Gao, Guoxu Zhou, Shengli Xie
SCH: Symmetric Consistent Hashing for cross-modal retrieval. Signal Process. 215 (2024)
Yuning Qiu, Guoxu Zhou, Andong Wang, Zhenhao Huang, Qibin Zhao
Towards Multi-Mode Outlier Robust Tensor Ring Decomposition. AAAI (2024)
Yuning Qiu, Guoxu Zhou, Qibin Zhao, Shengli Xie
Noisy Tensor Completion via Low-Rank Tensor Ring. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Yichun Qiu, Weijun Sun, Guoxu Zhou, Qibin Zhao
Towards efficient and accurate approximation: tensor decomposition based on randomized block Krylov iteration. Signal Image Video Process. 18 (8-9) (2024)
Zhenhao Huang, Yuning Qiu, Xinqi Chen, Weijun Sun, Guoxu Zhou
Bayesian Robust Tensor Ring Decomposition for Incomplete Multiway Data. IEEE Trans. Syst. Man Cybern. Syst. 54 (7) (2024)
Xiaobo Gu, Chengye Zheng, Zeyu Li, Guoxu Zhou, Haibo Zhou, Lian Zhao
Cooperative Localization for UAV Systems From the Perspective of Physical Clock Synchronization. IEEE J. Sel. Areas Commun. 42 (1) (2024)
Dongping Zhang, Haonan Huang, Qibin Zhao, Guoxu Zhou
Generalized latent multi-view clustering with tensorized bipartite graph. Neural Networks 175 (2024)
Dai Chen, Guoxu Zhou, Yuning Qiu, Yuyuan Yu
Adaptive graph regularized non-negative Tucker decomposition for multiway dimensionality reduction. Multim. Tools Appl. 83 (4) (2024)
Qi Jiang, Guoxu Zhou, Qibin Zhao
Semi-supervised multi-view concept decomposition. CoRR (2023)
Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks. NeurIPS (2023)
Yuyuan Yu, Guoxu Zhou, Ning Zheng, Yuning Qiu, Shengli Xie, Qibin Zhao
Graph-Regularized Non-Negative Tensor-Ring Decomposition for Multiway Representation Learning. IEEE Trans. Cybern. 53 (5) (2023)
Jinshi Yu, Guoxu Zhou, Weijun Sun, Shengli Xie
Robust to Rank Selection: Low-Rank Sparse Tensor-Ring Completion. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Jinshi Yu, Tao Zou, Guoxu Zhou
Low tensor-ring rank completion: parallel matrix factorization with smoothness on latent space. Neural Comput. Appl. 35 (9) (2023)
Haonan Huang, Guoxu Zhou, Yanghang Zheng, Zuyuan Yang, Qibin Zhao
Exclusivity and consistency induced NMF for multi-view representation learning. Knowl. Based Syst. 281 (2023)
Haonan Huang, Guoxu Zhou, Naiyao Liang, Qibin Zhao, Shengli Xie
Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation. IEEE CAA J. Autom. Sinica 10 (11) (2023)
Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks. CoRR (2023)
Haonan Huang, Yihao Luo, Guoxu Zhou, Qibin Zhao
Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization. ICASSP (2022)
Zhenhao Huang, Yuning Qiu, Jinshi Yu, Guoxu Zhou
Multi-Aspect Streaming Tensor Ring Completion for Dynamic Incremental Data. IEEE Signal Process. Lett. 29 (2022)
Xinqi Chen, Yuning Qiu, Weicai Liang, Guoxu Zhou, Shengli Xie
Spatial Information Regularized Tensor Decomposition Framework for Super-Resolution Reconstruction of Medical MRI and Radiographs. IEEE Trans. Computational Imaging 8 (2022)
Yuyuan Yu, Guoxu Zhou, Haonan Huang, Shengli Xie, Qibin Zhao
Multi-view Data Classification with a Label-driven Auto-weighted Strategy. CoRR (2022)
Yuning Qiu, Guoxu Zhou, Qibin Zhao, Shengli Xie
Noisy Tensor Completion via Low-rank Tensor Ring. CoRR (2022)
Zhenhao Huang, Guoxu Zhou, Yuning Qiu, Yuyuan Yu, Haolei Dai
A dynamic hypergraph regularized non-negative tucker decomposition framework for multiway data analysis. Int. J. Mach. Learn. Cybern. 13 (12) (2022)
Xiaozhao Fang, Kaihang Jiang, Na Han, Shaohua Teng, Guoxu Zhou, Shengli Xie
Average Approximate Hashing-Based Double Projections Learning for Cross-Modal Retrieval. IEEE Trans. Cybern. 52 (11) (2022)
Tenghui Li, Guoxu Zhou, Yuning Qiu, Qibin Zhao
Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective. J. Mach. Learn. Res. 23 (2022)
Zhenhao Huang, Guoxu Zhou, Yuning Qiu
Bayesian Robust Tensor Ring Model for Incomplete Multiway Data. CoRR (2022)
Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki
Improving EEG Decoding via Clustering-Based Multitask Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Yuyuan Yu, Guoxu Zhou, Haonan Huang, Shengli Xie, Qibin Zhao
A semi-supervised label-driven auto-weighted strategy for multi-view data classification. Knowl. Based Syst. 255 (2022)
Xinhai Zhao, Yuyuan Yu, Guoxu Zhou, Qibin Zhao, Weijun Sun
Fast hypergraph regularized nonnegative tensor ring decomposition based on low-rank approximation. Appl. Intell. 52 (15) (2022)
Jinshi Yu, Tao Zou, Guoxu Zhou
Online subspace learning and imputation by Tensor-Ring decomposition. Neural Networks 153 (2022)
Peilin Yang, Yonghui Huang, Yuning Qiu, Weijun Sun, Guoxu Zhou
A High-Order Tensor Completion Algorithm Based on Fully-Connected Tensor Network Weighted Optimization. PRCV (1) (2022)
Peilin Yang, Weijun Sun, Qibin Zhao, Guoxu Zhou
Latent Matrices for Tensor Network Decomposition and to Tensor Completion. CoRR (2022)
Zhi Yu, Yihao Luo, Zhifa Liu, Guoxu Zhou
Contour information regularized tensor ring completion for realistic image restoration. IET Image Process. 16 (13) (2022)
Peilin Yang, Yonghui Huang, Yuning Qiu, Weijun Sun, Guoxu Zhou
A high-order tensor completion algorithm based on Fully-Connected Tensor Network weighted optimization. CoRR (2022)
Yuning Qiu, Guoxu Zhou, Yanjiao Wang, Yu Zhang, Shengli Xie
A Generalized Graph Regularized Non-Negative Tucker Decomposition Framework for Tensor Data Representation. IEEE Trans. Cybern. 52 (1) (2022)
Yuning Qiu, Guoxu Zhou, Junhua Zeng, Qibin Zhao, Shengli Xie
Imbalanced low-rank tensor completion via latent matrix factorization. Neural Networks 155 (2022)
Chang Niu, Junyuan Shang, Junchu Huang, Junmei Yang, Yuting Song, Zhiheng Zhou, Guoxu Zhou
Unbiased feature generating for generalized zero-shot learning. J. Vis. Commun. Image Represent. 89 (2022)
Yapeng Ji, Guoxu Zhou
Improving Adversarial Attacks with Ensemble-Based Approaches. CICAI (2) (2022)
Xiaozhao Fang, Na Han, Guoxu Zhou, Shohua Teng, Yong Xu, Shenli Xie
Dynamic Double Classifiers Approximation for Cross-Domain Recognition. IEEE Trans. Cybern. 52 (4) (2022)
Yichun Qiu, Weijun Sun, Guoxu Zhou, Qibin Zhao
Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration. CoRR (2022)
Xinqi Chen, Guoxu Zhou, Yanjiao Wang, Ming Hou, Qibin Zhao, Shengli Xie
Accommodating Multiple Tasks' Disparities With Distributed Knowledge-Sharing Mechanism. IEEE Trans. Cybern. 52 (4) (2022)
Yuning Qiu, Guoxu Zhou, Zhenhao Huang, Qibin Zhao, Shengli Xie
Efficient Tensor Robust PCA Under Hybrid Model of Tucker and Tensor Train. IEEE Signal Process. Lett. 29 (2022)
Zefeng Chen, Guoxu Zhou, Qibin Zhao
Hierarchical Factorization Strategy for High-Order Tensor and Application to Data Completion. IEEE Signal Process. Lett. 28 (2021)
Yuning Qiu, Guoxu Zhou, Zhenhao Huang, Qibin Zhao, Shengli Xie
Efficient Tensor Robust PCA under Hybrid Model of Tucker and Tensor Train. CoRR (2021)
Tenghui Li, Guoxu Zhou, Yuning Qiu, Qibin Zhao
Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution. CoRR (2021)
Andong Wang, Guoxu Zhou, Zhong Jin, Qibin Zhao
Tensor Recovery via $*_L$-Spectral $k$-Support Norm. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
Xinhai Zhao, Yuyuan Yu, Guoxu Zhou, Qibin Zhao, Weijun Sun
Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation. CoRR (2021)
Xiaobo Gu, Jianzhong Li, Guoxu Zhou, Shengli Xie
Improved Clock Parameters Tracking and Ranging Method Based on Two-Way Timing Stamps Exchange Mechanism. IEEE Signal Process. Lett. 28 (2021)
Andong Wang, Guoxu Zhou, Qibin Zhao
Guaranteed Robust Tensor Completion via ∗L-SVD with Applications to Remote Sensing Data. Remote. Sens. 13 (18) (2021)
Yichun Qiu, Guoxu Zhou, Yu Zhang, Andrzej Cichocki
Canonical polyadic decomposition (CPD) of big tensors with low multilinear rank. Multim. Tools Appl. 80 (15) (2021)
Jinshi Yu, Guoxu Zhou, Chao Li, Qibin Zhao, Shengli Xie
Low Tensor-Ring Rank Completion by Parallel Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 32 (7) (2021)
Jianqiang Li, Guoxu Zhou, Yuning Qiu, Yanjiao Wang, Yu Zhang, Shengli Xie
Deep graph regularized non-negative matrix factorization for multi-view clustering. Neurocomputing 390 (2020)
Yuyuan Yu, Guoxu Zhou, Ning Zheng, Shengli Xie, Qibin Zhao
Graph Regularized Nonnegative Tensor Ring Decomposition for Multiway Representation Learning. CoRR (2020)
Na Han, Jigang Wu, Xiaozhao Fang, Shaohua Teng, Guoxu Zhou, Shengli Xie, Xuelong Li
Projective Double Reconstructions Based Dictionary Learning Algorithm for Cross-Domain Recognition. IEEE Trans. Image Process. 29 (2020)
Zhichao Jin, Guoxu Zhou, Daqi Gao, Yu Zhang
EEG classification using sparse Bayesian extreme learning machine for brain-computer interface. Neural Comput. Appl. 32 (11) (2020)
Kan Xie, Guoxu Zhou, Junjie Yang, Zhaoshui He, Shengli Xie
Eliminating the Permutation Ambiguity of Convolutive Blind Source Separation by Using Coupled Frequency Bins. IEEE Trans. Neural Networks Learn. Syst. 31 (2) (2020)
Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki
Improving EEG Decoding via Clustering-based Multi-task Feature Learning. CoRR (2020)
Xiaobo Gu, Guoxu Zhou, Jianzhong Li, Shengli Xie
Joint Time Synchronization and Ranging for a Mobile Wireless Network. IEEE Commun. Lett. 24 (10) (2020)
Yali Feng, Guoxu Zhou
Orthogonal random projection for tensor completion. IET Comput. Vis. 14 (5) (2020)
Yuning Qiu, Guoxu Zhou, Yu Zhang, Shengli Xie
Graph Regularized Nonnegative Tucker Decomposition for Tensor Data Representation. ICASSP (2019)
Jinshi Yu, Chao Li, Qibin Zhao, Guoxu Zhou
Tensor-Ring Nuclear Norm Minimization and Application for Visual Data Completion. CoRR (2019)
Yu Zhang, Chang S. Nam, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki
Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI. IEEE Trans. Cybern. 49 (9) (2019)
Jinshi Yu, Guoxu Zhou, Andrzej Cichocki, Shengli Xie
Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization. CoRR (2018)
Yu Zhang, Yu Wang, Guoxu Zhou, Jing Jin, Bei Wang, Xingyu Wang, Andrzej Cichocki
Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces. Expert Syst. Appl. 96 (2018)
Jinshi Yu, Guoxu Zhou, Qibin Zhao, Kan Xie
An Effective Tensor Completion Method Based on Multi-linear Tensor Ring Decomposition. APSIPA (2018)
Jiancong He, Guoxu Zhou, Hongtao Wang, Evangelos Sigalas, Nitish V. Thakor, Anastasios Bezerianos, Junhua Li
Boosting Transfer Learning Improves Performance of Driving Drowsiness Classification Using EEG. PRNI (2018)
Jinshi Yu, Guoxu Zhou, Andrzej Cichocki, Shengli Xie
Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization. IEEE Access 6 (2018)
Yali Feng, Guoxu Zhou, Yuning Qiu, Weijun Sun
Orthogonal Random Projection Based Tensor Completion for Image Recovery. APSIPA (2018)
Yuning Qiu, Guoxu Zhou, Kan Xie
Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering. CoRR (2017)
Yu Zhang, Guoxu Zhou, Jing Jin, Yangsong Zhang, Xingyu Wang, Andrzej Cichocki
Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition. Neurocomputing 225 (2017)
Guoxu Zhou, Qibin Zhao, Yu Zhang, Tülay Adali, Shengli Xie, Andrzej Cichocki
Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data. Proc. IEEE 104 (2) (2016)
Qibin Zhao, Guoxu Zhou, Shengli Xie, Liqing Zhang, Andrzej Cichocki
Tensor Ring Decomposition. CoRR (2016)
Guoxu Zhou, Andrzej Cichocki, Yu Zhang, Danilo P. Mandic
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 27 (11) (2016)
Yu Zhang, Guoxu Zhou, Qibin Zhao, Andrzej Cichocki, Xingyu Wang
Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation. Neurocomputing 198 (2016)
Yu Zhang, Qibin Zhao, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki
Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion. ICASSP (2016)
Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari
Bayesian Robust Tensor Factorization for Incomplete Multiway Data. IEEE Trans. Neural Networks Learn. Syst. 27 (4) (2016)
Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao, Xingyu Wang, Andrzej Cichocki
Sparse Bayesian Classification of EEG for Brain-Computer Interface. IEEE Trans. Neural Networks Learn. Syst. 27 (11) (2016)
Andrzej Cichocki, Danilo P. Mandic, Lieven De Lathauwer, Guoxu Zhou, Qibin Zhao, Cesar F. Caiafa, Anh Huy Phan
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis. IEEE Signal Process. Mag. 32 (2) (2015)
Guoxu Zhou, Andrzej Cichocki, Danilo P. Mandic
Common components analysis via linked blind source separation. ICASSP (2015)
Guoxu Zhou, Qibin Zhao, Yu Zhang, Tülay Adali, Shengli Xie, Andrzej Cichocki
Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data. CoRR (2015)
Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie
Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. IEEE Trans. Image Process. 24 (12) (2015)
Bo Li, Guoxu Zhou, Andrzej Cichocki
Two Efficient Algorithms for Approximately Orthogonal Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 22 (7) (2015)
Fengyu Cong, Guoxu Zhou, Piia Astikainen, Qibin Zhao, Qiang Wu, Asoke K. Nandi, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki
Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials. Int. J. Neural Syst. 24 (8) (2014)
Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari
Robust Bayesian Tensor Factorization for Incomplete Multiway Data. CoRR (2014)
Guoxu Zhou, Andrzej Cichocki, Shengli Xie
Decomposition of Big Tensors With Low Multilinear Rank. CoRR (2014)
Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao, Xingyu Wang, Andrzej Cichocki
Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface. Int. J. Neural Syst. 24 (1) (2014)
Guoxu Zhou, Qibin Zhao, Yu Zhang, Andrzej Cichocki
Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient. ISNN (2014)
Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki
Tensor-variate Gaussian processes regression and its application to video surveillance. ICASSP (2014)
Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, Cesar F. Caiafa, Guoxu Zhou, Qibin Zhao, Lieven De Lathauwer
Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis. CoRR (2014)
Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie
Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. CoRR (2014)
Yu Zhang, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki
Frequency Recognition in SSVEP-Based BCI using Multiset Canonical Correlation Analysis. Int. J. Neural Syst. 24 (4) (2014)
Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie
Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective. IEEE Signal Process. Mag. 31 (3) (2014)
Qibin Zhao, Guoxu Zhou, Tülay Adali, Liqing Zhang, Andrzej Cichocki
Kernel-based tensor partial least squares for reconstruction of limb movements. ICASSP (2013)
Guoxu Zhou, Andrzej Cichocki, Shengli Xie
Accelerated Canonical Polyadic Decomposition Using Mode Reduction. IEEE Trans. Neural Networks Learn. Syst. 24 (12) (2013)
Qibin Zhao, Guoxu Zhou, Tülay Adali, Liqing Zhang, Andrzej Cichocki
Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data. IEEE Signal Process. Mag. 30 (4) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Guoxu Zhou