Guoxu Zhou

Orcid: 0000-0003-1187-577X

According to our database1, Guoxu Zhou authored at least 152 papers between 2009 and 2026.

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

Timeline

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Bibliography

2026
Priority-based task offloading of cooperative edge computing for security monitoring IoT system.
Wirel. Networks, April, 2026

Tensorized Non-Negative Multi-Attribute Subspace Clustering.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2026

Predefined-Time Dynamic Self-Triggered Approximate Optimal Control of Autonomous Surface Vehicles With Disturbances.
IEEE Trans. Cybern., April, 2026

ViBE: Visual-to-M/EEG Brain Encoding via Spatio-Temporal VAE and Distribution-Aligned Projection.
CoRR, April, 2026

Partial multi-label learning with local reconstruction and indirect guidance.
Appl. Intell., April, 2026

EANFIS: A Self Evolution-ANFIS Framework Integrated With Diffusion Model for Injection Molding Quality Prediction.
IEEE Trans. Fuzzy Syst., January, 2026

Adapting Domain-Aware Knowledge to Vision-Language Model for Zero-Shot Anomaly Detection.
IEEE Trans. Image Process., 2026

Localization Graph Generation Based Matrix Factorization for Incomplete Multi-View Clustering.
IEEE Trans. Emerg. Top. Comput., 2026

Joint low-rank and sparse components extraction for cross-domain recognition.
Pattern Recognit., 2026

Efficient and compact tensor wheel decomposition for tensor completion.
Pattern Recognit., 2026

Multi-view subspace tensorization with attentive clustering embedding.
Neural Networks, 2026

Central similarity joint-learning for cross-domain retrieval.
Neural Networks, 2026

RaLo: Rank-aware low-rank adaptation for pre-trained foundation models.
Neural Networks, 2026

MWDP: Multi-view wavelet-guided diffusion purifier for robust pattern recognition.
Neurocomputing, 2026

Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Low-Rank and Relaxed-Nonnegative Attack on Nonnegative Matrix Factorization.
IEEE Internet Things J., October, 2025

Efficient Low Rank Attention for Long-Context Inference in Large Language Models.
CoRR, October, 2025

Model-Free Game-Based Dynamic Event-Driven Safety-Critical Control of Unknown Nonaffine Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., September, 2025

Single Image Reflection Removal via inter-layer Complementarity.
CoRR, May, 2025

Balanced Unfolding Induced Tensor Nuclear Norms for High-Order Tensor Completion.
IEEE Trans. Neural Networks Learn. Syst., March, 2025

Consistency and Diversity Induced Tensorized Multi-View Subspace Clustering.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2025

Lightweightability Measurement and a General Lightweight Design Framework for On-Orbit Image Interpretation Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2025

Deep Semantic Prototype Alignment for Incomplete Multi-View Clustering.
IEEE Signal Process. Lett., 2025

Low-rank sparse fully-connected tensor network for tensor completion.
Pattern Recognit., 2025

Gradient aware adaptive quantization: Locally uniform quantization with learnable clipping thresholds for globally non-uniform weights.
Neural Networks, 2025

Unifying complete and incomplete multi-view clustering through an information-theoretic generative model.
Neural Networks, 2025

Multi-view graph clustering with Dually Enhanced Tensor Rank Minimization and Diverse Separation of Inconsistent Information.
Neural Networks, 2025

Tensor ring rank determination using odd-dimensional unfolding.
Neural Networks, 2025

Kernel Bayesian tensor ring decomposition for multiway data recovery.
Neural Networks, 2025

Low-Rank, High-Order Tensor Completion via t- Product-Induced Tucker (tTucker) Decomposition.
Neural Comput., 2025

Towards spatio-temporal representation learning for EEG classification in motor imagery-based BCI system.
Knowl. Based Syst., 2025

Scaling Capability in Token Space: An Analysis of Large Vision Language Model.
J. Mach. Learn. Res., 2025

Latent low-rank tensor wheel decomposition for visual data completion.
Neurocomputing, 2025

PLMQ: Piecewise linear mixed-precision quantization for deep neural networks.
Neurocomputing, 2025

Towards a Geometric Understanding of Tensor Learning via the t-Product.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Confidence-Aware With Prototype Alignment for Partial Multi-label Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Tensor Decomposition Based Memory-Efficient Incremental Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
An adaptive weighted self-representation method for incomplete multi-view clustering.
Int. J. Mach. Learn. Cybern., October, 2024

Towards efficient and accurate approximation: tensor decomposition based on randomized block Krylov iteration.
Signal Image Video Process., September, 2024

Bayesian Robust Tensor Ring Decomposition for Incomplete Multiway Data.
IEEE Trans. Syst. Man Cybern. Syst., July, 2024

Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

SCH: Symmetric Consistent Hashing for cross-modal retrieval.
Signal Process., February, 2024

Noisy Tensor Completion via Low-Rank Tensor Ring.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Two-Stage Asymmetric Similarity Preserving Hashing for Cross-Modal Retrieval.
IEEE Trans. Knowl. Data Eng., January, 2024

Adaptive graph regularized non-negative Tucker decomposition for multiway dimensionality reduction.
Multim. Tools Appl., January, 2024

Cooperative Localization for UAV Systems From the Perspective of Physical Clock Synchronization.
IEEE J. Sel. Areas Commun., January, 2024

Tensor-Decomposition-Based Unified Representation Learning From Distinct Data Sources For Crater Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

Generalized latent multi-view clustering with tensorized bipartite graph.
Neural Networks, 2024

Bayesian tensor network structure search and its application to tensor completion.
Neural Networks, 2024

Hyperspectral and Multispectral Image Fusion via Bayesian Nonlocal CP Factorization.
IEEE Geosci. Remote. Sens. Lett., 2024

Semi-supervised multi-view concept decomposition.
Expert Syst. Appl., 2024

Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs).
CoRR, 2024

Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs).
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Multi-Mode Outlier Robust Tensor Ring Decomposition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Exclusivity and consistency induced NMF for multi-view representation learning.
Knowl. Based Syst., December, 2023

Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation.
IEEE CAA J. Autom. Sinica, November, 2023

Robust to Rank Selection: Low-Rank Sparse Tensor-Ring Completion.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Graph-Regularized Non-Negative Tensor-Ring Decomposition for Multiway Representation Learning.
IEEE Trans. Cybern., May, 2023

Low tensor-ring rank completion: parallel matrix factorization with smoothness on latent space.
Neural Comput. Appl., March, 2023

Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Improving EEG Decoding via Clustering-Based Multitask Feature Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

A Generalized Graph Regularized Non-Negative Tucker Decomposition Framework for Tensor Data Representation.
IEEE Trans. Cybern., 2022

Average Approximate Hashing-Based Double Projections Learning for Cross-Modal Retrieval.
IEEE Trans. Cybern., 2022

Dynamic Double Classifiers Approximation for Cross-Domain Recognition.
IEEE Trans. Cybern., 2022

Accommodating Multiple Tasks' Disparities With Distributed Knowledge-Sharing Mechanism.
IEEE Trans. Cybern., 2022

Spatial Information Regularized Tensor Decomposition Framework for Super-Resolution Reconstruction of Medical MRI and Radiographs.
IEEE Trans. Computational Imaging, 2022

Efficient Tensor Robust PCA Under Hybrid Model of Tucker and Tensor Train.
IEEE Signal Process. Lett., 2022

Multi-Aspect Streaming Tensor Ring Completion for Dynamic Incremental Data.
IEEE Signal Process. Lett., 2022

Online subspace learning and imputation by Tensor-Ring decomposition.
Neural Networks, 2022

Imbalanced low-rank tensor completion via latent matrix factorization.
Neural Networks, 2022

A dynamic hypergraph regularized non-negative tucker decomposition framework for multiway data analysis.
Int. J. Mach. Learn. Cybern., 2022

A semi-supervised label-driven auto-weighted strategy for multi-view data classification.
Knowl. Based Syst., 2022

Unbiased feature generating for generalized zero-shot learning.
J. Vis. Commun. Image Represent., 2022

Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective.
J. Mach. Learn. Res., 2022

Contour information regularized tensor ring completion for realistic image restoration.
IET Image Process., 2022

Latent Matrices for Tensor Network Decomposition and to Tensor Completion.
CoRR, 2022

Bayesian Robust Tensor Ring Model for Incomplete Multiway Data.
CoRR, 2022

Multi-view Data Classification with a Label-driven Auto-weighted Strategy.
CoRR, 2022

Fast hypergraph regularized nonnegative tensor ring decomposition based on low-rank approximation.
Appl. Intell., 2022

A High-Order Tensor Completion Algorithm Based on Fully-Connected Tensor Network Weighted Optimization.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2022

Improving Adversarial Attacks with Ensemble-Based Approaches.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
Low Tensor-Ring Rank Completion by Parallel Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., 2021

Improved Clock Parameters Tracking and Ranging Method Based on Two-Way Timing Stamps Exchange Mechanism.
IEEE Signal Process. Lett., 2021

Hierarchical Factorization Strategy for High-Order Tensor and Application to Data Completion.
IEEE Signal Process. Lett., 2021

Guaranteed Robust Tensor Completion via ∗L-SVD with Applications to Remote Sensing Data.
Remote. Sens., 2021

Canonical polyadic decomposition (CPD) of big tensors with low multilinear rank.
Multim. Tools Appl., 2021

Tensor Recovery via $*_L$-Spectral $k$-Support Norm.
IEEE J. Sel. Top. Signal Process., 2021

Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution.
CoRR, 2021

Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation.
CoRR, 2021

2020
Eliminating the Permutation Ambiguity of Convolutive Blind Source Separation by Using Coupled Frequency Bins.
IEEE Trans. Neural Networks Learn. Syst., 2020

Projective Double Reconstructions Based Dictionary Learning Algorithm for Cross-Domain Recognition.
IEEE Trans. Image Process., 2020

EEG classification using sparse Bayesian extreme learning machine for brain-computer interface.
Neural Comput. Appl., 2020

Deep graph regularized non-negative matrix factorization for multi-view clustering.
Neurocomputing, 2020

Orthogonal random projection for tensor completion.
IET Comput. Vis., 2020

Joint Time Synchronization and Ranging for a Mobile Wireless Network.
IEEE Commun. Lett., 2020

Improving EEG Decoding via Clustering-based Multi-task Feature Learning.
CoRR, 2020

Graph Regularized Nonnegative Tensor Ring Decomposition for Multiway Representation Learning.
CoRR, 2020

2019
Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI.
IEEE Trans. Cybern., 2019

Tensor-Ring Nuclear Norm Minimization and Application for Visual Data Completion.
CoRR, 2019

Graph Regularized Nonnegative Tucker Decomposition for Tensor Data Representation.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces.
Expert Syst. Appl., 2018

Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization.
IEEE Access, 2018

Boosting Transfer Learning Improves Performance of Driving Drowsiness Classification Using EEG.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

An Effective Tensor Completion Method Based on Multi-linear Tensor Ring Decomposition.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Orthogonal Random Projection Based Tensor Completion for Image Recovery.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017
Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition.
Neurocomputing, 2017

Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering.
CoRR, 2017

2016
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst., 2016

Bayesian Robust Tensor Factorization for Incomplete Multiway Data.
IEEE Trans. Neural Networks Learn. Syst., 2016

Sparse Bayesian Classification of EEG for Brain-Computer Interface.
IEEE Trans. Neural Networks Learn. Syst., 2016

Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data.
Proc. IEEE, 2016

Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation.
Neurocomputing, 2016

Tensor Ring Decomposition.
CoRR, 2016

Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness.
IEEE Trans. Image Process., 2015

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis.
IEEE Signal Process. Mag., 2015

Two Efficient Algorithms for Approximately Orthogonal Nonnegative Matrix Factorization.
IEEE Signal Process. Lett., 2015

Common components analysis via linked blind source separation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective.
IEEE Signal Process. Mag., 2014

Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface.
Int. J. Neural Syst., 2014

Frequency Recognition in SSVEP-Based BCI using Multiset Canonical Correlation Analysis.
Int. J. Neural Syst., 2014

Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials.
Int. J. Neural Syst., 2014

Decomposition of Big Tensors With Low Multilinear Rank.
CoRR, 2014

Robust Bayesian Tensor Factorization for Incomplete Multiway Data.
CoRR, 2014

Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Tensor-variate Gaussian processes regression and its application to video surveillance.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Accelerated Canonical Polyadic Decomposition Using Mode Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2013

Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data.
IEEE Signal Process. Mag., 2013

Kernel-based tensor partial least squares for reconstruction of limb movements.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation.
IEEE Trans. Signal Process., 2012

Time-Frequency Approach to Underdetermined Blind Source Separation.
IEEE Trans. Neural Networks Learn. Syst., 2012

Canonical Polyadic Decomposition Based on a Single Mode Blind Source Separation.
IEEE Signal Process. Lett., 2012

Common and Individual Features Analysis: Beyond Canonical Correlation Analysis
CoRR, 2012

Accelerated Canonical Polyadic Decomposition by Using Mode Reduction
CoRR, 2012

Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

Canonical Polyadic Decomposition: From 3-way to N-Way.
Proceedings of the Eighth International Conference on Computational Intelligence and Security, 2012

2011
Online Blind Source Separation Using Incremental Nonnegative Matrix Factorization With Volume Constraint.
IEEE Trans. Neural Networks, 2011

Mixing Matrix Estimation From Sparse Mixtures With Unknown Number of Sources.
IEEE Trans. Neural Networks, 2011

Minimum-Volume-Constrained Nonnegative Matrix Factorization: Enhanced Ability of Learning Parts.
IEEE Trans. Neural Networks, 2011

Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering.
IEEE Trans. Neural Networks, 2011

Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization.
IEEE Trans. Image Process., 2011

Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2009
Nonorthogonal Approximate Joint Diagonalization With Well-Conditioned Diagonalizers.
IEEE Trans. Neural Networks, 2009

On Blind Separability Based on the Temporal Predictability Method.
Neural Comput., 2009

Blind Sources Separation Algorithm Based on Adaptive Givens Rotations.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Blind Extraction Using Fractional Lower-Order Statistics.
Proceedings of the Fifth International Conference on Natural Computation, 2009


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