![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
Guoxu Zhou
Person information
Refine list
![note](https://dblp1.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j73]Qi Jiang, Guoxu Zhou
, Qibin Zhao:
Semi-supervised multi-view concept decomposition. Expert Syst. Appl. 241: 122572 (2024) - [j72]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): 21-33 (2024) - [j71]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: 1-5 (2024) - [j70]Dai Chen, Guoxu Zhou
, Yuning Qiu, Yuyuan Yu:
Adaptive graph regularized non-negative Tucker decomposition for multiway dimensionality reduction. Multim. Tools Appl. 83(4): 9647-9668 (2024) - [j69]Dongping Zhang
, Haonan Huang
, Qibin Zhao
, Guoxu Zhou:
Generalized latent multi-view clustering with tensorized bipartite graph. Neural Networks 175: 106282 (2024) - [j68]Junhua Zeng, Guoxu Zhou, Yuning Qiu, Chao Li, Qibin Zhao
:
Bayesian tensor network structure search and its application to tensor completion. Neural Networks 175: 106290 (2024) - [j67]Haomin Ni, Xiaozhao Fang
, Peipei Kang, Hongbo Gao, Guoxu Zhou, Shengli Xie:
SCH: Symmetric Consistent Hashing for cross-modal retrieval. Signal Process. 215: 109255 (2024) - [j66]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): 6287-6297 (2024) - [j65]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): 429-444 (2024) - [j64]Yuning Qiu
, Guoxu Zhou
, Qibin Zhao
, Shengli Xie
:
Noisy Tensor Completion via Low-Rank Tensor Ring. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1127-1141 (2024) - [j63]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): 5953-5967 (2024) - [j62]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): 4005-4018 (2024) - [c20]Yuning Qiu, Guoxu Zhou, Andong Wang, Zhenhao Huang, Qibin Zhao:
Towards Multi-Mode Outlier Robust Tensor Ring Decomposition. AAAI 2024: 14713-14721 - [i25]Junhua Zeng, Guoxu Zhou, Chao Li, Zhun Sun, Qibin Zhao:
Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs). CoRR abs/2402.02456 (2024) - 2023
- [j61]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): 2154-2167 (2023) - [j60]Haonan Huang
, Guoxu Zhou
, Yanghang Zheng
, Zuyuan Yang, Qibin Zhao:
Exclusivity and consistency induced NMF for multi-view representation learning. Knowl. Based Syst. 281: 111020 (2023) - [j59]Jinshi Yu, Tao Zou
, Guoxu Zhou:
Low tensor-ring rank completion: parallel matrix factorization with smoothness on latent space. Neural Comput. Appl. 35(9): 7003-7016 (2023) - [j58]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): 3114-3127 (2023) - [j57]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): 2451-2465 (2023) - [c19]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 - [i24]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 abs/2303.00196 (2023) - [i23]Qi Jiang, Guoxu Zhou, Qibin Zhao:
Semi-supervised multi-view concept decomposition. CoRR abs/2307.00924 (2023) - 2022
- [j56]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): 17684-17707 (2022) - [j55]Zhi Yu
, Yihao Luo, Zhifa Liu, Guoxu Zhou:
Contour information regularized tensor ring completion for realistic image restoration. IET Image Process. 16(13): 3499-3506 (2022) - [j54]Tenghui Li, Guoxu Zhou, Yuning Qiu, Qibin Zhao:
Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective. J. Mach. Learn. Res. 23: 311:1-311:50 (2022) - [j53]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: 103657 (2022) - [j52]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: 109694 (2022) - [j51]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): 3691-3710 (2022) - [j50]Jinshi Yu, Tao Zou
, Guoxu Zhou:
Online subspace learning and imputation by Tensor-Ring decomposition. Neural Networks 153: 314-324 (2022) - [j49]Yuning Qiu, Guoxu Zhou, Junhua Zeng, Qibin Zhao, Shengli Xie:
Imbalanced low-rank tensor completion via latent matrix factorization. Neural Networks 155: 369-382 (2022) - [j48]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: 627-631 (2022) - [j47]Zhenhao Huang
, Yuning Qiu
, Jinshi Yu, Guoxu Zhou
:
Multi-Aspect Streaming Tensor Ring Completion for Dynamic Incremental Data. IEEE Signal Process. Lett. 29: 2657-2661 (2022) - [j46]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: 865-878 (2022) - [j45]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): 594-607 (2022) - [j44]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): 2440-2452 (2022) - [j43]Xiaozhao Fang
, Na Han
, Guoxu Zhou
, Shaohua Teng
, Yong Xu
, Shengli Xie
:
Dynamic Double Classifiers Approximation for Cross-Domain Recognition. IEEE Trans. Cybern. 52(4): 2618-2629 (2022) - [j42]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): 11780-11793 (2022) - [j41]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): 3587-3597 (2022) - [c18]Yapeng Ji
, Guoxu Zhou
:
Improving Adversarial Attacks with Ensemble-Based Approaches. CICAI (2) 2022: 15-29 - [c17]Haonan Huang, Yihao Luo, Guoxu Zhou, Qibin Zhao:
Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization. ICASSP 2022: 3338-3342 - [c16]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: 411-422 - [i22]Yuyuan Yu, Guoxu Zhou, Haonan Huang, Shengli Xie, Qibin Zhao:
Multi-view Data Classification with a Label-driven Auto-weighted Strategy. CoRR abs/2201.00714 (2022) - [i21]Zhenhao Huang, Guoxu Zhou, Yuning Qiu:
Bayesian Robust Tensor Ring Model for Incomplete Multiway Data. CoRR abs/2202.13321 (2022) - [i20]Yuning Qiu, Guoxu Zhou, Qibin Zhao, Shengli Xie:
Noisy Tensor Completion via Low-rank Tensor Ring. CoRR abs/2203.08857 (2022) - [i19]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 abs/2204.01732 (2022) - [i18]Peilin Yang, Weijun Sun, Qibin Zhao, Guoxu Zhou:
Latent Matrices for Tensor Network Decomposition and to Tensor Completion. CoRR abs/2210.03392 (2022) - [i17]Yichun Qiu, Weijun Sun, Guoxu Zhou, Qibin Zhao:
Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration. CoRR abs/2211.14828 (2022) - 2021
- [j40]Andong Wang
, Guoxu Zhou
, Zhong Jin
, Qibin Zhao
:
Tensor Recovery via $*_L$-Spectral $k$-Support Norm. IEEE J. Sel. Top. Signal Process. 15(3): 522-534 (2021) - [j39]Yichun Qiu, Guoxu Zhou
, Yu Zhang, Andrzej Cichocki:
Canonical polyadic decomposition (CPD) of big tensors with low multilinear rank. Multim. Tools Appl. 80(15): 22987-23007 (2021) - [j38]Andong Wang
, Guoxu Zhou, Qibin Zhao:
Guaranteed Robust Tensor Completion via ∗L-SVD with Applications to Remote Sensing Data. Remote. Sens. 13(18): 3671 (2021) - [j37]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: 598-602 (2021) - [j36]Zefeng Chen
, Guoxu Zhou
, Qibin Zhao
:
Hierarchical Factorization Strategy for High-Order Tensor and Application to Data Completion. IEEE Signal Process. Lett. 28: 1255-1259 (2021) - [j35]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): 3020-3033 (2021) - [i16]Xinhai Zhao, Yuyuan Yu, Guoxu Zhou, Qibin Zhao, Weijun Sun:
Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation. CoRR abs/2109.02314 (2021) - [i15]Tenghui Li, Guoxu Zhou, Yuning Qiu, Qibin Zhao:
Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution. CoRR abs/2110.09902 (2021) - [i14]Yuning Qiu, Guoxu Zhou, Zhenhao Huang, Qibin Zhao, Shengli Xie:
Efficient Tensor Robust PCA under Hybrid Model of Tucker and Tensor Train. CoRR abs/2112.10771 (2021) - 2020
- [j34]Xiaobo Gu
, Guoxu Zhou
, Jianzhong Li
, Shengli Xie
:
Joint Time Synchronization and Ranging for a Mobile Wireless Network. IEEE Commun. Lett. 24(10): 2363-2366 (2020) - [j33]Yali Feng, Guoxu Zhou:
Orthogonal random projection for tensor completion. IET Comput. Vis. 14(5): 233-240 (2020) - [j32]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: 108-116 (2020) - [j31]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): 6601-6609 (2020) - [j30]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: 9220-9233 (2020) - [j29]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): 589-599 (2020) - [i13]Yuyuan Yu, Guoxu Zhou, Ning Zheng, Shengli Xie, Qibin Zhao:
Graph Regularized Nonnegative Tensor Ring Decomposition for Multiway Representation Learning. CoRR abs/2010.05657 (2020) - [i12]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 abs/2012.06813 (2020)
2010 – 2019
- 2019
- [j28]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): 3322-3332 (2019) - [c15]Yuning Qiu, Guoxu Zhou, Yu Zhang, Shengli Xie:
Graph Regularized Nonnegative Tucker Decomposition for Tensor Data Representation. ICASSP 2019: 8613-8617 - [i11]Jinshi Yu, Chao Li, Qibin Zhao, Guoxu Zhou:
Tensor-Ring Nuclear Norm Minimization and Application for Visual Data Completion. CoRR abs/1903.08888 (2019) - 2018
- [j27]Jinshi Yu
, Guoxu Zhou, Andrzej Cichocki, Shengli Xie
:
Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization. IEEE Access 6: 58096-58105 (2018) - [j26]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: 302-310 (2018) - [c14]Jinshi Yu, Guoxu Zhou, Qibin Zhao, Kan Xie:
An Effective Tensor Completion Method Based on Multi-linear Tensor Ring Decomposition. APSIPA 2018: 1344-1349 - [c13]Yali Feng, Guoxu Zhou, Yuning Qiu, Weijun Sun:
Orthogonal Random Projection Based Tensor Completion for Image Recovery. APSIPA 2018: 1350-1354 - [c12]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: 1-4 - [i10]Jinshi Yu, Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization. CoRR abs/1803.07226 (2018) - 2017
- [j25]Yu Zhang
, Guoxu Zhou, Jing Jin
, Yangsong Zhang
, Xingyu Wang, Andrzej Cichocki:
Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition. Neurocomputing 225: 103-110 (2017) - [i9]Yuning Qiu, Guoxu Zhou, Kan Xie:
Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering. CoRR abs/1711.07437 (2017) - 2016
- [j24]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: 148-154 (2016) - [j23]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): 310-331 (2016) - [j22]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): 736-748 (2016) - [j21]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): 2256-2267 (2016) - [j20]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): 2426-2439 (2016) - [c11]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: 819-823 - [i8]Qibin Zhao, Guoxu Zhou, Shengli Xie, Liqing Zhang, Andrzej Cichocki:
Tensor Ring Decomposition. CoRR abs/1606.05535 (2016) - 2015
- [j19]Bo Li, Guoxu Zhou
, Andrzej Cichocki
:
Two Efficient Algorithms for Approximately Orthogonal Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 22(7): 843-846 (2015) - [j18]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): 145-163 (2015) - [j17]Guoxu Zhou
, Andrzej Cichocki
, Qibin Zhao, Shengli Xie:
Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. IEEE Trans. Image Process. 24(12): 4990-5003 (2015) - [c10]Guoxu Zhou, Andrzej Cichocki
, Danilo P. Mandic:
Common components analysis via linked blind source separation. ICASSP 2015: 2150-2154 - [i7]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 abs/1508.07416 (2015) - 2014
- [j16]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) - [j15]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) - [j14]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) - [j13]Guoxu Zhou
, Andrzej Cichocki
, Qibin Zhao, Shengli Xie:
Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective. IEEE Signal Process. Mag. 31(3): 54-65 (2014) - [c9]Qibin Zhao, Guoxu Zhou
, Liqing Zhang, Andrzej Cichocki
:
Tensor-variate Gaussian processes regression and its application to video surveillance. ICASSP 2014: 1265-1269 - [c8]Guoxu Zhou
, Qibin Zhao, Yu Zhang, Andrzej Cichocki
:
Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient. ISNN 2014: 459-468 - [i6]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 abs/1403.4462 (2014) - [i5]Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie:
Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. CoRR abs/1404.4412 (2014) - [i4]Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari:
Robust Bayesian Tensor Factorization for Incomplete Multiway Data. CoRR abs/1410.2386 (2014) - [i3]Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Decomposition of Big Tensors With Low Multilinear Rank. CoRR abs/1412.1885 (2014) - 2013
- [j12]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): 137-148 (2013) - [j11]Guoxu Zhou
, Andrzej Cichocki
, Shengli Xie:
Accelerated Canonical Polyadic Decomposition Using Mode Reduction. IEEE Trans. Neural Networks Learn. Syst. 24(12): 2051-2062 (2013) - [c7]Qibin Zhao, Guoxu Zhou
, Tülay Adali, Liqing Zhang, Andrzej Cichocki
:
Kernel-based tensor partial least squares for reconstruction of limb movements. ICASSP 2013: 3577-3581 - 2012
- [j10]Guoxu Zhou
, Andrzej Cichocki
:
Canonical Polyadic Decomposition Based on a Single Mode Blind Source Separation. IEEE Signal Process. Lett. 19(8): 523-526 (2012) - [j9]Shengli Xie, Liu Yang, Jun-Mei Yang, Guoxu Zhou
, Yong Xiang:
Time-Frequency Approach to Underdetermined Blind Source Separation. IEEE Trans. Neural Networks Learn. Syst. 23(2): 306-316 (2012) - [j8]Guoxu Zhou
, Andrzej Cichocki
, Shengli Xie:
Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation. IEEE Trans. Signal Process. 60(6): 2928-2940 (2012) - [c6]Guoxu Zhou
, Zhaoshui He, Yu Zhang
, Qibin Zhao, Andrzej Cichocki
:
Canonical Polyadic Decomposition: From 3-way to N-Way. CIS 2012: 391-395 - [c5]Yu Zhang
, Qibin Zhao, Guoxu Zhou, Xingyu Wang, Andrzej Cichocki
:
Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI. FSKD 2012: 891-895 - [c4]Fengyu Cong
, Guoxu Zhou
, Qibin Zhao, Qiang Wu, Asoke K. Nandi, Tapani Ristaniemi, Andrzej Cichocki
:
Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials. MLSP 2012: 1-6 - [i2]Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Accelerated Canonical Polyadic Decomposition by Using Mode Reduction. CoRR abs/1211.3500 (2012) - [i1]Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Common and Individual Features Analysis: Beyond Canonical Correlation Analysis. CoRR abs/1212.3913 (2012) - 2011
- [j7]Zuyuan Yang, Guoxu Zhou
, Shengli Xie, Shuxue Ding, Jun-Mei Yang, Jun Zhang:
Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization. IEEE Trans. Image Process. 20(4): 1112-1125 (2011) - [j6]Guoxu Zhou
, Zuyuan Yang, Shengli Xie, Jun-Mei Yang:
Mixing Matrix Estimation From Sparse Mixtures With Unknown Number of Sources. IEEE Trans. Neural Networks 22(2): 211-221 (2011) - [j5]Guoxu Zhou
, Zuyuan Yang, Shengli Xie, Jun-Mei Yang:
Online Blind Source Separation Using Incremental Nonnegative Matrix Factorization With Volume Constraint. IEEE Trans. Neural Networks 22(4): 550-560 (2011) - [j4]Guoxu Zhou
, Shengli Xie, Zuyuan Yang, Jun-Mei Yang, Zhaoshui He:
Minimum-Volume-Constrained Nonnegative Matrix Factorization: Enhanced Ability of Learning Parts. IEEE Trans. Neural Networks 22(10): 1626-1637 (2011) - [j3]Zhaoshui He, Shengli Xie, Rafal Zdunek
, Guoxu Zhou
, Andrzej Cichocki
:
Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering. IEEE Trans. Neural Networks 22(12): 2117-2131 (2011) - [c3]Yu Zhang
, Guoxu Zhou
, Qibin Zhao, Akinari Onishi
, Jing Jin
, Xingyu Wang, Andrzej Cichocki
:
Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs. ICONIP (1) 2011: 287-295
2000 – 2009
- 2009
- [j2]Shengli Xie, Guoxu Zhou
, Zuyuan Yang, Yuli Fu:
On Blind Separability Based on the Temporal Predictability Method. Neural Comput. 21(12): 3519-3531 (2009) - [j1]Guoxu Zhou
, Shengli Xie, Zuyuan Yang, Jun Zhang:
Nonorthogonal Approximate Joint Diagonalization With Well-Conditioned Diagonalizers. IEEE Trans. Neural Networks 20(11): 1810-1819 (2009) - [c2]Min Zhao, Weijun Li, Guoxu Zhou, Zhiheng Zhou:
Blind Sources Separation Algorithm Based on Adaptive Givens Rotations. ICNC (1) 2009: 95-99 - [c1]Zuyuan Yang, Guoxu Zhou, Shengli Xie:
Blind Extraction Using Fractional Lower-Order Statistics. ICNC (6) 2009: 569-572
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-16 00:41 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint