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2020 – today
- 2025
[j76]Jinshi Yu, Zhifu Li
, Ge Ma, Jingwen Wang, Tao Zou, Guoxu Zhou:
Low-rank sparse fully-connected tensor network for tensor completion. Pattern Recognit. 158: 111000 (2025)- 2024
- [j75]Qi Jiang, Guoxu Zhou, Qibin Zhao:
Semi-supervised multi-view concept decomposition. Expert Syst. Appl. 241: 122572 (2024) - [j74]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) - [j73]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) - [j72]Lishan Feng, Guoxu Zhou, Jingya Chang:
An adaptive weighted self-representation method for incomplete multi-view clustering. Int. J. Mach. Learn. Cybern. 15(10): 4521-4536 (2024) - [j71]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) - [j70]Dongping Zhang, Haonan Huang, Qibin Zhao, Guoxu Zhou:
Generalized latent multi-view clustering with tensorized bipartite graph. Neural Networks 175: 106282 (2024) - [j69]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) - [j68]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) - [j67]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): 6287-6297 (2024) - [j66]Xinqi Chen, Guoxu Zhou, Zhenhao Huang, Shengli Xie:
Tensor-Decomposition-Based Unified Representation Learning From Distinct Data Sources For Crater Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (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) - [c22]Yuning Qiu, Guoxu Zhou, Andong Wang, Zhenhao Huang, Qibin Zhao:
Towards Multi-Mode Outlier Robust Tensor Ring Decomposition. AAAI 2024: 14713-14721 - [c21]Haonan Huang, Guoxu Zhou, Yanghang Zheng, Yuning Qiu, Andong Wang, Qibin Zhao:
Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework. ICML 2024 - [c20]Junhua Zeng, Chao Li, Zhun Sun, Qibin Zhao, Guoxu Zhou:
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs). ICML 2024 - [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
[j75] [j73] [j70] [j69] [j67] [j64] [j63] [c22] [c21] [c20] [i25] [j61] [j60] [j58] [c19] [i24] [i23] [j56] [j54] [j52] [j49] [j48] [j44] [c17] [i22] [i20] [i18] [i17] [j40] [j38] [j36] [j35] [i16] [i15] [i14] [i13] [i11] [c14] [j24] [j23] [j22] [j21] [c11] [i8] [j18] [j17] [i7] [j16] [j14] [j13] [c9] [c8] [i6] [i5] [i4] [j12] [c7] [c6] [c5] [c4] [c3]
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