Guoxu Zhou - RankMe

160 papers A* 9C 2Misc 6Journal 133Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adapting Domain-Aware Knowledge to Vision-Language Model for Zero-Shot Anomaly Detection. IEEE Trans. Image Process. Zeqi Ma, Xiaozhao Fang, Yue Huang, Jie Wen, Guoxu Zhou, Shengli Xie
2026	J	`jnl`	Central similarity joint-learning for cross-domain retrieval. Neural Networks Tianle Hu, Yu Chen, Yue Huang, Xiaozhao Fang, Jie Wen, Guoxu Zhou, Shengli Xie
2026	J	`jnl`	EANFIS: A Self Evolution-ANFIS Framework Integrated With Diffusion Model for Injection Molding Quality Prediction. IEEE Trans. Fuzzy Syst. Weijun Sun, Jiakai He, Xiyuan Yang, Chaoye Li, Lei Liu, Guoxu Zhou, Yongjun Cao
2026	J	`jnl`	Efficient and compact tensor wheel decomposition for tensor completion. Pattern Recognit. Peilin Yang, Yuning Qiu, Zhenhao Huang, Guoxu Zhou, Qibin Zhao
2026	J	`jnl`	Joint low-rank and sparse components extraction for cross-domain recognition. Pattern Recognit. Zhixiang Zeng, Weijun Sun, Xiaozhao Fang, Guoxu Zhou, Shengli Xie
2026	J	`jnl`	Localization Graph Generation Based Matrix Factorization for Incomplete Multi-View Clustering. IEEE Trans. Emerg. Top. Comput. Naiyao Liang, Zuyuan Yang, Dan Xiang, Jie Xu, Guoxu Zhou, Shengli Xie
2026	J	`jnl`	MWDP: Multi-view wavelet-guided diffusion purifier for robust pattern recognition. Neurocomputing Junpeng Zeng, Yichun Qiu, Guoxu Zhou
2026	J	`jnl`	Multi-view subspace tensorization with attentive clustering embedding. Neural Networks Yanghang Zheng, Haonan Huang, Yihao Luo, Yuning Qiu, Andong Wang, Guoxu Zhou, Qibin Zhao
2026	J	`jnl`	Predefined-Time Dynamic Self-Triggered Approximate Optimal Control of Autonomous Surface Vehicles With Disturbances. IEEE Trans. Cybern. Yongwei Zhang, Weifeng Zhong, Guoxu Zhou, Lihua Xie, Shengli Xie
2026	A*	`conf`	Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval. AAAI Tianle Hu, Weijun Lv, Na Han, Xiaozhao Fang, Jie Wen, Jiaxing Li, Guoxu Zhou
2026	J	`jnl`	RaLo: Rank-aware low-rank adaptation for pre-trained foundation models. Neural Networks Yunsong Deng, Guoxu Zhou, Qibin Zhao
2026	J	`jnl`	Tensorized Non-Negative Multi-Attribute Subspace Clustering. IEEE Trans. Emerg. Top. Comput. Intell. Zixuan Lin, Guoxu Zhou, Haonan Huang, Zhenhao Huang, Yuning Qiu, Qibin Zhao, Shengli Xie
2025	J	`jnl`	Balanced Unfolding Induced Tensor Nuclear Norms for High-Order Tensor Completion. IEEE Trans. Neural Networks Learn. Syst. Yuning Qiu, Guoxu Zhou, Andong Wang, Qibin Zhao, Shengli Xie
2025	J	`jnl`	Consistency and Diversity Induced Tensorized Multi-View Subspace Clustering. IEEE Trans. Emerg. Top. Comput. Intell. Chunming Xiao, Yonghui Huang, Haonan Huang, Qibin Zhao, Guoxu Zhou
2025	J	`jnl`	Deep Semantic Prototype Alignment for Incomplete Multi-View Clustering. IEEE Signal Process. Lett. Zixuan Lin, Guoxu Zhou, Zhenhao Huang, Haonan Huang, Qibin Zhao, Shengli Xie
2025	J	`jnl`	Efficient Low Rank Attention for Long-Context Inference in Large Language Models. CoRR Tenghui Li, Guoxu Zhou, Xuyang Zhao, Yuning Qiu, Qibin Zhao
2025	J	`jnl`	Gradient aware adaptive quantization: Locally uniform quantization with learnable clipping thresholds for globally non-uniform weights. Neural Networks Kang Zhou, Yuning Qiu, Yuhang Li, Qibin Zhao, Guoxu Zhou
2025	J	`jnl`	Kernel Bayesian tensor ring decomposition for multiway data recovery. Neural Networks Zhenhao Huang, Guoxu Zhou, Yuning Qiu, Xinqi Chen, Qibin Zhao
2025	J	`jnl`	Latent low-rank tensor wheel decomposition for visual data completion. Neurocomputing Yihao Luo, Yuning Qiu, Peilin Yang, Hongxia Rao, Zhenhao Huang, Guoxu Zhou
2025	J	`jnl`	Lightweightability Measurement and a General Lightweight Design Framework for On-Orbit Image Interpretation Neural Networks. IEEE Trans. Geosci. Remote. Sens. Yanhua Pang, Guoxu Zhou, Xin Meng, Haipeng Wang, Hao Liu, Xinlong Pan, Bo Chen
2025	A*	`conf`	Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression. ICML Andong Wang, Yuning Qiu, Zhong Jin, Guoxu Zhou, Qibin Zhao
2025	J	`jnl`	Low-Rank and Relaxed-Nonnegative Attack on Nonnegative Matrix Factorization. IEEE Internet Things J. Yichun Qiu, Chao Li, Guoxu Zhou, Qibin Zhao, Shengli Xie
2025	J	`jnl`	Low-Rank, High-Order Tensor Completion via t- Product-Induced Tucker (tTucker) Decomposition. Neural Comput. Yaodong Li, Jun Tan, Peilin Yang, Guoxu Zhou, Qibin Zhao
2025	J	`jnl`	Low-rank sparse fully-connected tensor network for tensor completion. Pattern Recognit. Jinshi Yu, Zhifu Li, Ge Ma, Jingwen Wang, Tao Zou, Guoxu Zhou
2025	J	`jnl`	Model-Free Game-Based Dynamic Event-Driven Safety-Critical Control of Unknown Nonaffine Systems. IEEE Trans. Circuits Syst. I Regul. Pap. Yongwei Zhang, Weifeng Zhong, Guoxu Zhou, Lihua Xie, Shengli Xie
2025	J	`jnl`	Multi-view graph clustering with Dually Enhanced Tensor Rank Minimization and Diverse Separation of Inconsistent Information. Neural Networks Weijun Sun, Chaoye Li, Jiakai He, Xiaozhao Fang, Guoxu Zhou, Xiyuan Yang, Kangsheng Wu
2025	J	`jnl`	PLMQ: Piecewise linear mixed-precision quantization for deep neural networks. Neurocomputing Chao Feng, Guoxu Zhou, Xun Wu, Qibin Zhao
2025	J	`jnl`	Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval. CoRR Tianle Hu, Weijun Lv, Na Han, Xiaozhao Fang, Jie Wen, Jiaxing Li, Guoxu Zhou
2025	A*	`conf`	STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search. CVPR Yuning Qiu, Andong Wang, Chao Li, Haonan Huang, Guoxu Zhou, Qibin Zhao
2025	J	`jnl`	Scaling Capability in Token Space: An Analysis of Large Vision Language Model. J. Mach. Learn. Res. Tenghui Li, Guoxu Zhou, Xuyang Zhao, Qibin Zhao
2025	J	`jnl`	Single Image Reflection Removal via inter-layer Complementarity. CoRR Yue Huang, Zi'ang Li, Tianle Hu, Jie Wen, Guanbin Li, Jinglin Zhang, Guoxu Zhou, Xiaozhao Fang
2025	A*	`conf`	Tensor Decomposition Based Memory-Efficient Incremental Learning. ICML Yuhang Li, Guoxu Zhou, Zhenhao Huang, Xinqi Chen, Yuning Qiu, Qibin Zhao
2025	J	`jnl`	Tensor ring rank determination using odd-dimensional unfolding. Neural Networks Yichun Qiu, Guoxu Zhou, Chao Li, Danilo P. Mandic, Qibin Zhao
2025	J	`jnl`	Towards spatio-temporal representation learning for EEG classification in motor imagery-based BCI system. Knowl. Based Syst. Siwei Liu, Jia Zhang, Hanrui Wu, Guoxu Zhou, Qibin Zhao, Jinyi Long
2025	J	`jnl`	Unifying complete and incomplete multi-view clustering through an information-theoretic generative model. Neural Networks Yanghang Zheng, Guoxu Zhou, Haonan Huang, Xintao Luo, Zhenhao Huang, Qibin Zhao
2024	J	`jnl`	Adaptive graph regularized non-negative Tucker decomposition for multiway dimensionality reduction. Multim. Tools Appl. Dai Chen, Guoxu Zhou, Yuning Qiu, Yuyuan Yu
2024	A*	`conf`	Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework. ICML Haonan Huang, Guoxu Zhou, Yanghang Zheng, Yuning Qiu, Andong Wang, Qibin Zhao
2024	J	`jnl`	An adaptive weighted self-representation method for incomplete multi-view clustering. Int. J. Mach. Learn. Cybern. Lishan Feng, Guoxu Zhou, Jingya Chang
2024	J	`jnl`	Bayesian Robust Tensor Ring Decomposition for Incomplete Multiway Data. IEEE Trans. Syst. Man Cybern. Syst. Zhenhao Huang, Yuning Qiu, Xinqi Chen, Weijun Sun, Guoxu Zhou
2024	J	`jnl`	Bayesian tensor network structure search and its application to tensor completion. Neural Networks Junhua Zeng, Guoxu Zhou, Yuning Qiu, Chao Li, Qibin Zhao
2024	J	`jnl`	Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. Haonan Huang, Guoxu Zhou, Qibin Zhao, Lifang He, Shengli Xie
2024	J	`jnl`	Cooperative Localization for UAV Systems From the Perspective of Physical Clock Synchronization. IEEE J. Sel. Areas Commun. Xiaobo Gu, Chengye Zheng, Zeyu Li, Guoxu Zhou, Haibo Zhou, Lian Zhao
2024	J	`jnl`	Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs). CoRR Junhua Zeng, Guoxu Zhou, Chao Li, Zhun Sun, Qibin Zhao
2024	A*	`conf`	Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts. NeurIPS Andong Wang, Yuning Qiu, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao
2024	J	`jnl`	Generalized latent multi-view clustering with tensorized bipartite graph. Neural Networks Dongping Zhang, Haonan Huang, Qibin Zhao, Guoxu Zhou
2024	J	`jnl`	Hyperspectral and Multispectral Image Fusion via Bayesian Nonlocal CP Factorization. IEEE Geosci. Remote. Sens. Lett. Junhua Zeng, Guoxu Zhou, Yuning Qiu, Yumeng Ma, Qibin Zhao
2024	J	`jnl`	Noisy Tensor Completion via Low-Rank Tensor Ring. IEEE Trans. Neural Networks Learn. Syst. Yuning Qiu, Guoxu Zhou, Qibin Zhao, Shengli Xie
2024	J	`jnl`	SCH: Symmetric Consistent Hashing for cross-modal retrieval. Signal Process. Haomin Ni, Xiaozhao Fang, Peipei Kang, Hongbo Gao, Guoxu Zhou, Shengli Xie
2024	J	`jnl`	Scaling Capability in Token Space: An Analysis of Large Vision Language Model. CoRR Tenghui Li, Guoxu Zhou, Xuyang Zhao, Qibin Zhao
2024	J	`jnl`	Semi-supervised multi-view concept decomposition. Expert Syst. Appl. Qi Jiang, Guoxu Zhou, Qibin Zhao
2024	J	`jnl`	Tensor-Decomposition-Based Unified Representation Learning From Distinct Data Sources For Crater Detection. IEEE Trans. Geosci. Remote. Sens. Xinqi Chen, Guoxu Zhou, Zhenhao Huang, Shengli Xie
2024	A*	`conf`	Towards Multi-Mode Outlier Robust Tensor Ring Decomposition. AAAI Yuning Qiu, Guoxu Zhou, Andong Wang, Zhenhao Huang, Qibin Zhao
2024	J	`jnl`	Towards efficient and accurate approximation: tensor decomposition based on randomized block Krylov iteration. Signal Image Video Process. Yichun Qiu, Weijun Sun, Guoxu Zhou, Qibin Zhao
2024	J	`jnl`	Two-Stage Asymmetric Similarity Preserving Hashing for Cross-Modal Retrieval. IEEE Trans. Knowl. Data Eng. Junfan Huang, Peipei Kang, Na Han, Yonghao Chen, Xiaozhao Fang, Hongbo Gao, Guoxu Zhou
2024	A*	`conf`	tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs). ICML Junhua Zeng, Chao Li, Zhun Sun, Qibin Zhao, Guoxu Zhou
2023	J	`jnl`	Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation. IEEE CAA J. Autom. Sinica Haonan Huang, Guoxu Zhou, Naiyao Liang, Qibin Zhao, Shengli Xie
2023	J	`jnl`	Exclusivity and consistency induced NMF for multi-view representation learning. Knowl. Based Syst. Haonan Huang, Guoxu Zhou, Yanghang Zheng, Zuyuan Yang, Qibin Zhao
2023	J	`jnl`	Graph-Regularized Non-Negative Tensor-Ring Decomposition for Multiway Representation Learning. IEEE Trans. Cybern. Yuyuan Yu, Guoxu Zhou, Ning Zheng, Yuning Qiu, Shengli Xie, Qibin Zhao
2023	J	`jnl`	Low tensor-ring rank completion: parallel matrix factorization with smoothness on latent space. Neural Comput. Appl. Jinshi Yu, Tao Zou, Guoxu Zhou
2023	J	`jnl`	Robust to Rank Selection: Low-Rank Sparse Tensor-Ring Completion. IEEE Trans. Neural Networks Learn. Syst. Jinshi Yu, Guoxu Zhou, Weijun Sun, Shengli Xie
2023	J	`jnl`	Semi-supervised multi-view concept decomposition. CoRR Qi Jiang, Guoxu Zhou, Qibin Zhao
2023	A*	`conf`	Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks. NeurIPS Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao
2023	J	`jnl`	Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks. CoRR Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao
2022	J	`jnl`	A Generalized Graph Regularized Non-Negative Tucker Decomposition Framework for Tensor Data Representation. IEEE Trans. Cybern. Yuning Qiu, Guoxu Zhou, Yanjiao Wang, Yu Zhang, Shengli Xie
2022	—	`conf`	A High-Order Tensor Completion Algorithm Based on Fully-Connected Tensor Network Weighted Optimization. PRCV (1) Peilin Yang, Yonghui Huang, Yuning Qiu, Weijun Sun, Guoxu Zhou
2022	J	`jnl`	A dynamic hypergraph regularized non-negative tucker decomposition framework for multiway data analysis. Int. J. Mach. Learn. Cybern. Zhenhao Huang, Guoxu Zhou, Yuning Qiu, Yuyuan Yu, Haolei Dai
2022	J	`jnl`	A high-order tensor completion algorithm based on Fully-Connected Tensor Network weighted optimization. CoRR Peilin Yang, Yonghui Huang, Yuning Qiu, Weijun Sun, Guoxu Zhou
2022	J	`jnl`	A semi-supervised label-driven auto-weighted strategy for multi-view data classification. Knowl. Based Syst. Yuyuan Yu, Guoxu Zhou, Haonan Huang, Shengli Xie, Qibin Zhao
2022	J	`jnl`	Accommodating Multiple Tasks' Disparities With Distributed Knowledge-Sharing Mechanism. IEEE Trans. Cybern. Xinqi Chen, Guoxu Zhou, Yanjiao Wang, Ming Hou, Qibin Zhao, Shengli Xie
2022	J	`jnl`	Average Approximate Hashing-Based Double Projections Learning for Cross-Modal Retrieval. IEEE Trans. Cybern. Xiaozhao Fang, Kaihang Jiang, Na Han, Shaohua Teng, Guoxu Zhou, Shengli Xie
2022	J	`jnl`	Bayesian Robust Tensor Ring Model for Incomplete Multiway Data. CoRR Zhenhao Huang, Guoxu Zhou, Yuning Qiu
2022	J	`jnl`	Contour information regularized tensor ring completion for realistic image restoration. IET Image Process. Zhi Yu, Yihao Luo, Zhifa Liu, Guoxu Zhou
2022	J	`jnl`	Dynamic Double Classifiers Approximation for Cross-Domain Recognition. IEEE Trans. Cybern. Xiaozhao Fang, Na Han, Guoxu Zhou, Shaohua Teng, Yong Xu, Shengli Xie
2022	J	`jnl`	Efficient Tensor Robust PCA Under Hybrid Model of Tucker and Tensor Train. IEEE Signal Process. Lett. Yuning Qiu, Guoxu Zhou, Zhenhao Huang, Qibin Zhao, Shengli Xie
2022	J	`jnl`	Fast hypergraph regularized nonnegative tensor ring decomposition based on low-rank approximation. Appl. Intell. Xinhai Zhao, Yuyuan Yu, Guoxu Zhou, Qibin Zhao, Weijun Sun
2022	J	`jnl`	Imbalanced low-rank tensor completion via latent matrix factorization. Neural Networks Yuning Qiu, Guoxu Zhou, Junhua Zeng, Qibin Zhao, Shengli Xie
2022	—	`conf`	Improving Adversarial Attacks with Ensemble-Based Approaches. CICAI (2) Yapeng Ji, Guoxu Zhou
2022	J	`jnl`	Improving EEG Decoding via Clustering-Based Multitask Feature Learning. IEEE Trans. Neural Networks Learn. Syst. Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki
2022	J	`jnl`	Latent Matrices for Tensor Network Decomposition and to Tensor Completion. CoRR Peilin Yang, Weijun Sun, Qibin Zhao, Guoxu Zhou
2022	J	`jnl`	Multi-Aspect Streaming Tensor Ring Completion for Dynamic Incremental Data. IEEE Signal Process. Lett. Zhenhao Huang, Yuning Qiu, Jinshi Yu, Guoxu Zhou
2022	Misc	`conf`	Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization. ICASSP Haonan Huang, Yihao Luo, Guoxu Zhou, Qibin Zhao
2022	J	`jnl`	Multi-view Data Classification with a Label-driven Auto-weighted Strategy. CoRR Yuyuan Yu, Guoxu Zhou, Haonan Huang, Shengli Xie, Qibin Zhao
2022	J	`jnl`	Noisy Tensor Completion via Low-rank Tensor Ring. CoRR Yuning Qiu, Guoxu Zhou, Qibin Zhao, Shengli Xie
2022	J	`jnl`	Online subspace learning and imputation by Tensor-Ring decomposition. Neural Networks Jinshi Yu, Tao Zou, Guoxu Zhou
2022	J	`jnl`	Spatial Information Regularized Tensor Decomposition Framework for Super-Resolution Reconstruction of Medical MRI and Radiographs. IEEE Trans. Computational Imaging Xinqi Chen, Yuning Qiu, Weicai Liang, Guoxu Zhou, Shengli Xie
2022	J	`jnl`	Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective. J. Mach. Learn. Res. Tenghui Li, Guoxu Zhou, Yuning Qiu, Qibin Zhao
2022	J	`jnl`	Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration. CoRR Yichun Qiu, Weijun Sun, Guoxu Zhou, Qibin Zhao
2022	J	`jnl`	Unbiased feature generating for generalized zero-shot learning. J. Vis. Commun. Image Represent. Chang Niu, Junyuan Shang, Junchu Huang, Junmei Yang, Yuting Song, Zhiheng Zhou, Guoxu Zhou
2021	J	`jnl`	Canonical polyadic decomposition (CPD) of big tensors with low multilinear rank. Multim. Tools Appl. Yichun Qiu, Guoxu Zhou, Yu Zhang, Andrzej Cichocki
2021	J	`jnl`	Efficient Tensor Robust PCA under Hybrid Model of Tucker and Tensor Train. CoRR Yuning Qiu, Guoxu Zhou, Zhenhao Huang, Qibin Zhao, Shengli Xie
2021	J	`jnl`	Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation. CoRR Xinhai Zhao, Yuyuan Yu, Guoxu Zhou, Qibin Zhao, Weijun Sun
2021	J	`jnl`	Guaranteed Robust Tensor Completion via ∗L-SVD with Applications to Remote Sensing Data. Remote. Sens. Andong Wang, Guoxu Zhou, Qibin Zhao
2021	J	`jnl`	Hierarchical Factorization Strategy for High-Order Tensor and Application to Data Completion. IEEE Signal Process. Lett. Zefeng Chen, Guoxu Zhou, Qibin Zhao
2021	J	`jnl`	Improved Clock Parameters Tracking and Ranging Method Based on Two-Way Timing Stamps Exchange Mechanism. IEEE Signal Process. Lett. Xiaobo Gu, Jianzhong Li, Guoxu Zhou, Shengli Xie
2021	J	`jnl`	Low Tensor-Ring Rank Completion by Parallel Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. Jinshi Yu, Guoxu Zhou, Chao Li, Qibin Zhao, Shengli Xie
2021	J	`jnl`	Tensor Recovery via $*_L$-Spectral $k$-Support Norm. IEEE J. Sel. Top. Signal Process. Andong Wang, Guoxu Zhou, Zhong Jin, Qibin Zhao
2021	J	`jnl`	Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution. CoRR Tenghui Li, Guoxu Zhou, Yuning Qiu, Qibin Zhao
2020	J	`jnl`	Deep graph regularized non-negative matrix factorization for multi-view clustering. Neurocomputing Jianqiang Li, Guoxu Zhou, Yuning Qiu, Yanjiao Wang, Yu Zhang, Shengli Xie
2020	J	`jnl`	EEG classification using sparse Bayesian extreme learning machine for brain-computer interface. Neural Comput. Appl. Zhichao Jin, Guoxu Zhou, Daqi Gao, Yu Zhang
2020	J	`jnl`	Eliminating the Permutation Ambiguity of Convolutive Blind Source Separation by Using Coupled Frequency Bins. IEEE Trans. Neural Networks Learn. Syst. Kan Xie, Guoxu Zhou, Junjie Yang, Zhaoshui He, Shengli Xie
2020	J	`jnl`	Graph Regularized Nonnegative Tensor Ring Decomposition for Multiway Representation Learning. CoRR Yuyuan Yu, Guoxu Zhou, Ning Zheng, Shengli Xie, Qibin Zhao
2020	J	`jnl`	Improving EEG Decoding via Clustering-based Multi-task Feature Learning. CoRR Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki
2020	J	`jnl`	Joint Time Synchronization and Ranging for a Mobile Wireless Network. IEEE Commun. Lett. Xiaobo Gu, Guoxu Zhou, Jianzhong Li, Shengli Xie
2020	J	`jnl`	Orthogonal random projection for tensor completion. IET Comput. Vis. Yali Feng, Guoxu Zhou
2020	J	`jnl`	Projective Double Reconstructions Based Dictionary Learning Algorithm for Cross-Domain Recognition. IEEE Trans. Image Process. Na Han, Jigang Wu, Xiaozhao Fang, Shaohua Teng, Guoxu Zhou, Shengli Xie, Xuelong Li
2019	Misc	`conf`	Graph Regularized Nonnegative Tucker Decomposition for Tensor Data Representation. ICASSP Yuning Qiu, Guoxu Zhou, Yu Zhang, Shengli Xie
2019	J	`jnl`	Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI. IEEE Trans. Cybern. Yu Zhang, Chang S. Nam, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki
2019	J	`jnl`	Tensor-Ring Nuclear Norm Minimization and Application for Visual Data Completion. CoRR Jinshi Yu, Chao Li, Qibin Zhao, Guoxu Zhou
2018	—	`conf`	An Effective Tensor Completion Method Based on Multi-linear Tensor Ring Decomposition. APSIPA Jinshi Yu, Guoxu Zhou, Qibin Zhao, Kan Xie
2018	—	`conf`	Boosting Transfer Learning Improves Performance of Driving Drowsiness Classification Using EEG. PRNI Jiancong He, Guoxu Zhou, Hongtao Wang, Evangelos Sigalas, Nitish V. Thakor, Anastasios Bezerianos, Junhua Li
2018	J	`jnl`	Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization. IEEE Access Jinshi Yu, Guoxu Zhou, Andrzej Cichocki, Shengli Xie
2018	J	`jnl`	Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization. CoRR Jinshi Yu, Guoxu Zhou, Andrzej Cichocki, Shengli Xie
2018	J	`jnl`	Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces. Expert Syst. Appl. Yu Zhang, Yu Wang, Guoxu Zhou, Jing Jin, Bei Wang, Xingyu Wang, Andrzej Cichocki
2018	—	`conf`	Orthogonal Random Projection Based Tensor Completion for Image Recovery. APSIPA Yali Feng, Guoxu Zhou, Yuning Qiu, Weijun Sun
2017	J	`jnl`	Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering. CoRR Yuning Qiu, Guoxu Zhou, Kan Xie
2017	J	`jnl`	Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition. Neurocomputing Yu Zhang, Guoxu Zhou, Jing Jin, Yangsong Zhang, Xingyu Wang, Andrzej Cichocki
2016	J	`jnl`	Bayesian Robust Tensor Factorization for Incomplete Multiway Data. IEEE Trans. Neural Networks Learn. Syst. Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari
2016	J	`jnl`	Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation. Neurocomputing Yu Zhang, Guoxu Zhou, Qibin Zhao, Andrzej Cichocki, Xingyu Wang
2016	J	`jnl`	Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. Guoxu Zhou, Andrzej Cichocki, Yu Zhang, Danilo P. Mandic
2016	J	`jnl`	Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data. Proc. IEEE Guoxu Zhou, Qibin Zhao, Yu Zhang, Tülay Adali, Shengli Xie, Andrzej Cichocki
2016	Misc	`conf`	Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion. ICASSP Yu Zhang, Qibin Zhao, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki
2016	J	`jnl`	Sparse Bayesian Classification of EEG for Brain-Computer Interface. IEEE Trans. Neural Networks Learn. Syst. Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao, Xingyu Wang, Andrzej Cichocki
2016	J	`jnl`	Tensor Ring Decomposition. CoRR Qibin Zhao, Guoxu Zhou, Shengli Xie, Liqing Zhang, Andrzej Cichocki
2015	Misc	`conf`	Common components analysis via linked blind source separation. ICASSP Guoxu Zhou, Andrzej Cichocki, Danilo P. Mandic
2015	J	`jnl`	Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. IEEE Trans. Image Process. Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie
2015	J	`jnl`	Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data. CoRR Guoxu Zhou, Qibin Zhao, Yu Zhang, Tülay Adali, Shengli Xie, Andrzej Cichocki
2015	J	`jnl`	Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis. IEEE Signal Process. Mag. Andrzej Cichocki, Danilo P. Mandic, Lieven De Lathauwer, Guoxu Zhou, Qibin Zhao, Cesar F. Caiafa, Anh Huy Phan
2015	J	`jnl`	Two Efficient Algorithms for Approximately Orthogonal Nonnegative Matrix Factorization. IEEE Signal Process. Lett. Bo Li, Guoxu Zhou, Andrzej Cichocki
2014	J	`jnl`	Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface. Int. J. Neural Syst. Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao, Xingyu Wang, Andrzej Cichocki
2014	J	`jnl`	Decomposition of Big Tensors With Low Multilinear Rank. CoRR Guoxu Zhou, Andrzej Cichocki, Shengli Xie
2014	J	`jnl`	Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. CoRR Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie
2014	C	`conf`	Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient. ISNN Guoxu Zhou, Qibin Zhao, Yu Zhang, Andrzej Cichocki
2014	J	`jnl`	Frequency Recognition in SSVEP-Based BCI using Multiset Canonical Correlation Analysis. Int. J. Neural Syst. Yu Zhang, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki
2014	J	`jnl`	Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials. Int. J. Neural Syst. Fengyu Cong, Guoxu Zhou, Piia Astikainen, Qibin Zhao, Qiang Wu, Asoke K. Nandi, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki
2014	J	`jnl`	Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective. IEEE Signal Process. Mag. Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie
2014	J	`jnl`	Robust Bayesian Tensor Factorization for Incomplete Multiway Data. CoRR Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari
2014	J	`jnl`	Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis. CoRR Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, Cesar F. Caiafa, Guoxu Zhou, Qibin Zhao, Lieven De Lathauwer
2014	Misc	`conf`	Tensor-variate Gaussian processes regression and its application to video surveillance. ICASSP Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki
2013	J	`jnl`	Accelerated Canonical Polyadic Decomposition Using Mode Reduction. IEEE Trans. Neural Networks Learn. Syst. Guoxu Zhou, Andrzej Cichocki, Shengli Xie
2013	Misc	`conf`	Kernel-based tensor partial least squares for reconstruction of limb movements. ICASSP Qibin Zhao, Guoxu Zhou, Tülay Adali, Liqing Zhang, Andrzej Cichocki
2013	J	`jnl`	Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data. IEEE Signal Process. Mag. Qibin Zhao, Guoxu Zhou, Tülay Adali, Liqing Zhang, Andrzej Cichocki
2012	J	`jnl`	Accelerated Canonical Polyadic Decomposition by Using Mode Reduction CoRR Guoxu Zhou, Andrzej Cichocki, Shengli Xie
2012	J	`jnl`	Canonical Polyadic Decomposition Based on a Single Mode Blind Source Separation. IEEE Signal Process. Lett. Guoxu Zhou, Andrzej Cichocki
2012	C	`conf`	Canonical Polyadic Decomposition: From 3-way to N-Way. CIS Guoxu Zhou, Zhaoshui He, Yu Zhang, Qibin Zhao, Andrzej Cichocki
2012	J	`jnl`	Common and Individual Features Analysis: Beyond Canonical Correlation Analysis CoRR Guoxu Zhou, Andrzej Cichocki, Shengli Xie
2012	J	`jnl`	Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation. IEEE Trans. Signal Process. Guoxu Zhou, Andrzej Cichocki, Shengli Xie
2012	—	`conf`	Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI. FSKD Yu Zhang, Qibin Zhao, Guoxu Zhou, Xingyu Wang, Andrzej Cichocki
2012	—	`conf`	Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials. MLSP Fengyu Cong, Guoxu Zhou, Qibin Zhao, Qiang Wu, Asoke K. Nandi, Tapani Ristaniemi, Andrzej Cichocki
2012	J	`jnl`	Time-Frequency Approach to Underdetermined Blind Source Separation. IEEE Trans. Neural Networks Learn. Syst. Shengli Xie, Liu Yang, Jun-Mei Yang, Guoxu Zhou, Yong Xiang
2011	J	`jnl`	Blind Spectral Unmixing Based on Sparse Nonnegative Matrix Factorization. IEEE Trans. Image Process. Zuyuan Yang, Guoxu Zhou, Shengli Xie, Shuxue Ding, Jun-Mei Yang, Jun Zhang
2011	J	`jnl`	Minimum-Volume-Constrained Nonnegative Matrix Factorization: Enhanced Ability of Learning Parts. IEEE Trans. Neural Networks Guoxu Zhou, Shengli Xie, Zuyuan Yang, Jun-Mei Yang, Zhaoshui He
2011	J	`jnl`	Mixing Matrix Estimation From Sparse Mixtures With Unknown Number of Sources. IEEE Trans. Neural Networks Guoxu Zhou, Zuyuan Yang, Shengli Xie, Jun-Mei Yang
2011	—	`conf`	Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs. ICONIP (1) Yu Zhang, Guoxu Zhou, Qibin Zhao, Akinari Onishi, Jing Jin, Xingyu Wang, Andrzej Cichocki
2011	J	`jnl`	Online Blind Source Separation Using Incremental Nonnegative Matrix Factorization With Volume Constraint. IEEE Trans. Neural Networks Guoxu Zhou, Zuyuan Yang, Shengli Xie, Jun-Mei Yang
2011	J	`jnl`	Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering. IEEE Trans. Neural Networks Zhaoshui He, Shengli Xie, Rafal Zdunek, Guoxu Zhou, Andrzej Cichocki
2009	—	`conf`	Blind Extraction Using Fractional Lower-Order Statistics. ICNC (6) Zuyuan Yang, Guoxu Zhou, Shengli Xie
2009	—	`conf`	Blind Sources Separation Algorithm Based on Adaptive Givens Rotations. ICNC (1) Min Zhao, Weijun Li, Guoxu Zhou, Zhiheng Zhou
2009	J	`jnl`	Nonorthogonal Approximate Joint Diagonalization With Well-Conditioned Diagonalizers. IEEE Trans. Neural Networks Guoxu Zhou, Shengli Xie, Zuyuan Yang, Jun Zhang
2009	J	`jnl`	On Blind Separability Based on the Temporal Predictability Method. Neural Comput. Shengli Xie, Guoxu Zhou, Zuyuan Yang, Yuli Fu
2008	J	`jnl`	Source number estimation and separation algorithms of underdetermined blind separation. Sci. China Ser. F Inf. Sci. Zuyuan Yang, Beihai Tan, Guoxu Zhou, Jinlong Zhang