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2020 – today
- 2025
[j78]Yanghang Zheng, Guoxu Zhou, Haonan Huang, Xintao Luo, Zhenhao Huang
, Qibin Zhao:
Unifying complete and incomplete multi-view clustering through an information-theoretic generative model. Neural Networks 182: 106901 (2025)- [j77]Yichun Qiu, Guoxu Zhou, Chao Li, Danilo P. Mandic, Qibin Zhao:
Tensor ring rank determination using odd-dimensional unfolding. Neural Networks 183: 106947 (2025) - [j76]Wanqi Zhou, Shuanghao Bai, Yuqing Xie, Yicong He, Qibin Zhao, Badong Chen:
An information-theoretic approach for heterogeneous differentiable causal discovery. Neural Networks 188: 107417 (2025) - [j75]Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao:
Defending adversarial attacks in Graph Neural Networks via tensor enhancement. Pattern Recognit. 158: 110954 (2025) - [j74]Chunming Xiao, Yonghui Huang, Haonan Huang, Qibin Zhao, Guoxu Zhou:
Consistency and Diversity Induced Tensorized Multi-View Subspace Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 798-809 (2025) - [j73]Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Qibin Zhao:
Tensor Robust Kernel PCA for Multidimensional Data. IEEE Trans. Neural Networks Learn. Syst. 36(2): 2662-2674 (2025) - [j72]Hejia Qiu, Chao Li, Ying Weng, Zhun Sun, Qibin Zhao:
Fractional Tensor Recurrent Unit (fTRU): A Stable Forecasting Model With Long Memory. IEEE Trans. Neural Networks Learn. Syst. 36(2): 3598-3607 (2025) - [j71]Yuning Qiu, Guoxu Zhou, Andong Wang, Qibin Zhao, Shengli Xie:
Balanced Unfolding Induced Tensor Nuclear Norms for High-Order Tensor Completion. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4724-4737 (2025) - [i63]Zerui Tao, Yuhta Takida, Naoki Murata, Qibin Zhao, Yuki Mitsufuji:
Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models. CoRR abs/2501.08727 (2025) - [i62]Guang Lin, Duc Thien Nguyen, Zerui Tao, Konstantinos Slavakis, Toshihisa Tanaka, Qibin Zhao:
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation. CoRR abs/2502.17972 (2025) - 2024
- [j70]Junhua Zeng, Yuning Qiu, Yumeng Ma, Andong Wang, Qibin Zhao:
A Novel Tensor Ring Sparsity Measurement for Image Completion. Entropy 26(2): 105 (2024) - [j69]Qi Jiang, Guoxu Zhou, Qibin Zhao:
Semi-supervised multi-view concept decomposition. Expert Syst. Appl. 241: 122572 (2024) - [j68]Mingyuan Bai, Derun Zhou, Qibin Zhao:
TendiffPure: a convolutional tensor-train denoising diffusion model for purification. Frontiers Inf. Technol. Electron. Eng. 25(1): 160-169 (2024) - [j67]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) - [j66]Zerui Tao, Toshihisa Tanaka, Qibin Zhao:
Nonparametric tensor ring decomposition with scalable amortized inference. Neural Networks 169: 431-441 (2024) - [j65]Dongping Zhang, Haonan Huang, Qibin Zhao, Guoxu Zhou:
Generalized latent multi-view clustering with tensorized bipartite graph. Neural Networks 175: 106282 (2024) - [j64]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) - [j63]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) - [j62]Xuanyu Jin, Ni Li, Wanzeng Kong, Qibin Zhao, Jiajia Tang, Li Zhu, Jianting Cao:
Disentangled Adversarial Generalization Network for Cross-Session Task-Independent Brainprint Recognition. IEEE Trans. Cogn. Dev. Syst. 16(4): 1248-1259 (2024) - [j61]Jiajia Tang, Yutao Yang, Qibin Zhao, Yu Ding, Jianhai Zhang, Yang Song, Wanzeng Kong:
Visual-Guided Dual-Spatial Interaction Network for Fine-Grained Brain Semantic Decoding. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j60]Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao:
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion. Trans. Mach. Learn. Res. 2024 (2024) - [j59]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) - [j58]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) - [c92]Yuning Qiu, Guoxu Zhou, Andong Wang, Zhenhao Huang, Qibin Zhao:
Towards Multi-Mode Outlier Robust Tensor Ring Decomposition. AAAI 2024: 14713-14721 - [c91]Zerui Tao, Toshihisa Tanaka, Qibin Zhao:
Efficient Nonparametric Tensor Decomposition for Binary and Count Data. AAAI 2024: 15319-15327 - [c90]Yu-Bang Zheng, Xi-Le Zhao, Junhua Zeng, Chao Li, Qibin Zhao, Heng-Chao Li, Ting-Zhu Huang:
SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective. CVPR 2024: 22413-22422 - [c89]Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao:
Hierarchical Attacks on Large-Scale Graph Neural Networks. ICASSP 2024: 7635-7639 - [c88]Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao:
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization. ICLR 2024 - [c87]Mingyuan Bai, Wei Huang, Tenghui Li, Andong Wang, Junbin Gao, Cesar F. Caiafa, Qibin Zhao:
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance. ICML 2024 - [c86]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 - [c85]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 - [c84]Wanqi Zhou, Shuanghao Bai, Shujian Yu, Qibin Zhao, Badong Chen:
Jacobian Regularizer-based Neural Granger Causality. ICML 2024 - [c83]Andong Wang, Yuning Qiu, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao:
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts. NeurIPS 2024 - [i61]Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka:
EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge. CoRR abs/2401.05908 (2024) - [i60]Zerui Tao, Toshihisa Tanaka, Qibin Zhao:
Efficient Nonparametric Tensor Decomposition for Binary and Count Data. CoRR abs/2401.07711 (2024) - [i59]Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao:
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization. CoRR abs/2401.16352 (2024) - [i58]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) - [i57]Guang Lin, Zerui Tao, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao:
Robust Diffusion Models for Adversarial Purification. CoRR abs/2403.16067 (2024) - [i56]Binghua Li, Jie Mao, Zhe Sun, Chao Li, Qibin Zhao, Toshihisa Tanaka:
MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification. CoRR abs/2404.08917 (2024) - [i55]Wanqi Zhou, Shuanghao Bai, Qibin Zhao, Badong Chen:
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective. CoRR abs/2404.19287 (2024) - [i54]Wanqi Zhou, Shuanghao Bai, Shujian Yu, Qibin Zhao, Badong Chen:
Jacobian Regularizer-based Neural Granger Causality. CoRR abs/2405.08779 (2024) - [i53]Guang Lin, Qibin Zhao:
Large Language Model Sentinel: Advancing Adversarial Robustness by LLM Agent. CoRR abs/2405.20770 (2024) - [i52]Zerui Tao, Toshihisa Tanaka, Qibin Zhao:
Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis. CoRR abs/2412.03321 (2024) - [i51]Tenghui Li, Guoxu Zhou, Xuyang Zhao, Qibin Zhao:
Scaling Capability in Token Space: An Analysis of Large Vision Language Model. CoRR abs/2412.18387 (2024) - 2023
- [j57]Jing Wang, Aixi Qu, Qing Wang, Qibin Zhao, Ju Liu, Qiang Wu:
TT-Net: Tensorized Transformer Network for 3D medical image segmentation. Comput. Medical Imaging Graph. 107: 102234 (2023) - [j56]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) - [j55]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) - [j54]Hailin Wang, Jiangjun Peng, Xiangyong Cao, Jianjun Wang, Qibin Zhao, Deyu Meng:
Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 5189-5203 (2023) - [j53]Jiajia Tang, Ming Hou, Xuanyu Jin, Jianhai Zhang, Qibin Zhao, Wanzeng Kong:
Tree-Based Mix-Order Polynomial Fusion Network for Multimodal Sentiment Analysis. Syst. 11(1): 44 (2023) - [j52]Jiajia Tang, Dongjun Liu, Xuanyu Jin, Yong Peng, Qibin Zhao, Yu Ding, Wanzeng Kong:
BAFN: Bi-Direction Attention Based Fusion Network for Multimodal Sentiment Analysis. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1966-1978 (2023) - [j51]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) - [c82]Jianfu Zhang, Yan Hong, Qibin Zhao:
Memorization Weights for Instance Reweighting in Adversarial Training. AAAI 2023: 11228-11236 - [c81]Chao Li, Junhua Zeng, Chunmei Li, Cesar F. Caiafa, Qibin Zhao:
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations. ICML 2023: 20384-20411 - [c80]Zerui Tao, Toshihisa Tanaka, Qibin Zhao:
Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis. ICONIP (1) 2023: 490-503 - [c79]Zerui Tao, Toshihisa Tanaka, Qibin Zhao:
Undirected Probabilistic Model for Tensor Decomposition. NeurIPS 2023 - [c78]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 - [i50]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) - [i49]Chao Li, Junhua Zeng, Chunmei Li, Cesar F. Caiafa, Qibin Zhao:
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations. CoRR abs/2304.12875 (2023) - [i48]Yu-Bang Zheng, Xi-Le Zhao, Junhua Zeng, Chao Li, Qibin Zhao, Heng-Chao Li, Ting-Zhu Huang:
SVDinsTN: An Integrated Method for Tensor Network Representation with Efficient Structure Search. CoRR abs/2305.14912 (2023) - [i47]Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao:
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion. CoRR abs/2305.15639 (2023) - [i46]Qi Jiang, Guoxu Zhou, Qibin Zhao:
Semi-supervised multi-view concept decomposition. CoRR abs/2307.00924 (2023) - [i45]Zhiqi Shao, Dai Shi, Andi Han, Yi Guo, Qibin Zhao, Junbin Gao:
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond. CoRR abs/2309.02769 (2023) - 2022
- [j50]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) - [j49]Kahoko Takahashi, Zhe Sun, Jordi Solé-Casals, Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Hui-Hai Zhao, Shangkun Deng, Ruggero Micheletto:
Data augmentation for Convolutional LSTM based brain computer interface system. Appl. Soft Comput. 122: 108811 (2022) - [j48]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) - [j47]Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Qibin Zhao:
Tensor Completion via Fully-Connected Tensor Network Decomposition with Regularized Factors. J. Sci. Comput. 92(1): 8 (2022) - [j46]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) - [j45]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) - [j44]Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang:
Non-Local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2089-2107 (2022) - [j43]Wei He, Yong Chen, Naoto Yokoya, Chao Li, Qibin Zhao:
Hyperspectral super-resolution via coupled tensor ring factorization. Pattern Recognit. 122: 108280 (2022) - [j42]Hiromu Takayama, Qibin Zhao, Hidekata Hontani, Tatsuya Yokota:
Bayesian Tensor Completion and Decomposition with Automatic CP Rank Determination Using MGP Shrinkage Prior. SN Comput. Sci. 3(3): 225 (2022) - [j41]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) - [j40]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) - [j39]Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki:
Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1022-1036 (2022) - [c77]Haonan Huang, Yihao Luo, Guoxu Zhou, Qibin Zhao:
Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization. ICASSP 2022: 3338-3342 - [c76]Kriton Konstantinidis, Yao Lei Xu, Qibin Zhao, Danilo P. Mandic:
Variational Bayesian Tensor Networks with Structured Posteriors. ICASSP 2022: 3638-3642 - [c75]Chao Li, Junhua Zeng, Zerui Tao, Qibin Zhao:
Permutation Search of Tensor Network Structures via Local Sampling. ICML 2022: 13106-13124 - [c74]Jiajia Tang, Kang Li, Ming Hou, Xuanyu Jin, Wanzeng Kong, Yu Ding, Qibin Zhao:
MMT: Multi-way Multi-modal Transformer for Multimodal Learning. IJCAI 2022: 3458-3465 - [c73]Mingyuan Bai, Jie Chen, Qibin Zhao, Chao Li, Junping Zhang, Junbin Gao:
Tensor Neural Controlled Differential Equations. IJCNN 2022: 1-9 - [c72]Reinmar J. Kobler, Jun-ichiro Hirayama, Qibin Zhao, Motoaki Kawanabe:
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG. NeurIPS 2022 - [i44]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) - [i43]Yuning Qiu, Guoxu Zhou, Qibin Zhao, Shengli Xie:
Noisy Tensor Completion via Low-rank Tensor Ring. CoRR abs/2203.08857 (2022) - [i42]Reinmar J. Kobler, Jun-ichiro Hirayama, Qibin Zhao, Motoaki Kawanabe:
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG. CoRR abs/2206.01323 (2022) - [i41]Chao Li, Junhua Zeng, Zerui Tao, Qibin Zhao:
Permutation Search of Tensor Network Structures via Local Sampling. CoRR abs/2206.06597 (2022) - [i40]Peilin Yang, Weijun Sun, Qibin Zhao, Guoxu Zhou:
Latent Matrices for Tensor Network Decomposition and to Tensor Completion. CoRR abs/2210.03392 (2022) - [i39]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
- [j38]Binghua Li, Zhiwen Zhang, Feng Duan, Zhenglu Yang, Qibin Zhao, Zhe Sun, Jordi Solé-Casals:
Component-mixing strategy: A decomposition-based data augmentation algorithm for motor imagery signals. Neurocomputing 465: 325-335 (2021) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [c71]Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Qibin Zhao, Tai-Xiang Jiang:
Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion. AAAI 2021: 11071-11078 - [c70]Jiajia Tang, Kang Li, Xuanyu Jin, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong:
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network. ACL/IJCNLP (1) 2021: 5301-5311 - [c69]Zerui Tao, Xuyang Zhao, Toshihisa Tanaka, Qibin Zhao:
Bayesian Latent Factor Model for Higher-order Data. ACML 2021: 1285-1300 - [c68]Hejia Qiu, Chao Li, Ying Weng, Zhun Sun, Xingyu He, Qibin Zhao:
On the Memory Mechanism of Tensor-Power Recurrent Models. AISTATS 2021: 3682-3690 - [c67]Xuyang Zhao, Jordi Solé-Casals, Qibin Zhao, Jianting Cao, Toshihisa Tanaka:
Multi-feature Fusion for Epileptic Focus Localization Based on Tensor Representation. APSIPA ASC 2021: 1323-1327 - [c66]Cesar F. Caiafa, Ziyao Wang, Jordi Solé-Casals, Qibin Zhao:
Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding. CVPR Workshops 2021: 2621-2630 - [c65]Jianfu Zhang, Zerui Tao, Liqing Zhang, Qibin Zhao:
Tensor Decomposition Via Core Tensor Networks. ICASSP 2021: 2130-2134 - [c64]Zhun Sun, Chao Li, Qibin Zhao:
Hide Chopin in the Music: Efficient Information Steganography Via Random Shuffling. ICASSP 2021: 2370-2374 - [c63]Mingyuan Bai, Qibin Zhao, Junbin Gao:
Tensorial Time Series Prediction via Tensor Neural Ordinary Differential Equations. IJCNN 2021: 1-8 - [c62]Zihao Huang, Chao Li, Feng Duan, Qibin Zhao:
Multi-distorted Image Restoration with Tensor 1 × 1 Convolutional Layer. IJCNN 2021: 1-8 - [i38]Hejia Qiu, Chao Li, Ying Weng, Zhun Sun, Xingyu He, Qibin Zhao:
On the Memory Mechanism of Tensor-Power Recurrent Models. CoRR abs/2103.01521 (2021) - [i37]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) - [i36]Tenghui Li, Guoxu Zhou, Yuning Qiu, Qibin Zhao:
Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution. CoRR abs/2110.09902 (2021) - [i35]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
- [j33]Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao:
Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion. Mach. Learn. 109(3): 603-622 (2020) - [c61]Chao Li, Mohammad Emtiyaz Khan, Zhun Sun, Gang Niu, Bo Han, Shengli Xie, Qibin Zhao:
Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling. AAAI 2020: 4602-4609 - [c60]Andong Wang, Chao Li, Zhong Jin, Qibin Zhao:
Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms. AAAI 2020: 6102-6109 - [c59]Binghua Li, Chao Li, Feng Duan, Ning Zheng, Qibin Zhao:
TPFN: Applying Outer Product Along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data. ECCV (24) 2020: 431-447 - [c58]Xuyang Zhao, Jordi Solé-Casals, Binghua Li, Zihao Huang, Andong Wang, Jianting Cao, Toshihisa Tanaka, Qibin Zhao:
Classification of Epileptic IEEG Signals by CNN and Data Augmentation. ICASSP 2020: 926-930 - [i34]Wei He, Yong Chen, Naoto Yokoya, Chao Li, Qibin Zhao:
Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization. CoRR abs/2001.01547 (2020) - [i33]Zihao Huang, Chao Li, Feng Duan, Qibin Zhao:
H-OWAN: Multi-distorted Image Restoration with Tensor 1x1 Convolution. CoRR abs/2001.10853 (2020) - [i32]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) - [i31]Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang:
Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration. CoRR abs/2010.12921 (2020) - [i30]Cesar F. Caiafa, Ziyao Wang, Jordi Solé-Casals, Qibin Zhao:
Learning from Incomplete Data by Simultaneous Training of Neural Networks and Sparse Coding. CoRR abs/2011.14047 (2020)
2010 – 2019
- 2019
- [j32]Michio Iwata, Longhao Yuan, Qibin Zhao, Yasuo Tabei, Francois Berenger, Ryusuke Sawada, Sayaka Akiyoshi, Momoko Hamano, Yoshihiro Yamanishi:
Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm. Bioinform. 35(14): i191-i199 (2019) - [j31]Wanzeng Kong, Xianghao Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki:
Task-free brainprint recognition based on low-rank and sparse decomposition model. Int. J. Data Min. Bioinform. 22(3): 280-300 (2019) - [j30]Yipeng Liu, Yuning Yang, Qibin Zhao, Shuchin Aeron:
Editorial to The Special Issue on Tensor Image Processing. Signal Process. Image Commun. 73: 1-2 (2019) - [j29]Longhao Yuan, Qibin Zhao, Lihua Gui, Jianting Cao:
High-order tensor completion via gradient-based optimization under tensor train format. Signal Process. Image Commun. 73: 53-61 (2019) - [j28]Wei He, Naoto Yokoya, Longhao Yuan, Qibin Zhao:
Remote Sensing Image Reconstruction Using Tensor Ring Completion and Total Variation. IEEE Trans. Geosci. Remote. Sens. 57(11): 8998-9009 (2019) - [j27]Qiquan Shi, Yiu-Ming Cheung, Qibin Zhao, Haiping Lu:
Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1803-1817 (2019) - [c57]Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. AAAI 2019: 9151-9158 - [c56]Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency:
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization. ACL (1) 2019: 1569-1576 - [c55]Boning Li, Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao:
A One-Dimensional Convolutional Neural Network Model for Automated Localization of Epileptic Foci. APSIPA 2019: 741-744 - [c54]Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao:
Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. CVPR 2019: 6868-6877 - [c53]Chao Li, Wei He, Longhao Yuan, Zhun Sun, Qibin Zhao:
Guaranteed Matrix Completion Under Multiple Linear Transformations. CVPR 2019: 11136-11145 - [c52]Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao:
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction. ICASSP 2019: 2127-2131 - [c51]Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao:
Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. ICASSP 2019: 3022-3026 - [c50]Jinshi Yu, Chao Li, Qibin Zhao, Guoxu Zhao:
Tensor-ring Nuclear Norm Minimization and Application for Visual : Data Completion. ICASSP 2019: 3142-3146 - [c49]Qibin Zhao, Masashi Sugiyama, Longhao Yuan, Andrzej Cichocki:
Learning Efficient Tensor Representations with Ring-structured Networks. ICASSP 2019: 8608-8612 - [c48]Linfeng Sui, Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao:
Localization of Epileptic Foci by Using Convolutional Neural Network Based on iEEG. AIAI 2019: 331-339 - [c47]Qipeng Chen, Longhao Yuan, Yao Miao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao:
Quasi-Brain-Death EEG Diagnosis Based on Tensor Train Decomposition. ISNN (2) 2019: 501-511 - [c46]Ming Hou, Jiajia Tang, Jianhai Zhang, Wanzeng Kong, Qibin Zhao:
Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling. NeurIPS 2019: 12113-12122 - [i29]Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao:
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction. CoRR abs/1901.01652 (2019) - [i28]Giuseppe Giovanni Calvi, Ahmad Moniri, Mahmoud Mahfouz, Zeyang Yu, Qibin Zhao, Danilo P. Mandic:
Tucker Tensor Layer in Fully Connected Neural Networks. CoRR abs/1903.06133 (2019) - [i27]Jinshi Yu, Chao Li, Qibin Zhao, Guoxu Zhou:
Tensor-Ring Nuclear Norm Minimization and Application for Visual Data Completion. CoRR abs/1903.08888 (2019) - [i26]Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency:
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization. CoRR abs/1907.01011 (2019) - [i25]Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki:
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior". CoRR abs/1908.02995 (2019) - 2018
- [j26]Jordi Solé-Casals, Cesar Federico Caiafa, Qibin Zhao, Andrzej Cichocki:
Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach. Cogn. Comput. 10(6): 1062-1074 (2018) - [j25]Wanzeng Kong, Luyun Wang, Jianhai Zhang, Qibin Zhao, Junfeng Sun:
The Dynamic EEG Microstates in Mental Rotation. Sensors 18(9): 2920 (2018) - [c45]Xuyang Zhao, Toshihisa Tanaka, Wanzeng Kong, Qibin Zhao, Jianting Cao, Hidenori Sugano, Noboru Yoshida:
Epileptic Focus Localization Based on iEEG by Using Positive Unlabeled (PU) Learning. APSIPA 2018: 493-497 - [c44]Longhao Yuan, Jianting Cao, Xuyang Zhao, Qiang Wu, Qibin Zhao:
Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition. APSIPA 2018: 1071-1076 - [c43]Jinshi Yu, Guoxu Zhou, Qibin Zhao, Kan Xie:
An Effective Tensor Completion Method Based on Multi-linear Tensor Ring Decomposition. APSIPA 2018: 1344-1349 - [c42]Xianghao Kong, Wanzeng Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki:
Task-Independent EEG Identification via Low-Rank Matrix Decomposition. BIBM 2018: 412-419 - [c41]Longhao Yuan, Qibin Zhao, Jianting Cao:
High-Order Tensor Completion for Data Recovery via Sparse Tensor-Train Optimization. ICASSP 2018: 1258-1262 - [c40]Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Wanzeng Kong, Hidenori Sugano, Noboru Yoshida:
Detection of Epileptic Foci Based on Interictal iEEG by Using Convolutional Neural Network. DSP 2018: 1-5 - [c39]Qibin Zhao, Masashi Sugiyama, Longhao Yuan, Andrzej Cichocki:
Learning Efficient Tensor Representations with Ring Structure Networks. ICLR (Workshop) 2018 - [c38]Ming Hou, Brahim Chaib-draa, Chao Li, Qibin Zhao:
Generative Adversarial Positive-Unlabelled Learning. IJCAI 2018: 2255-2261 - [i24]Longhao Yuan, Qibin Zhao, Jianting Cao:
High-dimension Tensor Completion via Gradient-based Optimization Under Tensor-train Format. CoRR abs/1804.01983 (2018) - [i23]Chao Li, Mohammad Emtiyaz Khan, Shengli Xie, Qibin Zhao:
Low-Rank Tensor Decomposition via Multiple Reshaping and Reordering Operations. CoRR abs/1805.08465 (2018) - [i22]Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion. CoRR abs/1805.08468 (2018) - [i21]Longhao Yuan, Jianting Cao, Qiang Wu, Qibin Zhao:
Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition. CoRR abs/1807.01589 (2018) - [i20]Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. CoRR abs/1809.02288 (2018) - [i19]Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao:
Low-Rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. CoRR abs/1810.13098 (2018) - [i18]Tomasz M. Rutkowski, Qibin Zhao, Masato S. Abe, Mihoko Otake:
AI Neurotechnology for Aging Societies - Task-load and Dementia EEG Digital Biomarker Development Using Information Geometry Machine Learning Methods. CoRR abs/1811.12642 (2018) - [i17]Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao:
Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. CoRR abs/1812.04243 (2018) - 2017
- [j24]Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives. Found. Trends Mach. Learn. 9(6): 431-673 (2017) - [c37]Lihua Gui, Qibin Zhao, Jianting Cao:
Brain image completion by Bayesian tensor decomposition. DSP 2017: 1-4 - [c36]Longhao Yuan, Qibin Zhao, Jianting Cao:
Completion of High Order Tensor Data with Missing Entries via Tensor-Train Decomposition. ICONIP (1) 2017: 222-229 - [c35]Gaochao Cui, Li Zhu, Qibin Zhao, Jianting Cao, Andrzej Cichocki:
A Graph Theory Analysis on Distinguishing EEG-Based Brain Death and Coma. ICONIP (4) 2017: 589-595 - [c34]Yuhang Xin, Qiang Wu, Qibin Zhao, Qi Wu:
Semi-supervised Regularized Discriminant Analysis for EEG-Based BCI System. IDEAL 2017: 516-523 - [c33]Qiquan Shi, Yiu-ming Cheung, Qibin Zhao:
Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition. ECML/PKDD (1) 2017: 564-581 - [i16]Qibin Zhao, Masashi Sugiyama, Andrzej Cichocki:
Learning Efficient Tensor Representations with Ring Structure Networks. CoRR abs/1705.08286 (2017) - [i15]Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives. CoRR abs/1708.09165 (2017) - [i14]Longhao Yuan, Qibin Zhao, Jianting Cao:
Completion of High Order Tensor Data with Missing Entries via Tensor-train Decomposition. CoRR abs/1709.02641 (2017) - [i13]Xingwei Cao, Qibin Zhao:
Tensorizing Generative Adversarial Nets. CoRR abs/1710.10772 (2017) - [i12]Longhao Yuan, Qibin Zhao, Jianting Cao:
High-order Tensor Completion for Data Recovery via Sparse Tensor-train Optimization. CoRR abs/1711.02271 (2017) - [i11]Ming Hou, Qibin Zhao, Chao Li, Brahim Chaib-draa:
A generative adversarial framework for positive-unlabeled classification. CoRR abs/1711.08054 (2017) - 2016
- [j23]Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. Found. Trends Mach. Learn. 9(4-5): 249-429 (2016) - [j22]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) - [j21]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) - [j20]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) - [j19]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) - [j18]Tatsuya Yokota, Qibin Zhao, Andrzej Cichocki:
Smooth PARAFAC Decomposition for Tensor Completion. IEEE Trans. Signal Process. 64(20): 5423-5436 (2016) - [c32]Ming Hou, Qibin Zhao, Brahim Chaib-draa, Andrzej Cichocki:
Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression. AAAI 2016: 1673-1679 - [c31]Ye Liu, Qibin Zhao, Min Chen, Liqing Zhang:
Higher-Order Correlation Coefficient Analysis for EEG-Based Brain-Computer Interface. ECAI 2016: 1080-1088 - [c30]Gaochao Cui, Lihua Gui, Qibin Zhao, Andrzej Cichocki, Jianting Cao:
Bayesian CP factorization of incomplete tensor for EEG signal application. FUZZ-IEEE 2016: 2170-2173 - [c29]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 - [c28]Lihua Gui, Gaochao Cui, Qibin Zhao, Dongsheng Wang, Andrzej Cichocki, Jianting Cao:
Video denoising using low rank tensor decomposition. ICMV 2016: 103410V - [c27]Gaochao Cui, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Andrzej Cichocki:
Dynamic MEMD Associated with Approximate Entropy in Patients' Consciousness Evaluation. ICONIP (1) 2016: 138-146 - [c26]Deqing Wang, Fengyu Cong, Qibin Zhao, Petri Toiviainen, Asoke K. Nandi, Minna Huotilainen, Tapani Ristaniemi, Andrzej Cichocki:
Exploiting ongoing EEG with multilinear partial least squares during free-listening to music. MLSP 2016: 1-6 - [i10]Qibin Zhao, Guoxu Zhou, Shengli Xie, Liqing Zhang, Andrzej Cichocki:
Tensor Ring Decomposition. CoRR abs/1606.05535 (2016) - [i9]Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic:
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1. CoRR abs/1609.00893 (2016) - 2015
- [j17]Ye Liu, Qibin Zhao, Liqing Zhang:
Uncorrelated Multiway Discriminant Analysis for Motor Imagery EEG Classification. Int. J. Neural Syst. 25(4): 1550013:1-1550013:14 (2015) - [j16]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1751-1763 (2015) - [j15]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) - [j14]Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie:
Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. IEEE Trans. Image Process. 24(12): 4990-5003 (2015) - [c25]Chao Li, Qibin Zhao, Junhua Li, Andrzej Cichocki, Lili Guo:
Multi-tensor Completion with Common Structures. AAAI 2015: 2743-2749 - [c24]Wei Chen, Chia-Ping Shen, Ming-Jang Chiu, Qibin Zhao, Andrzej Cichocki, Jeng-Wei Lin, Feipei Lai:
Epileptic EEG visualization and sonification based on linear discriminate analysis. EMBC 2015: 4466-4469 - [i8]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion. CoRR abs/1505.02343 (2015) - [i7]Tatsuya Yokota, Qibin Zhao, Chao Li, Andrzej Cichocki:
Smooth PARAFAC Decomposition for Tensor Completion. CoRR abs/1505.06611 (2015) - [i6]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
- [j13]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) - [j12]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) - [j11]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) - [j10]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Multilinear and nonlinear generalizations of partial least squares: an overview of recent advances. WIREs Data Mining Knowl. Discov. 4(2): 104-115 (2014) - [c23]Ye Liu, Hao Zhang, Qibin Zhao, Liqing Zhang:
Common Spatial-Spectral Boosting Pattern for Brain-Computer Interface. ECAI 2014: 537-542 - [c22]Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki:
Tensor-variate Gaussian processes regression and its application to video surveillance. ICASSP 2014: 1265-1269 - [c21]Guoxu Zhou, Qibin Zhao, Yu Zhang, Andrzej Cichocki:
Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient. ISNN 2014: 459-468 - [c20]Gaochao Cui, Qibin Zhao, Jianting Cao, Andrzej Cichocki:
Hybrid-BCI: Classification of auditory and visual related potentials. SCIS&ISIS 2014: 297-300 - [i5]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination. CoRR abs/1401.6497 (2014) - [i4]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) - [i3]Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie:
Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. CoRR abs/1404.4412 (2014) - [i2]Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari:
Robust Bayesian Tensor Factorization for Incomplete Multiway Data. CoRR abs/1410.2386 (2014) - 2013
- [j9]Fengyu Cong, Anh Huy Phan, Piia Astikainen, Qibin Zhao, Qiang Wu, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki:
Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG. Int. J. Neural Syst. 23(2) (2013) - [j8]Junhua Li, Jianyi Liang, Qibin Zhao, Jie Li, Kan Hong, Liqing Zhang:
Design of assistive Wheelchair System directly Steered by Human Thoughts. Int. J. Neural Syst. 23(3) (2013) - [j7]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Liqing Zhang, Andrzej Cichocki:
Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1660-1673 (2013) - [j6]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) - [c19]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data. AAAI 2013: 1041-1047 - [c18]Gaochao Cui, Yunchao Yin, Qibin Zhao, Andrzej Cichocki, Jianting Cao:
Patients' consciousness analysis using dynamic approximate entropy and MEMD method. APSIPA 2013: 1-5 - [c17]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
- [j5]Fengyu Cong, Anh Huy Phan, Qibin Zhao, Tiina Huttunen-Scott, Jukka Kaartinen, Tapani Ristaniemi, Heikki Lyytinen, Andrzej Cichocki:
Benefits of Multi-Domain Feature of mismatch Negativity Extracted by Non-Negative Tensor Factorization from EEG Collected by Low-Density Array. Int. J. Neural Syst. 22(6) (2012) - [j4]Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi:
Tongue-Rudder: A Glossokinetic-Potential-Based Tongue-Machine Interface. IEEE Trans. Biomed. Eng. 59(1): 290-299 (2012) - [c16]Qibin Zhao, Liqing Zhang, Jianting Cao, Andrzej Cichocki:
Higher-order PLS for classification of ERPs with application to BCIs. APSIPA 2012: 1-5 - [c15]Guoxu Zhou, Zhaoshui He, Yu Zhang, Qibin Zhao, Andrzej Cichocki:
Canonical Polyadic Decomposition: From 3-way to N-Way. CIS 2012: 391-395 - [c14]Fengyu Cong, Anh Huy Phan, Qibin Zhao, Asoke K. Nandi, Vinoo Alluri, Petri Toiviainen, Hanna Poikonen, Minna Huotilainen, Andrzej Cichocki, Tapani Ristaniemi:
Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization. EUSIPCO 2012: 494-498 - [c13]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 - [c12]Fengyu Cong, Anh Huy Phan, Piia Astikainen, Qibin Zhao, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki:
Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data. LVA/ICA 2012: 502-510 - [c11]Fengyu Cong, Anh Huy Phan, Qibin Zhao, Qiang Wu, Tapani Ristaniemi, Andrzej Cichocki:
Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations. ICONIP (3) 2012: 166-173 - [c10]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 - [i1]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Liqing Zhang, Andrzej Cichocki:
Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method. CoRR abs/1207.1230 (2012) - 2011
- [c9]Qibin Zhao, Akinari Onishi, Yu Zhang, Jianting Cao, Liqing Zhang, Andrzej Cichocki:
A Novel Oddball Paradigm for Affective BCIs Using Emotional Faces as Stimuli. ICONIP (1) 2011: 279-286 - [c8]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 - [c7]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-Bonhage, Andrzej Cichocki:
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach. NIPS 2011: 1269-1277 - 2010
- [j3]Yunjun Nam, Hyohyeong Kang, Qibin Zhao, Andrzej Cichocki, Seungjin Choi:
Mind Flipper: An EEG-Based Brain Computer Interface for Page-Turning During Presentation. Aust. J. Intell. Inf. Process. Syst. 11(3) (2010) - [c6]Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi:
A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials. ICONIP (2) 2010: 34-41
2000 – 2009
- 2009
- [c5]Qibin Zhao, Liqing Zhang, Andrzej Cichocki:
Multilinear generalization of Common Spatial Pattern. ICASSP 2009: 525-528 - [c4]Qibin Zhao, Cesar F. Caiafa, Andrzej Cichocki, Liqing Zhang, Anh Huy Phan:
Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains. ICONIP (1) 2009: 221-228 - 2008
- [j2]Andrzej Cichocki, Yoshikazu Washizawa, Tomasz M. Rutkowski, Hovagim Bakardjian, Anh Huy Phan, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, Yuanqing Li:
Noninvasive BCIs: Multiway Signal-Processing Array Decompositions. Computer 41(10): 34-42 (2008) - [c3]Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Jie Li:
Incremental Common Spatial Pattern algorithm for BCI. IJCNN 2008: 2656-2659 - [c2]Qibin Zhao, Liqing Zhang, Jie Li:
Multi-Task BCI for Online Game Control. SJTU-TUB Joint Workshop 2008: 29-37 - 2007
- [j1]Qibin Zhao, Liqing Zhang:
Temporal and Spatial Features of Single-Trial EEG for Brain-Computer Interface. Comput. Intell. Neurosci. 2007 (2007) - 2006
- [c1]Zhi-Lin Zhang, Liqing Zhang, Xiu-Ling Wu, Jie Li, Qibin Zhao:
Two-Stage Temporally Correlated Source Extraction Algorithm with Its Application in Extraction of Event-Related Potentials. ICONIP (2) 2006: 523-532
Coauthor Index
Cesar F. Caiafa
aka: Cesar Federico Caiafa
aka: Cesar Federico Caiafa
[j49] [j39] [c70] [j31] [c49] [i25] [j26] [c42] [c39] [j24] [c35] [i16] [i15] [j23] [j22] [j21] [j20] [j19] [j18] [c32] [c30] [c29] [c28] [c27] [c26] [i10] [i9] [j16] [j15] [j14] [c25] [c24] [i8] [i7] [i6] [j13] [j12] [j11] [j10] [c22] [c21] [c20] [i5] [i4] [i3] [i2] [j9] [j7] [j6] [c19] [c18] [c17] [j5] [j4] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [i1] [c9] [c8] [c7] [j3] [c6] [c5] [c4] [j2] [c3]
[j78] [j77] [j74] [j71] [j69] [j67] [j65] [j64] [j63] [j59] [j58] [c92] [c86] [c85] [c83] [i58] [i51] [j56] [j55] [j51] [c78] [i50] [i46] [j50] [j48] [j46] [j45] [j41] [j40] [c77] [i44] [i43] [i40] [i39] [j37] [j36] [j35] [j34] [i37] [i36] [i35] [i32] [i27] [c43] [j22] [j21] [j20] [j19] [c29] [i10] [j15] [j14] [i6] [j13] [j12] [j11] [c22] [c21] [i4] [i3] [i2] [j6] [c17] [c15] [c13] [c10] [c8]
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last updated on 2025-05-02 23:56 CEST by the dblp team
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