default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDQibin Zhao
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j71]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)- 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) - [c91]Yuning Qiu, Guoxu Zhou, Andong Wang, Zhenhao Huang, Qibin Zhao:
Towards Multi-Mode Outlier Robust Tensor Ring Decomposition. AAAI 2024: 14713-14721 - [c90]Zerui Tao, Toshihisa Tanaka, Qibin Zhao:
Efficient Nonparametric Tensor Decomposition for Binary and Count Data. AAAI 2024: 15319-15327 - [c89]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 - [c88]Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao:
Hierarchical Attacks on Large-Scale Graph Neural Networks. ICASSP 2024: 7635-7639 - [c87]Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao:
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization. ICLR 2024 - [c86]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 - [c85]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 - [c84]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 - [c83]Wanqi Zhou, Shuanghao Bai, Shujian Yu, Qibin Zhao, Badong Chen:
Jacobian Regularizer-based Neural Granger Causality. ICML 2024 - [i59]Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka:
EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge. CoRR abs/2401.05908 (2024) - [i58]Zerui Tao, Toshihisa Tanaka, Qibin Zhao:
Efficient Nonparametric Tensor Decomposition for Binary and Count Data. CoRR abs/2401.07711 (2024) - [i57]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) - [i56]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) - [i55]Guang Lin, Zerui Tao, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao:
Robust Diffusion Models for Adversarial Purification. CoRR abs/2403.16067 (2024) - [i54]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) - [i53]Wanqi Zhou, Shuanghao Bai, Qibin Zhao, Badong Chen:
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective. CoRR abs/2404.19287 (2024) - [i52]Wanqi Zhou, Shuanghao Bai, Shujian Yu, Qibin Zhao, Badong Chen:
Jacobian Regularizer-based Neural Granger Causality. CoRR abs/2405.08779 (2024) - [i51]Guang Lin, Qibin Zhao:
Large Language Model Sentinel: Advancing Adversarial Robustness by LLM Agent. CoRR abs/2405.20770 (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]
[j69] [j67] [j65] [j64] [j63] [j59] [j58] [c91] [c85] [c84] [i56] [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]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 21:29 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
