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2020 – today
- 2023
[j56]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)- [j55]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) - [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) - [c80]Jianfu Zhang, Yan Hong, Qibin Zhao:
Memorization Weights for Instance Reweighting in Adversarial Training. AAAI 2023: 11228-11236 - [c79]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 - [c78]Zerui Tao, Toshihisa Tanaka, Qibin Zhao:
Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis. ICONIP (1) 2023: 490-503 - [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,