Qibin Zhao - RankMe

277 papers A* 31A 3B 6C 5Misc 16Journal 178Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Adversarial Robustness of Quantum-Enhanced Graph Attention Networks. ICAART (1) Yaswitha Gujju, Romain Harang, Tetsuo Shibuya, Qibin Zhao
2026	J	`jnl`	Brain-Machine Enhanced Intelligence for Semi-Supervised Facial Emotion Recognition. IEEE Trans. Affect. Comput. Dongjun Liu, Weichen Dai, Hangjie Yi, Honggang Liu, Jianting Cao, Qibin Zhao, Fabio Babiloni, Wanzeng Kong
2026	J	`jnl`	Classification of epileptic seizure onset zone from iEEG by reweighting augmented samples. Biomed. Signal Process. Control. Xuyang Zhao, Qibin Zhao, Andong Wang, Hidenori Sugano, Toshihisa Tanaka
2026	J	`jnl`	Efficient and compact tensor wheel decomposition for tensor completion. Pattern Recognit. Peilin Yang, Yuning Qiu, Zhenhao Huang, Guoxu Zhou, Qibin Zhao
2026	J	`jnl`	HEEGNet: Hyperbolic Embeddings for EEG. CoRR Shanglin Li, Shiwen Chu, Okan Koç, Yi Ding, Qibin Zhao, Motoaki Kawanabe, Ziheng Chen
2026	J	`jnl`	Hyperspectral and Multispectral Image Fusion via Neural Tensor Decomposition With Factor Alignment. IEEE Access Huidong Jiang, Kazuki Naganuma, Zerui Tao, Jin-Liang Xiao, Qibin Zhao, Shunsuke Ono
2026	J	`jnl`	Multi-view subspace tensorization with attentive clustering embedding. Neural Networks Yanghang Zheng, Haonan Huang, Yihao Luo, Yuning Qiu, Andong Wang, Guoxu Zhou, Qibin Zhao
2026	J	`jnl`	Nonconvex Latent Optimally Partitioned Block-Sparse Recovery via Log-Sum and Minimax Concave Penalties. CoRR Takanobu Furuhashi, Hiroki Kuroda, Masahiro Yukawa, Qibin Zhao, Hidekata Hontani, Tatsuya Yokota
2026	J	`jnl`	RaLo: Rank-aware low-rank adaptation for pre-trained foundation models. Neural Networks Yunsong Deng, Guoxu Zhou, Qibin Zhao
2026	J	`jnl`	Structured Unitary Tensor Network Representations for Circuit-Efficient Quantum Data Encoding. CoRR Guang Lin, Toshihisa Tanaka, Qibin Zhao
2026	J	`jnl`	Tensorized Non-Negative Multi-Attribute Subspace Clustering. IEEE Trans. Emerg. Top. Comput. Intell. Zixuan Lin, Guoxu Zhou, Haonan Huang, Zhenhao Huang, Yuning Qiu, Qibin Zhao, Shengli Xie
2026	J	`jnl`	Unsupervised coefficient learning framework for variational pansharpening. Inf. Fusion Jin-Liang Xiao, Ting-Zhu Huang, Liang-Jian Deng, Huidong Jiang, Qibin Zhao, Gemine Vivone
2025	J	`jnl`	A Robust Aggregation of Federated Large Language Models for Multimodal Knowledge Discovery in Computational Social Systems. IEEE Trans. Comput. Soc. Syst. Jinhua Chen, Chinmay Chakraborty, Ashok Polavarapu, Yuning Qiu, Qibin Zhao, Osama Alfarraj, Keping Yu
2025	J	`jnl`	Adversarial guided diffusion models for adversarial purification. Neural Networks Guang Lin, Zerui Tao, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao
2025	J	`jnl`	An information-theoretic approach for heterogeneous differentiable causal discovery. Neural Networks Wanqi Zhou, Shuanghao Bai, Yuqing Xie, Yicong He, Qibin Zhao, Badong Chen
2025	J	`jnl`	Any-Step Density Ratio Estimation via Interval-Annealed Secant Alignment. CoRR Wei Chen, Shigui Li, Jiacheng Li, Jian Xu, Zhiqi Lin, Junmei Yang, Delu Zeng, John Paisley, Qibin Zhao
2025	J	`jnl`	Balanced Unfolding Induced Tensor Nuclear Norms for High-Order Tensor Completion. IEEE Trans. Neural Networks Learn. Syst. Yuning Qiu, Guoxu Zhou, Andong Wang, Qibin Zhao, Shengli Xie
2025	J	`jnl`	Calibrating Uncertainty for Zero-Shot Adversarial CLIP. CoRR Wenjing Lu, Zerui Tao, Dongping Zhang, Yuning Qiu, Yang Yang, Qibin Zhao
2025	J	`jnl`	Consist-Retinex: One-Step Noise-Emphasized Consistency Training Accelerates High-Quality Retinex Enhancement. CoRR Jian Xu, Wei Chen, Shigui Li, Delu Zeng, John Paisley, Qibin Zhao
2025	J	`jnl`	Consistency and Diversity Induced Tensorized Multi-View Subspace Clustering. IEEE Trans. Emerg. Top. Comput. Intell. Chunming Xiao, Yonghui Huang, Haonan Huang, Qibin Zhao, Guoxu Zhou
2025	J	`jnl`	Deep Semantic Prototype Alignment for Incomplete Multi-View Clustering. IEEE Signal Process. Lett. Zixuan Lin, Guoxu Zhou, Zhenhao Huang, Haonan Huang, Qibin Zhao, Shengli Xie
2025	J	`jnl`	Defending adversarial attacks in Graph Neural Networks via tensor enhancement. Pattern Recognit. Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao
2025	J	`jnl`	DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding. CoRR Guanghao Li, Zhihui Fu, Min Fang, Qibin Zhao, Ming Tang, Chun Yuan, Jun Wang
2025	J	`jnl`	Diffusion Bridge Variational Inference for Deep Gaussian Processes. CoRR Jian Xu, Qibin Zhao, John Paisley, Delu Zeng
2025	B	`conf`	Distance-Aware Secure Federated Learning against Model Theft and Heterogeneous Data for Communication and Information Systems. GLOBECOM Jinhua Chen, Yuning Qiu, Shilong Zhang, Tong Liu, Qibin Zhao, Chinmay Chakraborty, Keping Yu
2025	J	`jnl`	Domain-Aware Tensor Network Structure Search. CoRR Giorgos Iacovides, Wuyang Zhou, Chao Li, Qibin Zhao, Danilo P. Mandic
2025	J	`jnl`	Efficient Low Rank Attention for Long-Context Inference in Large Language Models. CoRR Tenghui Li, Guoxu Zhou, Xuyang Zhao, Yuning Qiu, Qibin Zhao
2025	J	`jnl`	Fine-grained Semantic Disentanglement Network for Multimodal Sarcasm Analysis. ACM Trans. Multim. Comput. Commun. Appl. Jiajia Tang, Binbin Ni, Feiwei Zhou, Dongjun Liu, Yu Ding, Yong Peng, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong
2025	J	`jnl`	Fractional Tensor Recurrent Unit (fTRU): A Stable Forecasting Model With Long Memory. IEEE Trans. Neural Networks Learn. Syst. Hejia Qiu, Chao Li, Ying Weng, Zhun Sun, Qibin Zhao
2025	J	`jnl`	Gradient aware adaptive quantization: Locally uniform quantization with learnable clipping thresholds for globally non-uniform weights. Neural Networks Kang Zhou, Yuning Qiu, Yuhang Li, Qibin Zhao, Guoxu Zhou
2025	A*	`conf`	Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance. CVPR Jin-Liang Xiao, Ting-Zhu Huang, Liang-Jian Deng, Guang Lin, Zihan Cao, Chao Li, Qibin Zhao
2025	J	`jnl`	Kernel Bayesian tensor ring decomposition for multiway data recovery. Neural Networks Zhenhao Huang, Guoxu Zhou, Yuning Qiu, Xinqi Chen, Qibin Zhao
2025	A*	`conf`	Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression. ICML Andong Wang, Yuning Qiu, Zhong Jin, Guoxu Zhou, Qibin Zhao
2025	J	`jnl`	Low-Rank and Relaxed-Nonnegative Attack on Nonnegative Matrix Factorization. IEEE Internet Things J. Yichun Qiu, Chao Li, Guoxu Zhou, Qibin Zhao, Shengli Xie
2025	J	`jnl`	Low-Rank, High-Order Tensor Completion via t- Product-Induced Tucker (tTucker) Decomposition. Neural Comput. Yaodong Li, Jun Tan, Peilin Yang, Guoxu Zhou, Qibin Zhao
2025	J	`jnl`	MCMFL: Monte-Carlo-Dropout-Based Multimodal Federated Learning for Giant Models in 6G Symbiotic Internet of Things. IEEE Internet Things J. Jinhua Chen, Yuning Qiu, Qibin Zhao, Guolong Chen, Osama Alfarraj, Keping Yu
2025	J	`jnl`	Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation. CoRR Guang Lin, Duc Thien Nguyen, Zerui Tao, Konstantinos Slavakis, Toshihisa Tanaka, Qibin Zhao
2025	J	`jnl`	Neural Bridge Processes. CoRR Jian Xu, Yican Liu, Qibin Zhao, John Paisley, Delu Zeng
2025	J	`jnl`	NeuronSeek: On Stability and Expressivity of Task-driven Neurons. CoRR Hanyu Pei, Jing-Xiao Liao, Qibin Zhao, Ting Gao, Shijun Zhang, Xiaoge Zhang, Feng-Lei Fan
2025	J	`jnl`	PLMQ: Piecewise linear mixed-precision quantization for deep neural networks. Neurocomputing Chao Feng, Guoxu Zhou, Xun Wu, Qibin Zhao
2025	—	`conf`	Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks. MICCAI (4) Binghua Li, Ziqing Chang, Tong Liang, Chao Li, Toshihisa Tanaka, Shigeki Aoki, Qibin Zhao, Zhe Sun
2025	J	`jnl`	Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks. CoRR Binghua Li, Ziqing Chang, Tong Liang, Chao Li, Toshihisa Tanaka, Shigeki Aoki, Qibin Zhao, Zhe Sun
2025	J	`jnl`	QuProFS: An Evolutionary Training-free Approach to Efficient Quantum Feature Map Search. CoRR Yaswitha Gujju, Romain Harang, Chao Li, Tetsuo Shibuya, Qibin Zhao
2025	A*	`conf`	STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search. CVPR Yuning Qiu, Andong Wang, Chao Li, Haonan Huang, Guoxu Zhou, Qibin Zhao
2025	J	`jnl`	Scaling Capability in Token Space: An Analysis of Large Vision Language Model. J. Mach. Learn. Res. Tenghui Li, Guoxu Zhou, Xuyang Zhao, Qibin Zhao
2025	J	`jnl`	Spontaneous Spatial Cognition Emerges during Egocentric Video Viewing through Non-invasive BCI. CoRR Weichen Dai, Yuxuan Huang, Li Zhu, Dongjun Liu, Yu Zhang, Qibin Zhao, Andrzej Cichocki, Fabio Babiloni, Ke Li, Jianyu Qiu, Gangyong Jia, Wanzeng Kong, Qing Wu
2025	A*	`conf`	Tensor Decomposition Based Memory-Efficient Incremental Learning. ICML Yuhang Li, Guoxu Zhou, Zhenhao Huang, Xinqi Chen, Yuning Qiu, Qibin Zhao
2025	J	`jnl`	Tensor Robust Kernel PCA for Multidimensional Data. IEEE Trans. Neural Networks Learn. Syst. Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Qibin Zhao
2025	J	`jnl`	Tensor network decomposition for data recovery: Recent advancements and future prospects. Neural Networks Yu-Bang Zheng, Xi-Le Zhao, Heng-Chao Li, Chao Li, Ting-Zhu Huang, Qibin Zhao
2025	J	`jnl`	Tensor ring rank determination using odd-dimensional unfolding. Neural Networks Yichun Qiu, Guoxu Zhou, Chao Li, Danilo P. Mandic, Qibin Zhao
2025	J	`jnl`	Towards spatio-temporal representation learning for EEG classification in motor imagery-based BCI system. Knowl. Based Syst. Siwei Liu, Jia Zhang, Hanrui Wu, Guoxu Zhou, Qibin Zhao, Jinyi Long
2025	J	`jnl`	Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models. CoRR Zerui Tao, Yuhta Takida, Naoki Murata, Qibin Zhao, Yuki Mitsufuji
2025	J	`jnl`	Unifying complete and incomplete multi-view clustering through an information-theoretic generative model. Neural Networks Yanghang Zheng, Guoxu Zhou, Haonan Huang, Xintao Luo, Zhenhao Huang, Qibin Zhao
2025	J	`jnl`	When, What, and How: Rethinking Retrieval-Enhanced Speculative Decoding. CoRR Min Fang, Zhihui Fu, Qibin Zhao, Jun Wang
2024	J	`jnl`	A Novel Tensor Ring Sparsity Measurement for Image Completion. Entropy Junhua Zeng, Yuning Qiu, Yumeng Ma, Andong Wang, Qibin Zhao
2024	A*	`conf`	Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization. ICLR Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao
2024	J	`jnl`	Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization. CoRR Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao
2024	A*	`conf`	Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework. ICML Haonan Huang, Guoxu Zhou, Yanghang Zheng, Yuning Qiu, Andong Wang, Qibin Zhao
2024	J	`jnl`	Bayesian tensor network structure search and its application to tensor completion. Neural Networks Junhua Zeng, Guoxu Zhou, Yuning Qiu, Chao Li, Qibin Zhao
2024	J	`jnl`	Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. Haonan Huang, Guoxu Zhou, Qibin Zhao, Lifang He, Shengli Xie
2024	A*	`conf`	Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance. ICML Mingyuan Bai, Wei Huang, Tenghui Li, Andong Wang, Junbin Gao, Cesar F. Caiafa, Qibin Zhao
2024	J	`jnl`	Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs). CoRR Junhua Zeng, Guoxu Zhou, Chao Li, Zhun Sun, Qibin Zhao
2024	J	`jnl`	Disentangled Adversarial Generalization Network for Cross-Session Task-Independent Brainprint Recognition. IEEE Trans. Cogn. Dev. Syst. Xuanyu Jin, Ni Li, Wanzeng Kong, Qibin Zhao, Jiajia Tang, Li Zhu, Jianting Cao
2024	A*	`conf`	Efficient Nonparametric Tensor Decomposition for Binary and Count Data. AAAI Zerui Tao, Toshihisa Tanaka, Qibin Zhao
2024	J	`jnl`	Efficient Nonparametric Tensor Decomposition for Binary and Count Data. CoRR Zerui Tao, Toshihisa Tanaka, Qibin Zhao
2024	J	`jnl`	EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge. CoRR Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka
2024	A*	`conf`	Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts. NeurIPS Andong Wang, Yuning Qiu, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao
2024	J	`jnl`	Generalized latent multi-view clustering with tensorized bipartite graph. Neural Networks Dongping Zhang, Haonan Huang, Qibin Zhao, Guoxu Zhou
2024	Misc	`conf`	Hierarchical Attacks on Large-Scale Graph Neural Networks. ICASSP Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao
2024	J	`jnl`	Hyperspectral and Multispectral Image Fusion via Bayesian Nonlocal CP Factorization. IEEE Geosci. Remote. Sens. Lett. Junhua Zeng, Guoxu Zhou, Yuning Qiu, Yumeng Ma, Qibin Zhao
2024	A*	`conf`	Jacobian Regularizer-based Neural Granger Causality. ICML Wanqi Zhou, Shuanghao Bai, Shujian Yu, Qibin Zhao, Badong Chen
2024	J	`jnl`	Jacobian Regularizer-based Neural Granger Causality. CoRR Wanqi Zhou, Shuanghao Bai, Shujian Yu, Qibin Zhao, Badong Chen
2024	J	`jnl`	Large Language Model Sentinel: Advancing Adversarial Robustness by LLM Agent. CoRR Guang Lin, Qibin Zhao
2024	J	`jnl`	MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification. CoRR Binghua Li, Jie Mao, Zhe Sun, Chao Li, Qibin Zhao, Toshihisa Tanaka
2024	J	`jnl`	Noisy Tensor Completion via Low-Rank Tensor Ring. IEEE Trans. Neural Networks Learn. Syst. Yuning Qiu, Guoxu Zhou, Qibin Zhao, Shengli Xie
2024	J	`jnl`	Nonparametric tensor ring decomposition with scalable amortized inference. Neural Networks Zerui Tao, Toshihisa Tanaka, Qibin Zhao
2024	J	`jnl`	Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion. Trans. Mach. Learn. Res. Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao
2024	J	`jnl`	Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective. CoRR Wanqi Zhou, Shuanghao Bai, Qibin Zhao, Badong Chen
2024	J	`jnl`	Robust Diffusion Models for Adversarial Purification. CoRR Guang Lin, Zerui Tao, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao
2024	A*	`conf`	SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective. CVPR Yu-Bang Zheng, Xi-Le Zhao, Junhua Zeng, Chao Li, Qibin Zhao, Heng-Chao Li, Ting-Zhu Huang
2024	J	`jnl`	Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis. CoRR Zerui Tao, Toshihisa Tanaka, Qibin Zhao
2024	J	`jnl`	Scaling Capability in Token Space: An Analysis of Large Vision Language Model. CoRR Tenghui Li, Guoxu Zhou, Xuyang Zhao, Qibin Zhao
2024	J	`jnl`	Semi-supervised multi-view concept decomposition. Expert Syst. Appl. Qi Jiang, Guoxu Zhou, Qibin Zhao
2024	J	`jnl`	TendiffPure: a convolutional tensor-train denoising diffusion model for purification. Frontiers Inf. Technol. Electron. Eng. Mingyuan Bai, Derun Zhou, Qibin Zhao
2024	A*	`conf`	Towards Multi-Mode Outlier Robust Tensor Ring Decomposition. AAAI Yuning Qiu, Guoxu Zhou, Andong Wang, Zhenhao Huang, Qibin Zhao
2024	J	`jnl`	Towards efficient and accurate approximation: tensor decomposition based on randomized block Krylov iteration. Signal Image Video Process. Yichun Qiu, Weijun Sun, Guoxu Zhou, Qibin Zhao
2024	J	`jnl`	Visual-Guided Dual-Spatial Interaction Network for Fine-Grained Brain Semantic Decoding. IEEE Trans. Instrum. Meas. Jiajia Tang, Yutao Yang, Qibin Zhao, Yu Ding, Jianhai Zhang, Yang Song, Wanzeng Kong
2024	A*	`conf`	tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs). ICML Junhua Zeng, Chao Li, Zhun Sun, Qibin Zhao, Guoxu Zhou
2023	A*	`conf`	Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations. ICML Chao Li, Junhua Zeng, Chunmei Li, Cesar F. Caiafa, Qibin Zhao
2023	J	`jnl`	Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations. CoRR Chao Li, Junhua Zeng, Chunmei Li, Cesar F. Caiafa, Qibin Zhao
2023	J	`jnl`	BAFN: Bi-Direction Attention Based Fusion Network for Multimodal Sentiment Analysis. IEEE Trans. Circuits Syst. Video Technol. Jiajia Tang, Dongjun Liu, Xuanyu Jin, Yong Peng, Qibin Zhao, Yu Ding, Wanzeng Kong
2023	J	`jnl`	Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation. IEEE CAA J. Autom. Sinica Haonan Huang, Guoxu Zhou, Naiyao Liang, Qibin Zhao, Shengli Xie
2023	J	`jnl`	Exclusivity and consistency induced NMF for multi-view representation learning. Knowl. Based Syst. Haonan Huang, Guoxu Zhou, Yanghang Zheng, Zuyuan Yang, Qibin Zhao
2023	J	`jnl`	Graph-Regularized Non-Negative Tensor-Ring Decomposition for Multiway Representation Learning. IEEE Trans. Cybern. Yuyuan Yu, Guoxu Zhou, Ning Zheng, Yuning Qiu, Shengli Xie, Qibin Zhao
2023	J	`jnl`	Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hailin Wang, Jiangjun Peng, Xiangyong Cao, Jianjun Wang, Qibin Zhao, Deyu Meng
2023	A*	`conf`	Memorization Weights for Instance Reweighting in Adversarial Training. AAAI Jianfu Zhang, Yan Hong, Qibin Zhao
2023	J	`jnl`	Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion. CoRR Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao
2023	J	`jnl`	SVDinsTN: An Integrated Method for Tensor Network Representation with Efficient Structure Search. CoRR Yu-Bang Zheng, Xi-Le Zhao, Junhua Zeng, Chao Li, Qibin Zhao, Heng-Chao Li, Ting-Zhu Huang
2023	—	`conf`	Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis. ICONIP (1) Zerui Tao, Toshihisa Tanaka, Qibin Zhao
2023	J	`jnl`	Semi-supervised multi-view concept decomposition. CoRR Qi Jiang, Guoxu Zhou, Qibin Zhao
2023	J	`jnl`	TT-Net: Tensorized Transformer Network for 3D medical image segmentation. Comput. Medical Imaging Graph. Jing Wang, Aixi Qu, Qing Wang, Qibin Zhao, Ju Liu, Qiang Wu
2023	A*	`conf`	Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks. NeurIPS Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao
2023	J	`jnl`	Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks. CoRR Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao
2023	J	`jnl`	Tree-Based Mix-Order Polynomial Fusion Network for Multimodal Sentiment Analysis. Syst. Jiajia Tang, Ming Hou, Xuanyu Jin, Jianhai Zhang, Qibin Zhao, Wanzeng Kong
2023	A*	`conf`	Undirected Probabilistic Model for Tensor Decomposition. NeurIPS Zerui Tao, Toshihisa Tanaka, Qibin Zhao
2023	J	`jnl`	Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond. CoRR Zhiqi Shao, Dai Shi, Andi Han, Yi Guo, Qibin Zhao, Junbin Gao
2022	J	`jnl`	A semi-supervised label-driven auto-weighted strategy for multi-view data classification. Knowl. Based Syst. Yuyuan Yu, Guoxu Zhou, Haonan Huang, Shengli Xie, Qibin Zhao
2022	J	`jnl`	Accommodating Multiple Tasks' Disparities With Distributed Knowledge-Sharing Mechanism. IEEE Trans. Cybern. Xinqi Chen, Guoxu Zhou, Yanjiao Wang, Ming Hou, Qibin Zhao, Shengli Xie
2022	J	`jnl`	Bayesian Tensor Completion and Decomposition with Automatic CP Rank Determination Using MGP Shrinkage Prior. SN Comput. Sci. Hiromu Takayama, Qibin Zhao, Hidekata Hontani, Tatsuya Yokota
2022	J	`jnl`	Data augmentation for Convolutional LSTM based brain computer interface system. Appl. Soft Comput. Kahoko Takahashi, Zhe Sun, Jordi Solé-Casals, Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Hui-Hai Zhao, Shangkun Deng, Ruggero Micheletto
2022	J	`jnl`	Efficient Tensor Robust PCA Under Hybrid Model of Tucker and Tensor Train. IEEE Signal Process. Lett. Yuning Qiu, Guoxu Zhou, Zhenhao Huang, Qibin Zhao, Shengli Xie
2022	J	`jnl`	Fast hypergraph regularized nonnegative tensor ring decomposition based on low-rank approximation. Appl. Intell. Xinhai Zhao, Yuyuan Yu, Guoxu Zhou, Qibin Zhao, Weijun Sun
2022	J	`jnl`	Hyperspectral super-resolution via coupled tensor ring factorization. Pattern Recognit. Wei He, Yong Chen, Naoto Yokoya, Chao Li, Qibin Zhao
2022	J	`jnl`	Imbalanced low-rank tensor completion via latent matrix factorization. Neural Networks Yuning Qiu, Guoxu Zhou, Junhua Zeng, Qibin Zhao, Shengli Xie
2022	J	`jnl`	Latent Matrices for Tensor Network Decomposition and to Tensor Completion. CoRR Peilin Yang, Weijun Sun, Qibin Zhao, Guoxu Zhou
2022	A*	`conf`	MMT: Multi-way Multi-modal Transformer for Multimodal Learning. IJCAI Jiajia Tang, Kang Li, Ming Hou, Xuanyu Jin, Wanzeng Kong, Yu Ding, Qibin Zhao
2022	J	`jnl`	Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior. IEEE Trans. Neural Networks Learn. Syst. Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki
2022	Misc	`conf`	Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization. ICASSP Haonan Huang, Yihao Luo, Guoxu Zhou, Qibin Zhao
2022	J	`jnl`	Multi-view Data Classification with a Label-driven Auto-weighted Strategy. CoRR Yuyuan Yu, Guoxu Zhou, Haonan Huang, Shengli Xie, Qibin Zhao
2022	J	`jnl`	Noisy Tensor Completion via Low-rank Tensor Ring. CoRR Yuning Qiu, Guoxu Zhou, Qibin Zhao, Shengli Xie
2022	J	`jnl`	Non-Local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang
2022	A*	`conf`	Permutation Search of Tensor Network Structures via Local Sampling. ICML Chao Li, Junhua Zeng, Zerui Tao, Qibin Zhao
2022	J	`jnl`	Permutation Search of Tensor Network Structures via Local Sampling. CoRR Chao Li, Junhua Zeng, Zerui Tao, Qibin Zhao
2022	A*	`conf`	SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG. NeurIPS Reinmar J. Kobler, Jun-ichiro Hirayama, Qibin Zhao, Motoaki Kawanabe
2022	J	`jnl`	SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG. CoRR Reinmar J. Kobler, Jun-ichiro Hirayama, Qibin Zhao, Motoaki Kawanabe
2022	J	`jnl`	Tensor Completion via Fully-Connected Tensor Network Decomposition with Regularized Factors. J. Sci. Comput. Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Qibin Zhao
2022	B	`conf`	Tensor Neural Controlled Differential Equations. IJCNN Mingyuan Bai, Jie Chen, Qibin Zhao, Chao Li, Junping Zhang, Junbin Gao
2022	J	`jnl`	Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective. J. Mach. Learn. Res. Tenghui Li, Guoxu Zhou, Yuning Qiu, Qibin Zhao
2022	J	`jnl`	Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration. CoRR Yichun Qiu, Weijun Sun, Guoxu Zhou, Qibin Zhao
2022	Misc	`conf`	Variational Bayesian Tensor Networks with Structured Posteriors. ICASSP Kriton Konstantinidis, Yao Lei Xu, Qibin Zhao, Danilo P. Mandic
2021	C	`conf`	Bayesian Latent Factor Model for Higher-order Data. ACML Zerui Tao, Xuyang Zhao, Toshihisa Tanaka, Qibin Zhao
2021	—	`conf`	CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network. ACL/IJCNLP (1) Jiajia Tang, Kang Li, Xuanyu Jin, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong
2021	J	`jnl`	Component-mixing strategy: A decomposition-based data augmentation algorithm for motor imagery signals. Neurocomputing Binghua Li, Zhiwen Zhang, Feng Duan, Zhenglu Yang, Qibin Zhao, Zhe Sun, Jordi Solé-Casals
2021	J	`jnl`	Efficient Tensor Robust PCA under Hybrid Model of Tucker and Tensor Train. CoRR Yuning Qiu, Guoxu Zhou, Zhenhao Huang, Qibin Zhao, Shengli Xie
2021	J	`jnl`	Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation. CoRR Xinhai Zhao, Yuyuan Yu, Guoxu Zhou, Qibin Zhao, Weijun Sun
2021	A*	`conf`	Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion. AAAI Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Qibin Zhao, Tai-Xiang Jiang
2021	J	`jnl`	Guaranteed Robust Tensor Completion via ∗L-SVD with Applications to Remote Sensing Data. Remote. Sens. Andong Wang, Guoxu Zhou, Qibin Zhao
2021	Misc	`conf`	Hide Chopin in the Music: Efficient Information Steganography Via Random Shuffling. ICASSP Zhun Sun, Chao Li, Qibin Zhao
2021	J	`jnl`	Hierarchical Factorization Strategy for High-Order Tensor and Application to Data Completion. IEEE Signal Process. Lett. Zefeng Chen, Guoxu Zhou, Qibin Zhao
2021	—	`conf`	Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding. CVPR Workshops Cesar F. Caiafa, Ziyao Wang, Jordi Solé-Casals, Qibin Zhao
2021	J	`jnl`	Low Tensor-Ring Rank Completion by Parallel Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. Jinshi Yu, Guoxu Zhou, Chao Li, Qibin Zhao, Shengli Xie
2021	B	`conf`	Multi-distorted Image Restoration with Tensor 1 × 1 Convolutional Layer. IJCNN Zihao Huang, Chao Li, Feng Duan, Qibin Zhao
2021	—	`conf`	Multi-feature Fusion for Epileptic Focus Localization Based on Tensor Representation. APSIPA ASC Xuyang Zhao, Jordi Solé-Casals, Qibin Zhao, Jianting Cao, Toshihisa Tanaka
2021	A	`conf`	On the Memory Mechanism of Tensor-Power Recurrent Models. AISTATS Hejia Qiu, Chao Li, Ying Weng, Zhun Sun, Xingyu He, Qibin Zhao
2021	J	`jnl`	On the Memory Mechanism of Tensor-Power Recurrent Models. CoRR Hejia Qiu, Chao Li, Ying Weng, Zhun Sun, Xingyu He, Qibin Zhao
2021	Misc	`conf`	Tensor Decomposition Via Core Tensor Networks. ICASSP Jianfu Zhang, Zerui Tao, Liqing Zhang, Qibin Zhao
2021	J	`jnl`	Tensor Recovery via $*_L$-Spectral $k$-Support Norm. IEEE J. Sel. Top. Signal Process. Andong Wang, Guoxu Zhou, Zhong Jin, Qibin Zhao
2021	B	`conf`	Tensorial Time Series Prediction via Tensor Neural Ordinary Differential Equations. IJCNN Mingyuan Bai, Qibin Zhao, Junbin Gao
2021	J	`jnl`	Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution. CoRR Tenghui Li, Guoxu Zhou, Yuning Qiu, Qibin Zhao
2020	A*	`conf`	Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling. AAAI Chao Li, Mohammad Emtiyaz Khan, Zhun Sun, Gang Niu, Bo Han, Shengli Xie, Qibin Zhao
2020	Misc	`conf`	Classification of Epileptic IEEG Signals by CNN and Data Augmentation. ICASSP Xuyang Zhao, Jordi Solé-Casals, Binghua Li, Zihao Huang, Andong Wang, Jianting Cao, Toshihisa Tanaka, Qibin Zhao
2020	J	`jnl`	Graph Regularized Nonnegative Tensor Ring Decomposition for Multiway Representation Learning. CoRR Yuyuan Yu, Guoxu Zhou, Ning Zheng, Shengli Xie, Qibin Zhao
2020	J	`jnl`	H-OWAN: Multi-distorted Image Restoration with Tensor 1x1 Convolution. CoRR Zihao Huang, Chao Li, Feng Duan, Qibin Zhao
2020	J	`jnl`	Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization. CoRR Wei He, Yong Chen, Naoto Yokoya, Chao Li, Qibin Zhao
2020	J	`jnl`	Learning from Incomplete Data by Simultaneous Training of Neural Networks and Sparse Coding. CoRR Cesar F. Caiafa, Ziyao Wang, Jordi Solé-Casals, Qibin Zhao
2020	J	`jnl`	Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration. CoRR Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang
2020	J	`jnl`	Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion. Mach. Learn. Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao
2020	A*	`conf`	Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms. AAAI Andong Wang, Chao Li, Zhong Jin, Qibin Zhao
2020	—	`conf`	TPFN: Applying Outer Product Along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data. ECCV (24) Binghua Li, Chao Li, Feng Duan, Ning Zheng, Qibin Zhao
2019	—	`conf`	A One-Dimensional Convolutional Neural Network Model for Automated Localization of Epileptic Foci. APSIPA Boning Li, Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao
2019	A*	`conf`	Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling. NeurIPS Ming Hou, Jiajia Tang, Jianhai Zhang, Wanzeng Kong, Qibin Zhao
2019	J	`jnl`	Editorial to The Special Issue on Tensor Image Processing. Signal Process. Image Commun. Yipeng Liu, Yuning Yang, Qibin Zhao, Shuchin Aeron
2019	J	`jnl`	Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization. IEEE Trans. Neural Networks Learn. Syst. Qiquan Shi, Yiu-ming Cheung, Qibin Zhao, Haiping Lu
2019	A*	`conf`	Guaranteed Matrix Completion Under Multiple Linear Transformations. CVPR Chao Li, Wei He, Longhao Yuan, Zhun Sun, Qibin Zhao
2019	J	`jnl`	High-order tensor completion via gradient-based optimization under tensor train format. Signal Process. Image Commun. Longhao Yuan, Qibin Zhao, Lihua Gui, Jianting Cao
2019	Misc	`conf`	Learning Efficient Tensor Representations with Ring-structured Networks. ICASSP Qibin Zhao, Masashi Sugiyama, Longhao Yuan, Andrzej Cichocki
2019	—	`conf`	Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization. ACL (1) Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency
2019	J	`jnl`	Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization. CoRR Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency
2019	Misc	`conf`	Localization of Epileptic Foci by Using Convolutional Neural Network Based on iEEG. AIAI Linfeng Sui, Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao
2019	Misc	`conf`	Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. ICASSP Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao
2019	J	`jnl`	Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior". CoRR Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki
2019	A*	`conf`	Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. CVPR Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao
2019	J	`jnl`	Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm. Bioinform. Michio Iwata, Longhao Yuan, Qibin Zhao, Yasuo Tabei, Francois Berenger, Ryusuke Sawada, Sayaka Akiyoshi, Momoko Hamano, Yoshihiro Yamanishi
2019	—	`conf`	Quasi-Brain-Death EEG Diagnosis Based on Tensor Train Decomposition. ISNN (2) Qipeng Chen, Longhao Yuan, Yao Miao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao
2019	Misc	`conf`	Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction. ICASSP Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao
2019	J	`jnl`	Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction. CoRR Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao
2019	J	`jnl`	Remote Sensing Image Reconstruction Using Tensor Ring Completion and Total Variation. IEEE Trans. Geosci. Remote. Sens. Wei He, Naoto Yokoya, Longhao Yuan, Qibin Zhao
2019	J	`jnl`	Task-free brainprint recognition based on low-rank and sparse decomposition model. Int. J. Data Min. Bioinform. Wanzeng Kong, Xianghao Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki
2019	A*	`conf`	Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. AAAI Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao
2019	J	`jnl`	Tensor-Ring Nuclear Norm Minimization and Application for Visual Data Completion. CoRR Jinshi Yu, Chao Li, Qibin Zhao, Guoxu Zhou
2019	Misc	`conf`	Tensor-ring Nuclear Norm Minimization and Application for Visual : Data Completion. ICASSP Jinshi Yu, Chao Li, Qibin Zhao, Guoxu Zhao
2019	J	`jnl`	Tucker Tensor Layer in Fully Connected Neural Networks. CoRR Giuseppe Giovanni Calvi, Ahmad Moniri, Mahmoud Mahfouz, Zeyang Yu, Qibin Zhao, Danilo P. Mandic
2018	J	`jnl`	AI Neurotechnology for Aging Societies - Task-load and Dementia EEG Digital Biomarker Development Using Information Geometry Machine Learning Methods. CoRR Tomasz M. Rutkowski, Qibin Zhao, Masato S. Abe, Mihoko Otake
2018	—	`conf`	An Effective Tensor Completion Method Based on Multi-linear Tensor Ring Decomposition. APSIPA Jinshi Yu, Guoxu Zhou, Qibin Zhao, Kan Xie
2018	J	`jnl`	Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach. Cogn. Comput. Jordi Solé-Casals, Cesar Federico Caiafa, Qibin Zhao, Andrzej Cichocki
2018	—	`conf`	Detection of Epileptic Foci Based on Interictal iEEG by Using Convolutional Neural Network. DSP Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Wanzeng Kong, Hidenori Sugano, Noboru Yoshida
2018	—	`conf`	Epileptic Focus Localization Based on iEEG by Using Positive Unlabeled (PU) Learning. APSIPA Xuyang Zhao, Toshihisa Tanaka, Wanzeng Kong, Qibin Zhao, Jianting Cao, Hidenori Sugano, Noboru Yoshida
2018	A*	`conf`	Generative Adversarial Positive-Unlabelled Learning. IJCAI Ming Hou, Brahim Chaib-draa, Chao Li, Qibin Zhao
2018	Misc	`conf`	High-Order Tensor Completion for Data Recovery via Sparse Tensor-Train Optimization. ICASSP Longhao Yuan, Qibin Zhao, Jianting Cao
2018	J	`jnl`	High-dimension Tensor Completion via Gradient-based Optimization Under Tensor-train Format. CoRR Longhao Yuan, Qibin Zhao, Jianting Cao
2018	—	`conf`	Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition. APSIPA Longhao Yuan, Jianting Cao, Xuyang Zhao, Qiang Wu, Qibin Zhao
2018	J	`jnl`	Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition. CoRR Longhao Yuan, Jianting Cao, Qiang Wu, Qibin Zhao
2018	—	`conf`	Learning Efficient Tensor Representations with Ring Structure Networks. ICLR (Workshop) Qibin Zhao, Masashi Sugiyama, Longhao Yuan, Andrzej Cichocki
2018	J	`jnl`	Low-Rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. CoRR Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao
2018	J	`jnl`	Low-Rank Tensor Decomposition via Multiple Reshaping and Reordering Operations. CoRR Chao Li, Mohammad Emtiyaz Khan, Shengli Xie, Qibin Zhao
2018	J	`jnl`	Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. CoRR Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao
2018	J	`jnl`	Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion. CoRR Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao
2018	—	`conf`	Task-Independent EEG Identification via Low-Rank Matrix Decomposition. BIBM Xianghao Kong, Wanzeng Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki
2018	J	`jnl`	Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. CoRR Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao
2018	J	`jnl`	The Dynamic EEG Microstates in Mental Rotation. Sensors Wanzeng Kong, Luyun Wang, Jianhai Zhang, Qibin Zhao, Junfeng Sun
2017	—	`conf`	A Graph Theory Analysis on Distinguishing EEG-Based Brain Death and Coma. ICONIP (4) Gaochao Cui, Li Zhu, Qibin Zhao, Jianting Cao, Andrzej Cichocki
2017	J	`jnl`	A generative adversarial framework for positive-unlabeled classification. CoRR Ming Hou, Qibin Zhao, Chao Li, Brahim Chaib-draa
2017	—	`conf`	Brain image completion by Bayesian tensor decomposition. DSP Lihua Gui, Qibin Zhao, Jianting Cao
2017	—	`conf`	Completion of High Order Tensor Data with Missing Entries via Tensor-Train Decomposition. ICONIP (1) Longhao Yuan, Qibin Zhao, Jianting Cao
2017	J	`jnl`	Completion of High Order Tensor Data with Missing Entries via Tensor-train Decomposition. CoRR Longhao Yuan, Qibin Zhao, Jianting Cao
2017	—	`conf`	Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition. ECML/PKDD (1) Qiquan Shi, Yiu-ming Cheung, Qibin Zhao
2017	J	`jnl`	High-order Tensor Completion for Data Recovery via Sparse Tensor-train Optimization. CoRR Longhao Yuan, Qibin Zhao, Jianting Cao
2017	J	`jnl`	Learning Efficient Tensor Representations with Ring Structure Networks. CoRR Qibin Zhao, Masashi Sugiyama, Andrzej Cichocki
2017	C	`conf`	Semi-supervised Regularized Discriminant Analysis for EEG-Based BCI System. IDEAL Yuhang Xin, Qiang Wu, Qibin Zhao, Qi Wu
2017	J	`jnl`	Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives. CoRR Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic
2017	J	`jnl`	Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives. Found. Trends Mach. Learn. Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic
2017	J	`jnl`	Tensorizing Generative Adversarial Nets. CoRR Xingwei Cao, Qibin Zhao
2016	B	`conf`	Bayesian CP factorization of incomplete tensor for EEG signal application. FUZZ-IEEE Gaochao Cui, Lihua Gui, Qibin Zhao, Andrzej Cichocki, Jianting Cao
2016	J	`jnl`	Bayesian Robust Tensor Factorization for Incomplete Multiway Data. IEEE Trans. Neural Networks Learn. Syst. Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari
2016	A*	`conf`	Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression. AAAI Ming Hou, Qibin Zhao, Brahim Chaib-draa, Andrzej Cichocki
2016	—	`conf`	Dynamic MEMD Associated with Approximate Entropy in Patients' Consciousness Evaluation. ICONIP (1) Gaochao Cui, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Andrzej Cichocki
2016	—	`conf`	Exploiting ongoing EEG with multilinear partial least squares during free-listening to music. MLSP Deqing Wang, Fengyu Cong, Qibin Zhao, Petri Toiviainen, Asoke K. Nandi, Minna Huotilainen, Tapani Ristaniemi, Andrzej Cichocki
2016	J	`jnl`	Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation. Neurocomputing Yu Zhang, Guoxu Zhou, Qibin Zhao, Andrzej Cichocki, Xingyu Wang
2016	A	`conf`	Higher-Order Correlation Coefficient Analysis for EEG-Based Brain-Computer Interface. ECAI Ye Liu, Qibin Zhao, Min Chen, Liqing Zhang
2016	J	`jnl`	Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data. Proc. IEEE Guoxu Zhou, Qibin Zhao, Yu Zhang, Tülay Adali, Shengli Xie, Andrzej Cichocki
2016	J	`jnl`	Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1. CoRR Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic
2016	Misc	`conf`	Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion. ICASSP Yu Zhang, Qibin Zhao, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki
2016	J	`jnl`	Smooth PARAFAC Decomposition for Tensor Completion. IEEE Trans. Signal Process. Tatsuya Yokota, Qibin Zhao, Andrzej Cichocki
2016	J	`jnl`	Sparse Bayesian Classification of EEG for Brain-Computer Interface. IEEE Trans. Neural Networks Learn. Syst. Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao, Xingyu Wang, Andrzej Cichocki
2016	J	`jnl`	Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. Found. Trends Mach. Learn. Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic
2016	J	`jnl`	Tensor Ring Decomposition. CoRR Qibin Zhao, Guoxu Zhou, Shengli Xie, Liqing Zhang, Andrzej Cichocki
2016	C	`conf`	Video denoising using low rank tensor decomposition. ICMV Lihua Gui, Gaochao Cui, Qibin Zhao, Dongsheng Wang, Andrzej Cichocki, Jianting Cao
2015	J	`jnl`	Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination. IEEE Trans. Pattern Anal. Mach. Intell. Qibin Zhao, Liqing Zhang, Andrzej Cichocki
2015	J	`jnl`	Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion. CoRR Qibin Zhao, Liqing Zhang, Andrzej Cichocki
2015	J	`jnl`	Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. IEEE Trans. Image Process. Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie
2015	—	`conf`	Epileptic EEG visualization and sonification based on linear discriminate analysis. EMBC Wei Chen, Chia-Ping Shen, Ming-Jang Chiu, Qibin Zhao, Andrzej Cichocki, Jeng-Wei Lin, Feipei Lai
2015	J	`jnl`	Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data. CoRR Guoxu Zhou, Qibin Zhao, Yu Zhang, Tülay Adali, Shengli Xie, Andrzej Cichocki
2015	A*	`conf`	Multi-tensor Completion with Common Structures. AAAI Chao Li, Qibin Zhao, Junhua Li, Andrzej Cichocki, Lili Guo
2015	J	`jnl`	Smooth PARAFAC Decomposition for Tensor Completion. CoRR Tatsuya Yokota, Qibin Zhao, Chao Li, Andrzej Cichocki
2015	J	`jnl`	Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis. IEEE Signal Process. Mag. Andrzej Cichocki, Danilo P. Mandic, Lieven De Lathauwer, Guoxu Zhou, Qibin Zhao, Cesar F. Caiafa, Anh Huy Phan
2015	J	`jnl`	Uncorrelated Multiway Discriminant Analysis for Motor Imagery EEG Classification. Int. J. Neural Syst. Ye Liu, Qibin Zhao, Liqing Zhang
2014	J	`jnl`	Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface. Int. J. Neural Syst. Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao, Xingyu Wang, Andrzej Cichocki
2014	J	`jnl`	Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination. CoRR Qibin Zhao, Liqing Zhang, Andrzej Cichocki
2014	A	`conf`	Common Spatial-Spectral Boosting Pattern for Brain-Computer Interface. ECAI Ye Liu, Hao Zhang, Qibin Zhao, Liqing Zhang
2014	J	`jnl`	Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. CoRR Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie
2014	C	`conf`	Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient. ISNN Guoxu Zhou, Qibin Zhao, Yu Zhang, Andrzej Cichocki
2014	—	`conf`	Hybrid-BCI: Classification of auditory and visual related potentials. SCIS&ISIS Gaochao Cui, Qibin Zhao, Jianting Cao, Andrzej Cichocki
2014	J	`jnl`	Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials. Int. J. Neural Syst. Fengyu Cong, Guoxu Zhou, Piia Astikainen, Qibin Zhao, Qiang Wu, Asoke K. Nandi, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki
2014	J	`jnl`	Multilinear and nonlinear generalizations of partial least squares: an overview of recent advances. WIREs Data Mining Knowl. Discov. Qibin Zhao, Liqing Zhang, Andrzej Cichocki
2014	J	`jnl`	Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective. IEEE Signal Process. Mag. Guoxu Zhou, Andrzej Cichocki, Qibin Zhao, Shengli Xie
2014	J	`jnl`	Robust Bayesian Tensor Factorization for Incomplete Multiway Data. CoRR Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari
2014	J	`jnl`	Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis. CoRR Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, Cesar F. Caiafa, Guoxu Zhou, Qibin Zhao, Lieven De Lathauwer
2014	Misc	`conf`	Tensor-variate Gaussian processes regression and its application to video surveillance. ICASSP Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki
2013	A*	`conf`	A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data. AAAI Qibin Zhao, Liqing Zhang, Andrzej Cichocki
2013	J	`jnl`	Design of assistive Wheelchair System directly Steered by Human Thoughts. Int. J. Neural Syst. Junhua Li, Jianyi Liang, Qibin Zhao, Jie Li, Kan Hong, Liqing Zhang
2013	J	`jnl`	Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method. IEEE Trans. Pattern Anal. Mach. Intell. Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Liqing Zhang, Andrzej Cichocki
2013	Misc	`conf`	Kernel-based tensor partial least squares for reconstruction of limb movements. ICASSP Qibin Zhao, Guoxu Zhou, Tülay Adali, Liqing Zhang, Andrzej Cichocki
2013	J	`jnl`	Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data. IEEE Signal Process. Mag. Qibin Zhao, Guoxu Zhou, Tülay Adali, Liqing Zhang, Andrzej Cichocki
2013	J	`jnl`	Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG. Int. J. Neural Syst. Fengyu Cong, Anh Huy Phan, Piia Astikainen, Qibin Zhao, Qiang Wu, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki
2013	—	`conf`	Patients' consciousness analysis using dynamic approximate entropy and MEMD method. APSIPA Gaochao Cui, Yunchao Yin, Qibin Zhao, Andrzej Cichocki, Jianting Cao
2012	—	`conf`	Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization. EUSIPCO Fengyu Cong, Anh Huy Phan, Qibin Zhao, Asoke K. Nandi, Vinoo Alluri, Petri Toiviainen, Hanna Poikonen, Minna Huotilainen, Andrzej Cichocki, Tapani Ristaniemi
2012	J	`jnl`	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. Fengyu Cong, Anh Huy Phan, Qibin Zhao, Tiina Huttunen-Scott, Jukka Kaartinen, Tapani Ristaniemi, Heikki Lyytinen, Andrzej Cichocki
2012	C	`conf`	Canonical Polyadic Decomposition: From 3-way to N-Way. CIS Guoxu Zhou, Zhaoshui He, Yu Zhang, Qibin Zhao, Andrzej Cichocki
2012	—	`conf`	Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations. ICONIP (3) Fengyu Cong, Anh Huy Phan, Qibin Zhao, Qiang Wu, Tapani Ristaniemi, Andrzej Cichocki
2012	J	`jnl`	Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method CoRR Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Liqing Zhang, Andrzej Cichocki
2012	—	`conf`	Higher-order PLS for classification of ERPs with application to BCIs. APSIPA Qibin Zhao, Liqing Zhang, Jianting Cao, Andrzej Cichocki
2012	—	`conf`	Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data. LVA/ICA Fengyu Cong, Anh Huy Phan, Piia Astikainen, Qibin Zhao, Jari K. Hietanen, Tapani Ristaniemi, Andrzej Cichocki
2012	—	`conf`	Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI. FSKD Yu Zhang, Qibin Zhao, Guoxu Zhou, Xingyu Wang, Andrzej Cichocki
2012	—	`conf`	Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials. MLSP Fengyu Cong, Guoxu Zhou, Qibin Zhao, Qiang Wu, Asoke K. Nandi, Tapani Ristaniemi, Andrzej Cichocki
2012	J	`jnl`	Tongue-Rudder: A Glossokinetic-Potential-Based Tongue-Machine Interface. IEEE Trans. Biomed. Eng. Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi
2011	—	`conf`	A Novel Oddball Paradigm for Affective BCIs Using Emotional Faces as Stimuli. ICONIP (1) Qibin Zhao, Akinari Onishi, Yu Zhang, Jianting Cao, Liqing Zhang, Andrzej Cichocki
2011	—	`conf`	Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach. NIPS Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-Bonhage, Andrzej Cichocki
2011	—	`conf`	Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs. ICONIP (1) Yu Zhang, Guoxu Zhou, Qibin Zhao, Akinari Onishi, Jing Jin, Xingyu Wang, Andrzej Cichocki
2010	—	`conf`	A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials. ICONIP (2) Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi
2010	J	`jnl`	Mind Flipper: An EEG-Based Brain Computer Interface for Page-Turning During Presentation. Aust. J. Intell. Inf. Process. Syst. Yunjun Nam, Hyohyeong Kang, Qibin Zhao, Andrzej Cichocki, Seungjin Choi
2009	Misc	`conf`	Multilinear generalization of Common Spatial Pattern. ICASSP Qibin Zhao, Liqing Zhang, Andrzej Cichocki
2009	—	`conf`	Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains. ICONIP (1) Qibin Zhao, Cesar F. Caiafa, Andrzej Cichocki, Liqing Zhang, Anh Huy Phan
2008	B	`conf`	Incremental Common Spatial Pattern algorithm for BCI. IJCNN Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Jie Li
2008	—	`conf`	Multi-Task BCI for Online Game Control. SJTU-TUB Joint Workshop Qibin Zhao, Liqing Zhang, Jie Li
2008	J	`jnl`	Noninvasive BCIs: Multiway Signal-Processing Array Decompositions. Computer Andrzej Cichocki, Yoshikazu Washizawa, Tomasz M. Rutkowski, Hovagim Bakardjian, Anh Huy Phan, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, Yuanqing Li
2007	J	`jnl`	Temporal and Spatial Features of Single-Trial EEG for Brain-Computer Interface. Comput. Intell. Neurosci. Qibin Zhao, Liqing Zhang
2006	—	`conf`	Two-Stage Temporally Correlated Source Extraction Algorithm with Its Application in Extraction of Event-Related Potentials. ICONIP (2) Zhi-Lin Zhang, Liqing Zhang, Xiu-Ling Wu, Jie Li, Qibin Zhao