Two-Stage Temporally Correlated Source Extraction Algorithm with Its Application in Extraction of Event-Related Potentials. - Zhi-Lin Zhang; Liqing Zhang 001; Xiu-Ling Wu; Jie Li 016; Qibin Zhao (ICONIP (2), 2006)

Temporal and Spatial Features of Single-Trial EEG for Brain-Computer Interface. - Qibin Zhao; Liqing Zhang 001 (Comput. Intell. Neurosci., 2007)

Incremental Common Spatial Pattern algorithm for BCI. - Qibin Zhao; Liqing Zhang 001; Andrzej Cichocki; Jie Li 016 (IJCNN, 2008)

Multi-Task BCI for Online Game Control. - Qibin Zhao; Liqing Zhang 001; Jie Li 016 (SJTU-TUB Joint Workshop, 2008)

Noninvasive BCIs: Multiway Signal-Processing Array Decompositions. - Andrzej Cichocki; Yoshikazu Washizawa; Tomasz M. Rutkowski; Hovagim Bakardjian; Anh Huy Phan 001; Seungjin Choi; Hyekyoung Lee; Qibin Zhao; Liqing Zhang 001; Yuanqing Li 001 (Computer, 2008)

Multilinear generalization of Common Spatial Pattern. - Qibin Zhao; Liqing Zhang 001; Andrzej Cichocki (ICASSP, 2009)

Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains. - Qibin Zhao; Cesar F. Caiafa; Andrzej Cichocki; Liqing Zhang 001; Anh Huy Phan 001 (ICONIP (1), 2009)

A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials. - Yunjun Nam; Qibin Zhao; Andrzej Cichocki; Seungjin Choi (ICONIP (2), 2010)

Mind Flipper: An EEG-Based Brain Computer Interface for Page-Turning During Presentation. - Yunjun Nam; Hyohyeong Kang; Qibin Zhao; Andrzej Cichocki; Seungjin Choi (Aust. J. Intell. Inf. Process. Syst., 2010)

Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs. - Yu Zhang 009; Guoxu Zhou; Qibin Zhao; Akinari Onishi; Jing Jin 001; Xingyu Wang 004; Andrzej Cichocki (ICONIP (1), 2011)

A Novel Oddball Paradigm for Affective BCIs Using Emotional Faces as Stimuli. - Qibin Zhao; Akinari Onishi; Yu Zhang 009; Jianting Cao; Liqing Zhang 001; Andrzej Cichocki (ICONIP (1), 2011)

Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach. - Qibin Zhao; Cesar F. Caiafa; Danilo P. Mandic; Liqing Zhang 001; Tonio Ball; Andreas Schulze-Bonhage; Andrzej Cichocki (NIPS, 2011)

Higher-order PLS for classification of ERPs with application to BCIs. - Qibin Zhao; Liqing Zhang 001; Jianting Cao; Andrzej Cichocki (APSIPA, 2012)

Canonical Polyadic Decomposition: From 3-way to N-Way. - Guoxu Zhou; Zhaoshui He; Yu Zhang 009; Qibin Zhao; Andrzej Cichocki (CIS, 2012)

Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization. - Fengyu Cong; Anh Huy Phan 001; Qibin Zhao; Asoke K. Nandi; Vinoo Alluri; Petri Toiviainen; Hanna Poikonen; Minna Huotilainen; Andrzej Cichocki; Tapani Ristaniemi (EUSIPCO, 2012)

Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI. - Yu Zhang 009; Qibin Zhao; Guoxu Zhou; Xingyu Wang 004; Andrzej Cichocki (FSKD, 2012)

Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data. - Fengyu Cong; Anh Huy Phan 001; Piia Astikainen; Qibin Zhao; Jari K. Hietanen; Tapani Ristaniemi; Andrzej Cichocki (LVA/ICA, 2012)

Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations. - Fengyu Cong; Anh Huy Phan 001; Qibin Zhao; Qiang Wu 009; Tapani Ristaniemi; Andrzej Cichocki (ICONIP (3), 2012)

Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials. - Fengyu Cong; Guoxu Zhou; Qibin Zhao; Qiang Wu 009; Asoke K. Nandi; Tapani Ristaniemi; Andrzej Cichocki (MLSP, 2012)

Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method - Qibin Zhao; Cesar F. Caiafa; Danilo P. Mandic; Zenas C. Chao; Yasuo Nagasaka; Naotaka Fujii; Liqing Zhang 001; Andrzej Cichocki (CoRR, 2012)

Benefits of Multi-Domain Feature of mismatch Negativity Extracted by Non-Negative Tensor Factorization from EEG Collected by Low-Density Array. - Fengyu Cong; Anh Huy Phan 001; Qibin Zhao; Tiina Huttunen-Scott; Jukka Kaartinen; Tapani Ristaniemi; Heikki Lyytinen; Andrzej Cichocki (Int. J. Neural Syst., 2012)

Tongue-Rudder: A Glossokinetic-Potential-Based Tongue-Machine Interface. - Yunjun Nam; Qibin Zhao; Andrzej Cichocki; Seungjin Choi (IEEE Trans. Biomed. Eng., 2012)

A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data. - Qibin Zhao; Liqing Zhang 001; Andrzej Cichocki (AAAI, 2013)

Patients' consciousness analysis using dynamic approximate entropy and MEMD method. - Gaochao Cui; Yunchao Yin; Qibin Zhao; Andrzej Cichocki; Jianting Cao (APSIPA, 2013)

Kernel-based tensor partial least squares for reconstruction of limb movements. - Qibin Zhao; Guoxu Zhou; Tülay Adali; Liqing Zhang 001; Andrzej Cichocki (ICASSP, 2013)

Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG. - Fengyu Cong; Anh Huy Phan 001; Piia Astikainen; Qibin Zhao; Qiang Wu 009; Jari K. Hietanen; Tapani Ristaniemi; Andrzej Cichocki (Int. J. Neural Syst., 2013)

Design of assistive Wheelchair System directly Steered by Human Thoughts. - Junhua Li; Jianyi Liang; Qibin Zhao; Jie Li 016; Kan Hong; Liqing Zhang 001 (Int. J. Neural Syst., 2013)

Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method. - Qibin Zhao; Cesar F. Caiafa; Danilo P. Mandic; Zenas C. Chao; Yasuo Nagasaka; Naotaka Fujii; Liqing Zhang 001; Andrzej Cichocki (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data. - Qibin Zhao; Guoxu Zhou; Tülay Adali; Liqing Zhang 001; Andrzej Cichocki (IEEE Signal Process. Mag., 2013)

Common Spatial-Spectral Boosting Pattern for Brain-Computer Interface. - Ye Liu 008; Hao Zhang 072; Qibin Zhao; Liqing Zhang 001 (ECAI, 2014)

Tensor-variate Gaussian processes regression and its application to video surveillance. - Qibin Zhao; Guoxu Zhou; Liqing Zhang 001; Andrzej Cichocki (ICASSP, 2014)

Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient. - Guoxu Zhou; Qibin Zhao; Yu Zhang 009; Andrzej Cichocki (ISNN, 2014)

Hybrid-BCI: Classification of auditory and visual related potentials. - Gaochao Cui; Qibin Zhao; Jianting Cao; Andrzej Cichocki (SCIS&ISIS, 2014)

Robust Bayesian Tensor Factorization for Incomplete Multiway Data. - Qibin Zhao; Guoxu Zhou; Liqing Zhang 001; Andrzej Cichocki; Shun-ichi Amari (CoRR, 2014)

Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials. - Fengyu Cong; Guoxu Zhou; Piia Astikainen; Qibin Zhao; Qiang Wu 009; Asoke K. Nandi; Jari K. Hietanen; Tapani Ristaniemi; Andrzej Cichocki (Int. J. Neural Syst., 2014)

Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface. - Yu Zhang 009; Guoxu Zhou; Jing Jin 001; Qibin Zhao; Xingyu Wang 004; Andrzej Cichocki (Int. J. Neural Syst., 2014)

Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective. - Guoxu Zhou; Andrzej Cichocki; Qibin Zhao; Shengli Xie (IEEE Signal Process. Mag., 2014)

Multilinear and nonlinear generalizations of partial least squares: an overview of recent advances. - Qibin Zhao; Liqing Zhang 001; Andrzej Cichocki (WIREs Data Mining Knowl. Discov., 2014)

Multi-tensor Completion with Common Structures. - Chao Li 013; Qibin Zhao; Junhua Li; Andrzej Cichocki; Lili Guo (AAAI, 2015)

Epileptic EEG visualization and sonification based on linear discriminate analysis. - Wei Chen; Chia-Ping Shen; Ming-Jang Chiu; Qibin Zhao; Andrzej Cichocki; Jeng-Wei Lin; Feipei Lai (EMBC, 2015)

Smooth PARAFAC Decomposition for Tensor Completion. - Tatsuya Yokota; Qibin Zhao; Chao Li 013; Andrzej Cichocki (CoRR, 2015)

Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion. - Qibin Zhao; Liqing Zhang 001; Andrzej Cichocki (CoRR, 2015)

Uncorrelated Multiway Discriminant Analysis for Motor Imagery EEG Classification. - Ye Liu 008; Qibin Zhao; Liqing Zhang 001 (Int. J. Neural Syst., 2015)

Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination. - Qibin Zhao; Liqing Zhang 001; Andrzej Cichocki (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis. - Andrzej Cichocki; Danilo P. Mandic; Lieven De Lathauwer; Guoxu Zhou; Qibin Zhao; Cesar F. Caiafa; Anh Huy Phan 001 (IEEE Signal Process. Mag., 2015)

Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. - Guoxu Zhou; Andrzej Cichocki; Qibin Zhao; Shengli Xie (IEEE Trans. Image Process., 2015)

Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression. - Ming Hou; Qibin Zhao; Brahim Chaib-draa; Andrzej Cichocki (AAAI, 2016)

Higher-Order Correlation Coefficient Analysis for EEG-Based Brain-Computer Interface. - Ye Liu 008; Qibin Zhao; Min Chen; Liqing Zhang 001 (ECAI, 2016)

Bayesian CP factorization of incomplete tensor for EEG signal application. - Gaochao Cui; Lihua Gui; Qibin Zhao; Andrzej Cichocki; Jianting Cao (FUZZ-IEEE, 2016)

Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion. - Yu Zhang 009; Qibin Zhao; Guoxu Zhou; Jing Jin 001; Xingyu Wang 004; Andrzej Cichocki (ICASSP, 2016)

Video denoising using low rank tensor decomposition. - Lihua Gui; Gaochao Cui; Qibin Zhao; Dongsheng Wang; Andrzej Cichocki; Jianting Cao (ICMV, 2016)

Dynamic MEMD Associated with Approximate Entropy in Patients' Consciousness Evaluation. - Gaochao Cui; Qibin Zhao; Toshihisa Tanaka 001; Jianting Cao; Andrzej Cichocki (ICONIP (1), 2016)

Exploiting ongoing EEG with multilinear partial least squares during free-listening to music. - Deqing Wang; Fengyu Cong; Qibin Zhao; Petri Toiviainen; Asoke K. Nandi; Minna Huotilainen; Tapani Ristaniemi; Andrzej Cichocki (MLSP, 2016)

Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1. - Andrzej Cichocki; Namgil Lee; Ivan V. Oseledets; Anh Huy Phan 001; Qibin Zhao; Danilo P. Mandic (CoRR, 2016)

Tensor Ring Decomposition. - Qibin Zhao; Guoxu Zhou; Shengli Xie; Liqing Zhang 001; Andrzej Cichocki (CoRR, 2016)

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. - Andrzej Cichocki; Namgil Lee; Ivan V. Oseledets; Anh Huy Phan 001; Qibin Zhao; Danilo P. Mandic (Found. Trends Mach. Learn., 2016)

Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation. - Yu Zhang 009; Guoxu Zhou; Qibin Zhao; Andrzej Cichocki; Xingyu Wang 004 (Neurocomputing, 2016)

Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data. - Guoxu Zhou; Qibin Zhao; Yu Zhang 009; Tülay Adali; Shengli Xie; Andrzej Cichocki (Proc. IEEE, 2016)

Sparse Bayesian Classification of EEG for Brain-Computer Interface. - Yu Zhang 009; Guoxu Zhou; Jing Jin 001; Qibin Zhao; Xingyu Wang 004; Andrzej Cichocki (IEEE Trans. Neural Networks Learn. Syst., 2016)

Bayesian Robust Tensor Factorization for Incomplete Multiway Data. - Qibin Zhao; Guoxu Zhou; Liqing Zhang 001; Andrzej Cichocki; Shun-ichi Amari (IEEE Trans. Neural Networks Learn. Syst., 2016)

Smooth PARAFAC Decomposition for Tensor Completion. - Tatsuya Yokota; Qibin Zhao; Andrzej Cichocki (IEEE Trans. Signal Process., 2016)

Brain image completion by Bayesian tensor decomposition. - Lihua Gui; Qibin Zhao; Jianting Cao (DSP, 2017)

A Graph Theory Analysis on Distinguishing EEG-Based Brain Death and Coma. - Gaochao Cui; Li Zhu 002; Qibin Zhao; Jianting Cao; Andrzej Cichocki (ICONIP (4), 2017)

Completion of High Order Tensor Data with Missing Entries via Tensor-Train Decomposition. - Longhao Yuan; Qibin Zhao; Jianting Cao (ICONIP (1), 2017)

Semi-supervised Regularized Discriminant Analysis for EEG-Based BCI System. - Yuhang Xin; Qiang Wu 009; Qibin Zhao; Qi Wu (IDEAL, 2017)

Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition. - Qiquan Shi; Yiu-ming Cheung; Qibin Zhao (ECML/PKDD (1), 2017)

Learning Efficient Tensor Representations with Ring Structure Networks. - Qibin Zhao; Masashi Sugiyama; Andrzej Cichocki (CoRR, 2017)

Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives. - Andrzej Cichocki; Anh Huy Phan 001; Qibin Zhao; Namgil Lee; Ivan V. Oseledets; Masashi Sugiyama; Danilo P. Mandic (CoRR, 2017)

Tensorizing Generative Adversarial Nets. - Xingwei Cao; Qibin Zhao (CoRR, 2017)

A generative adversarial framework for positive-unlabeled classification. - Ming Hou; Qibin Zhao; Chao Li 013; Brahim Chaib-draa (CoRR, 2017)

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives. - Andrzej Cichocki; Anh Huy Phan 001; Qibin Zhao; Namgil Lee; Ivan V. Oseledets; Masashi Sugiyama; Danilo P. Mandic (Found. Trends Mach. Learn., 2017)

An Effective Tensor Completion Method Based on Multi-linear Tensor Ring Decomposition. - Jinshi Yu; Guoxu Zhou; Qibin Zhao; Kan Xie (APSIPA, 2018)

Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition. - Longhao Yuan; Jianting Cao; Xuyang Zhao; Qiang Wu 009; Qibin Zhao (APSIPA, 2018)

Epileptic Focus Localization Based on iEEG by Using Positive Unlabeled (PU) Learning. - Xuyang Zhao; Toshihisa Tanaka 001; Wanzeng Kong; Qibin Zhao; Jianting Cao; Hidenori Sugano; Noboru Yoshida (APSIPA, 2018)

Task-Independent EEG Identification via Low-Rank Matrix Decomposition. - Xianghao Kong; Wanzeng Kong; Qiaonan Fan; Qibin Zhao; Andrzej Cichocki (BIBM, 2018)

High-Order Tensor Completion for Data Recovery via Sparse Tensor-Train Optimization. - Longhao Yuan; Qibin Zhao; Jianting Cao (ICASSP, 2018)

Detection of Epileptic Foci Based on Interictal iEEG by Using Convolutional Neural Network. - Xuyang Zhao; Qibin Zhao; Toshihisa Tanaka 001; Jianting Cao; Wanzeng Kong; Hidenori Sugano; Noboru Yoshida (DSP, 2018)

Learning Efficient Tensor Representations with Ring Structure Networks. - Qibin Zhao; Masashi Sugiyama; Longhao Yuan; Andrzej Cichocki (ICLR (Workshop), 2018)

Generative Adversarial Positive-Unlabelled Learning. - Ming Hou; Brahim Chaib-draa; Chao Li 013; Qibin Zhao (IJCAI, 2018)

Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach. - Jordi Solé-Casals; Cesar Federico Caiafa; Qibin Zhao; Andrzej Cichocki (Cogn. Comput., 2018)

High-dimension Tensor Completion via Gradient-based Optimization Under Tensor-train Format. - Longhao Yuan; Qibin Zhao; Jianting Cao (CoRR, 2018)

Low-Rank Tensor Decomposition via Multiple Reshaping and Reordering Operations. - Chao Li 013; Mohammad Emtiyaz Khan; Shengli Xie; Qibin Zhao (CoRR, 2018)

Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion. - Longhao Yuan; Chao Li 013; Danilo P. Mandic; Jianting Cao; Qibin Zhao (CoRR, 2018)

Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition. - Longhao Yuan; Jianting Cao; Qiang Wu 009; Qibin Zhao (CoRR, 2018)

AI Neurotechnology for Aging Societies - Task-load and Dementia EEG Digital Biomarker Development Using Information Geometry Machine Learning Methods. - Tomasz M. Rutkowski; Qibin Zhao; Masato S. Abe; Mihoko Otake (CoRR, 2018)

The Dynamic EEG Microstates in Mental Rotation. - Wanzeng Kong; Luyun Wang; Jianhai Zhang; Qibin Zhao; Junfeng Sun (Sensors, 2018)

Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. - Longhao Yuan; Chao Li 013; Danilo P. Mandic; Jianting Cao; Qibin Zhao (AAAI, 2019)

Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization. - Paul Pu Liang; Zhun Liu; Yao-Hung Hubert Tsai; Qibin Zhao; Ruslan Salakhutdinov; Louis-Philippe Morency (ACL (1), 2019)

A One-Dimensional Convolutional Neural Network Model for Automated Localization of Epileptic Foci. - Boning Li; Xuyang Zhao; Qibin Zhao; Toshihisa Tanaka 001; Jianting Cao (APSIPA, 2019)

Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. - Wei He 003; Quanming Yao; Chao Li 013; Naoto Yokoya; Qibin Zhao (CVPR, 2019)

Guaranteed Matrix Completion Under Multiple Linear Transformations. - Chao Li 013; Wei He 003; Longhao Yuan; Zhun Sun; Qibin Zhao (CVPR, 2019)

Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. - Chao Li 013; Zhun Sun; Jinshi Yu; Ming Hou; Qibin Zhao (ICASSP, 2019)

Tensor-ring Nuclear Norm Minimization and Application for Visual : Data Completion. - Jinshi Yu; Chao Li 013; Qibin Zhao; Guoxu Zhao (ICASSP, 2019)

Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction. - Longhao Yuan; Chao Li 013; Jianting Cao; Qibin Zhao (ICASSP, 2019)

Learning Efficient Tensor Representations with Ring-structured Networks. - Qibin Zhao; Masashi Sugiyama; Longhao Yuan; Andrzej Cichocki (ICASSP, 2019)

Localization of Epileptic Foci by Using Convolutional Neural Network Based on iEEG. - Linfeng Sui; Xuyang Zhao; Qibin Zhao; Toshihisa Tanaka 001; Jianting Cao (AIAI, 2019)

Quasi-Brain-Death EEG Diagnosis Based on Tensor Train Decomposition. - Qipeng Chen; Longhao Yuan; Yao Miao; Qibin Zhao; Toshihisa Tanaka 001; Jianting Cao (ISNN (2), 2019)

Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling. - Ming Hou; Jiajia Tang; Jianhai Zhang; Wanzeng Kong; Qibin Zhao (NeurIPS, 2019)

Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm. - Michio Iwata; Longhao Yuan; Qibin Zhao; Yasuo Tabei; Francois Berenger; Ryusuke Sawada; Sayaka Akiyoshi; Momoko Hamano; Yoshihiro Yamanishi (Bioinform., 2019)

Tucker Tensor Layer in Fully Connected Neural Networks. - Giuseppe Giovanni Calvi; Ahmad Moniri; Mahmoud Mahfouz; Zeyang Yu; Qibin Zhao; Danilo P. Mandic (CoRR, 2019)

Tensor-Ring Nuclear Norm Minimization and Application for Visual Data Completion. - Jinshi Yu; Chao Li 013; Qibin Zhao; Guoxu Zhou (CoRR, 2019)

Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior". - Tatsuya Yokota; Hidekata Hontani; Qibin Zhao; Andrzej Cichocki (CoRR, 2019)

Task-free brainprint recognition based on low-rank and sparse decomposition model. - Wanzeng Kong; Xianghao Kong; Qiaonan Fan; Qibin Zhao; Andrzej Cichocki (Int. J. Data Min. Bioinform., 2019)

Editorial to The Special Issue on Tensor Image Processing. - Yipeng Liu; Yuning Yang; Qibin Zhao; Shuchin Aeron (Signal Process. Image Commun., 2019)

High-order tensor completion via gradient-based optimization under tensor train format. - Longhao Yuan; Qibin Zhao; Lihua Gui; Jianting Cao (Signal Process. Image Commun., 2019)

Remote Sensing Image Reconstruction Using Tensor Ring Completion and Total Variation. - Wei He 003; Naoto Yokoya; Longhao Yuan; Qibin Zhao (IEEE Trans. Geosci. Remote. Sens., 2019)

Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization. - Qiquan Shi; Yiu-Ming Cheung; Qibin Zhao; Haiping Lu (IEEE Trans. Neural Networks Learn. Syst., 2019)

Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling. - Chao Li 013; Mohammad Emtiyaz Khan; Zhun Sun; Gang Niu 001; Bo Han 003; Shengli Xie; Qibin Zhao (AAAI, 2020)

Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms. - Andong Wang; Chao Li 013; Zhong Jin; Qibin Zhao (AAAI, 2020)

TPFN: Applying Outer Product Along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data. - Binghua Li; Chao Li 013; Feng Duan; Ning Zheng; Qibin Zhao (ECCV (24), 2020)

Classification of Epileptic IEEG Signals by CNN and Data Augmentation. - Xuyang Zhao; Jordi Solé-Casals; Binghua Li; Zihao Huang 003; Andong Wang; Jianting Cao; Toshihisa Tanaka 001; Qibin Zhao (ICASSP, 2020)

H-OWAN: Multi-distorted Image Restoration with Tensor 1x1 Convolution. - Zihao Huang 003; Chao Li 013; Feng Duan; Qibin Zhao (CoRR, 2020)

Graph Regularized Nonnegative Tensor Ring Decomposition for Multiway Representation Learning. - Yuyuan Yu; Guoxu Zhou; Ning Zheng; Shengli Xie; Qibin Zhao (CoRR, 2020)

Learning from Incomplete Data by Simultaneous Training of Neural Networks and Sparse Coding. - Cesar F. Caiafa; Ziyao Wang; Jordi Solé-Casals; Qibin Zhao (CoRR, 2020)

Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion. - Longhao Yuan; Chao Li 013; Jianting Cao; Qibin Zhao (Mach. Learn., 2020)

Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion. - Yu-Bang Zheng; Ting-Zhu Huang; Xi-Le Zhao; Qibin Zhao; Tai-Xiang Jiang (AAAI, 2021)

CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network. - Jiajia Tang; Kang Li; Xuanyu Jin; Andrzej Cichocki; Qibin Zhao; Wanzeng Kong (ACL/IJCNLP (1), 2021)

Bayesian Latent Factor Model for Higher-order Data. - Zerui Tao; Xuyang Zhao; Toshihisa Tanaka 001; Qibin Zhao (ACML, 2021)

On the Memory Mechanism of Tensor-Power Recurrent Models. - Hejia Qiu; Chao Li 013; Ying Weng; Zhun Sun; Xingyu He; Qibin Zhao (AISTATS, 2021)

Multi-feature Fusion for Epileptic Focus Localization Based on Tensor Representation. - Xuyang Zhao; Jordi Solé-Casals; Qibin Zhao; Jianting Cao; Toshihisa Tanaka 001 (APSIPA ASC, 2021)

Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding. - Cesar F. Caiafa; Ziyao Wang; Jordi Solé-Casals; Qibin Zhao (CVPR Workshops, 2021)

Tensor Decomposition Via Core Tensor Networks. - Jianfu Zhang 003; Zerui Tao; Liqing Zhang 001; Qibin Zhao (ICASSP, 2021)

Hide Chopin in the Music: Efficient Information Steganography Via Random Shuffling. - Zhun Sun; Chao Li 013; Qibin Zhao (ICASSP, 2021)

Tensorial Time Series Prediction via Tensor Neural Ordinary Differential Equations. - Mingyuan Bai; Qibin Zhao; Junbin Gao (IJCNN, 2021)

Multi-distorted Image Restoration with Tensor 1 × 1 Convolutional Layer. - Zihao Huang 003; Chao Li 013; Feng Duan; Qibin Zhao (IJCNN, 2021)

Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation. - Xinhai Zhao; Yuyuan Yu; Guoxu Zhou; Qibin Zhao; Weijun Sun (CoRR, 2021)

Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution. - Tenghui Li; Guoxu Zhou; Yuning Qiu; Qibin Zhao (CoRR, 2021)

Component-mixing strategy: A decomposition-based data augmentation algorithm for motor imagery signals. - Binghua Li; Zhiwen Zhang 004; Feng Duan; Zhenglu Yang; Qibin Zhao; Zhe Sun; Jordi Solé-Casals (Neurocomputing, 2021)

Tensor Recovery via $*_L$-Spectral $k$-Support Norm. - Andong Wang; Guoxu Zhou; Zhong Jin; Qibin Zhao (IEEE J. Sel. Top. Signal Process., 2021)

Guaranteed Robust Tensor Completion via ∗L-SVD with Applications to Remote Sensing Data. - Andong Wang; Guoxu Zhou; Qibin Zhao (Remote. Sens., 2021)

Hierarchical Factorization Strategy for High-Order Tensor and Application to Data Completion. - Zefeng Chen; Guoxu Zhou; Qibin Zhao (IEEE Signal Process. Lett., 2021)

Low Tensor-Ring Rank Completion by Parallel Matrix Factorization. - Jinshi Yu; Guoxu Zhou; Chao Li 013; Qibin Zhao; Shengli Xie (IEEE Trans. Neural Networks Learn. Syst., 2021)

Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization. - Haonan Huang; Yihao Luo; Guoxu Zhou; Qibin Zhao (ICASSP, 2022)

Variational Bayesian Tensor Networks with Structured Posteriors. - Kriton Konstantinidis; Yao Lei Xu; Qibin Zhao; Danilo P. Mandic (ICASSP, 2022)

Permutation Search of Tensor Network Structures via Local Sampling. - Chao Li 013; Junhua Zeng; Zerui Tao; Qibin Zhao (ICML, 2022)

MMT: Multi-way Multi-modal Transformer for Multimodal Learning. - Jiajia Tang; Kang Li; Ming Hou; Xuanyu Jin; Wanzeng Kong; Yu Ding 001; Qibin Zhao (IJCAI, 2022)

Tensor Neural Controlled Differential Equations. - Mingyuan Bai; Jie Chen; Qibin Zhao; Chao Li 013; Junping Zhang; Junbin Gao (IJCNN, 2022)

SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG. - Reinmar J. Kobler; Jun-ichiro Hirayama; Qibin Zhao; Motoaki Kawanabe (NeurIPS, 2022)

Fast hypergraph regularized nonnegative tensor ring decomposition based on low-rank approximation. - Xinhai Zhao; Yuyuan Yu; Guoxu Zhou; Qibin Zhao; Weijun Sun (Appl. Intell., 2022)

Data augmentation for Convolutional LSTM based brain computer interface system. - Kahoko Takahashi; Zhe Sun; Jordi Solé-Casals; Andrzej Cichocki; Anh Huy Phan 001; Qibin Zhao; Hui-Hai Zhao; Shangkun Deng; Ruggero Micheletto (Appl. Soft Comput., 2022)

Multi-view Data Classification with a Label-driven Auto-weighted Strategy. - Yuyuan Yu; Guoxu Zhou; Haonan Huang; Shengli Xie; Qibin Zhao (CoRR, 2022)

Latent Matrices for Tensor Network Decomposition and to Tensor Completion. - Peilin Yang; Weijun Sun; Qibin Zhao; Guoxu Zhou (CoRR, 2022)

Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective. - Tenghui Li; Guoxu Zhou; Yuning Qiu; Qibin Zhao (J. Mach. Learn. Res., 2022)

Tensor Completion via Fully-Connected Tensor Network Decomposition with Regularized Factors. - Yu-Bang Zheng; Ting-Zhu Huang; Xi-Le Zhao; Qibin Zhao (J. Sci. Comput., 2022)

A semi-supervised label-driven auto-weighted strategy for multi-view data classification. - Yuyuan Yu; Guoxu Zhou; Haonan Huang; Shengli Xie; Qibin Zhao (Knowl. Based Syst., 2022)

Imbalanced low-rank tensor completion via latent matrix factorization. - Yuning Qiu; Guoxu Zhou; Junhua Zeng; Qibin Zhao; Shengli Xie (Neural Networks, 2022)

Non-Local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration. - Wei He 003; Quanming Yao; Chao Li 013; Naoto Yokoya; Qibin Zhao; Hongyan Zhang 001; Liangpei Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Hyperspectral super-resolution via coupled tensor ring factorization. - Wei He 003; Yong Chen 013; Naoto Yokoya; Chao Li 013; Qibin Zhao (Pattern Recognit., 2022)

Bayesian Tensor Completion and Decomposition with Automatic CP Rank Determination Using MGP Shrinkage Prior. - Hiromu Takayama; Qibin Zhao; Hidekata Hontani; Tatsuya Yokota (SN Comput. Sci., 2022)

Efficient Tensor Robust PCA Under Hybrid Model of Tucker and Tensor Train. - Yuning Qiu; Guoxu Zhou; Zhenhao Huang; Qibin Zhao; Shengli Xie (IEEE Signal Process. Lett., 2022)

Accommodating Multiple Tasks' Disparities With Distributed Knowledge-Sharing Mechanism. - Xinqi Chen; Guoxu Zhou; Yanjiao Wang; Ming Hou; Qibin Zhao; Shengli Xie (IEEE Trans. Cybern., 2022)

Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior. - Tatsuya Yokota; Hidekata Hontani; Qibin Zhao; Andrzej Cichocki (IEEE Trans. Neural Networks Learn. Syst., 2022)

Memorization Weights for Instance Reweighting in Adversarial Training. - Jianfu Zhang 003; Yan Hong 001; Qibin Zhao (AAAI, 2023)

Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations. - Chao Li; Junhua Zeng; Chunmei Li; Cesar F. Caiafa; Qibin Zhao (ICML, 2023)

Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis. - Zerui Tao; Toshihisa Tanaka 001; Qibin Zhao (ICONIP (1), 2023)

Undirected Probabilistic Model for Tensor Decomposition. - Zerui Tao; Toshihisa Tanaka 001; Qibin Zhao (NeurIPS, 2023)

Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks. - Andong Wang; Chao Li 013; Mingyuan Bai; Zhong Jin; Guoxu Zhou; Qibin Zhao (NeurIPS, 2023)

TT-Net: Tensorized Transformer Network for 3D medical image segmentation. - Jing Wang 215; Aixi Qu; Qing Wang; Qibin Zhao; Ju Liu; Qiang Wu 009 (Comput. Medical Imaging Graph., 2023)

SVDinsTN: An Integrated Method for Tensor Network Representation with Efficient Structure Search. - Yu-Bang Zheng; Xi-Le Zhao; Junhua Zeng; Chao Li 013; Qibin Zhao; Heng-Chao Li 001; Ting-Zhu Huang (CoRR, 2023)

Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion. - Dai Shi; Zhiqi Shao; Yi Guo 001; Qibin Zhao; Junbin Gao (CoRR, 2023)

Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond. - Zhiqi Shao; Dai Shi; Andi Han; Yi Guo 001; Qibin Zhao; Junbin Gao (CoRR, 2023)

Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation. - Hailin Wang; Jiangjun Peng; Xiangyong Cao; Jianjun Wang 003; Qibin Zhao; Deyu Meng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Tree-Based Mix-Order Polynomial Fusion Network for Multimodal Sentiment Analysis. - Jiajia Tang; Ming Hou; Xuanyu Jin; Jianhai Zhang; Qibin Zhao; Wanzeng Kong (Syst., 2023)

BAFN: Bi-Direction Attention Based Fusion Network for Multimodal Sentiment Analysis. - Jiajia Tang; Dongjun Liu; Xuanyu Jin; Yong Peng 001; Qibin Zhao; Yu Ding 001; Wanzeng Kong (IEEE Trans. Circuits Syst. Video Technol., 2023)

Graph-Regularized Non-Negative Tensor-Ring Decomposition for Multiway Representation Learning. - Yuyuan Yu; Guoxu Zhou; Ning Zheng; Yuning Qiu; Shengli Xie; Qibin Zhao (IEEE Trans. Cybern., 2023)

Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation. - Haonan Huang; Guoxu Zhou; Naiyao Liang; Qibin Zhao; Shengli Xie (IEEE CAA J. Autom. Sinica, 2023)

Exclusivity and consistency induced NMF for multi-view representation learning. - Haonan Huang; Guoxu Zhou; Yanghang Zheng; Zuyuan Yang; Qibin Zhao (Knowl. Based Syst., 2023)

Towards Multi-Mode Outlier Robust Tensor Ring Decomposition. - Yuning Qiu; Guoxu Zhou; Andong Wang; Zhenhao Huang; Qibin Zhao (AAAI, 2024)

Efficient Nonparametric Tensor Decomposition for Binary and Count Data. - Zerui Tao; Toshihisa Tanaka 001; Qibin Zhao (AAAI, 2024)

SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective. - Yu-Bang Zheng; Xi-Le Zhao; Junhua Zeng; Chao Li 013; Qibin Zhao; Heng-Chao Li 001; Ting-Zhu Huang (CVPR, 2024)

Hierarchical Attacks on Large-Scale Graph Neural Networks. - Jianfu Zhang 003; Yan Hong 001; Dawei Cheng; Liqing Zhang 001; Qibin Zhao (ICASSP, 2024)

Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization. - Guang Lin 002; Chao Li 013; Jianhai Zhang; Toshihisa Tanaka 001; Qibin Zhao (ICLR, 2024)

Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance. - Mingyuan Bai; Wei Huang; Tenghui Li; Andong Wang; Junbin Gao; Cesar F. Caiafa; Qibin Zhao (ICML, 2024)

Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework. - Haonan Huang; Guoxu Zhou; Yanghang Zheng; Yuning Qiu; Andong Wang; Qibin Zhao (ICML, 2024)

tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs). - Junhua Zeng; Chao Li 013; Zhun Sun; Qibin Zhao; Guoxu Zhou (ICML, 2024)

Jacobian Regularizer-based Neural Granger Causality. - Wanqi Zhou; Shuanghao Bai; Shujian Yu; Qibin Zhao; Badong Chen (ICML, 2024)

Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts. - Andong Wang; Yuning Qiu; Mingyuan Bai; Zhong Jin; Guoxu Zhou; Qibin Zhao (NeurIPS, 2024)

EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge. - Xuyang Zhao; Qibin Zhao; Toshihisa Tanaka 001 (CoRR, 2024)

Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs). - Junhua Zeng; Guoxu Zhou; Chao Li 013; Zhun Sun; Qibin Zhao (CoRR, 2024)

Robust Diffusion Models for Adversarial Purification. - Guang Lin 002; Zerui Tao; Jianhai Zhang; Toshihisa Tanaka 001; Qibin Zhao (CoRR, 2024)

MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification. - Binghua Li; Jie Mao; Zhe Sun; Chao Li 013; Qibin Zhao; Toshihisa Tanaka 001 (CoRR, 2024)

Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective. - Wanqi Zhou; Shuanghao Bai; Qibin Zhao; Badong Chen (CoRR, 2024)

Large Language Model Sentinel: Advancing Adversarial Robustness by LLM Agent. - Guang Lin 002; Qibin Zhao (CoRR, 2024)

Scaling Capability in Token Space: An Analysis of Large Vision Language Model. - Tenghui Li; Guoxu Zhou; Xuyang Zhao; Qibin Zhao (CoRR, 2024)

Semi-supervised multi-view concept decomposition. - Qi Jiang; Guoxu Zhou; Qibin Zhao (Expert Syst. Appl., 2024)

Hyperspectral and Multispectral Image Fusion via Bayesian Nonlocal CP Factorization. - Junhua Zeng; Guoxu Zhou; Yuning Qiu; Yumeng Ma; Qibin Zhao (IEEE Geosci. Remote. Sens. Lett., 2024)

Bayesian tensor network structure search and its application to tensor completion. - Junhua Zeng; Guoxu Zhou; Yuning Qiu; Chao Li 013; Qibin Zhao (Neural Networks, 2024)

Generalized latent multi-view clustering with tensorized bipartite graph. - Dongping Zhang; Haonan Huang; Qibin Zhao; Guoxu Zhou (Neural Networks, 2024)

Visual-Guided Dual-Spatial Interaction Network for Fine-Grained Brain Semantic Decoding. - Jiajia Tang; Yutao Yang; Qibin Zhao; Yu Ding 001; Jianhai Zhang; Yang Song 010; Wanzeng Kong (IEEE Trans. Instrum. Meas., 2024)

Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion. - Dai Shi; Zhiqi Shao; Yi Guo 001; Qibin Zhao; Junbin Gao (Trans. Mach. Learn. Res., 2024)

TendiffPure: a convolutional tensor-train denoising diffusion model for purification. - Mingyuan Bai; Derun Zhou; Qibin Zhao (Frontiers Inf. Technol. Electron. Eng., 2024)

Nonparametric tensor ring decomposition with scalable amortized inference. - Zerui Tao; Toshihisa Tanaka 001; Qibin Zhao (Neural Networks, 2024)

Noisy Tensor Completion via Low-Rank Tensor Ring. - Yuning Qiu; Guoxu Zhou; Qibin Zhao; Shengli Xie (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Novel Tensor Ring Sparsity Measurement for Image Completion. - Junhua Zeng; Yuning Qiu; Yumeng Ma; Andong Wang; Qibin Zhao (Entropy, 2024)

Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization. - Haonan Huang; Guoxu Zhou; Qibin Zhao; Lifang He 001; Shengli Xie (IEEE Trans. Neural Networks Learn. Syst., 2024)

Disentangled Adversarial Generalization Network for Cross-Session Task-Independent Brainprint Recognition. - Xuanyu Jin; Ni Li; Wanzeng Kong; Qibin Zhao; Jiajia Tang; Li Zhu 005; Jianting Cao (IEEE Trans. Cogn. Dev. Syst., 2024)

Towards efficient and accurate approximation: tensor decomposition based on randomized block Krylov iteration. - Yichun Qiu; Weijun Sun; Guoxu Zhou; Qibin Zhao (Signal Image Video Process., 2024)

STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search. - Yuning Qiu; Andong Wang; Chao Li 013; Haonan Huang; Guoxu Zhou; Qibin Zhao (CVPR, 2025)

Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance. - Jin-Liang Xiao; Ting-Zhu Huang; Liang-Jian Deng; Guang Lin 002; Zihan Cao; Chao Li 013; Qibin Zhao (CVPR, 2025)

Towards spatio-temporal representation learning for EEG classification in motor imagery-based BCI system. - Siwei Liu 014; Jia Zhang; Hanrui Wu; Guoxu Zhou; Qibin Zhao; Jinyi Long (Knowl. Based Syst., 2025)

Low-Rank, High-Order Tensor Completion via t- Product-Induced Tucker (tTucker) Decomposition. - Yaodong Li; Jun Tan; Peilin Yang; Guoxu Zhou; Qibin Zhao (Neural Comput., 2025)

Kernel Bayesian tensor ring decomposition for multiway data recovery. - Zhenhao Huang; Guoxu Zhou; Yuning Qiu; Xinqi Chen; Qibin Zhao (Neural Networks, 2025)

Adversarial guided diffusion models for adversarial purification. - Guang Lin 002; Zerui Tao; Jianhai Zhang; Toshihisa Tanaka 001; Qibin Zhao (Neural Networks, 2025)

Tensor ring rank determination using odd-dimensional unfolding. - Yichun Qiu; Guoxu Zhou; Chao Li 013; Danilo P. Mandic; Qibin Zhao (Neural Networks, 2025)

Unifying complete and incomplete multi-view clustering through an information-theoretic generative model. - Yanghang Zheng; Guoxu Zhou; Haonan Huang; Xintao Luo; Zhenhao Huang; Qibin Zhao (Neural Networks, 2025)

Tensor network decomposition for data recovery: Recent advancements and future prospects. - Yu-Bang Zheng; Xi-Le Zhao; Heng-Chao Li 001; Chao Li 013; Ting-Zhu Huang; Qibin Zhao (Neural Networks, 2025)

An information-theoretic approach for heterogeneous differentiable causal discovery. - Wanqi Zhou; Shuanghao Bai; Yuqing Xie 002; Yicong He; Qibin Zhao; Badong Chen (Neural Networks, 2025)

Gradient aware adaptive quantization: Locally uniform quantization with learnable clipping thresholds for globally non-uniform weights. - Kang Zhou; Yuning Qiu; Yuhang Li; Qibin Zhao; Guoxu Zhou (Neural Networks, 2025)

Defending adversarial attacks in Graph Neural Networks via tensor enhancement. - Jianfu Zhang 003; Yan Hong 001; Dawei Cheng; Liqing Zhang 001; Qibin Zhao (Pattern Recognit., 2025)

Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models. - Zerui Tao; Yuhta Takida; Naoki Murata; Qibin Zhao; Yuki Mitsufuji (CoRR, 2025)

Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation. - Guang Lin 002; Duc Thien Nguyen; Zerui Tao; Konstantinos Slavakis; Toshihisa Tanaka 001; Qibin Zhao (CoRR, 2025)

Consistency and Diversity Induced Tensorized Multi-View Subspace Clustering. - Chunming Xiao; Yonghui Huang; Haonan Huang; Qibin Zhao; Guoxu Zhou (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Tensor Robust Kernel PCA for Multidimensional Data. - Jie Lin; Ting-Zhu Huang; Xi-Le Zhao; Teng-Yu Ji; Qibin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Fractional Tensor Recurrent Unit (fTRU): A Stable Forecasting Model With Long Memory. - Hejia Qiu; Chao Li 013; Ying Weng; Zhun Sun; Qibin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Balanced Unfolding Induced Tensor Nuclear Norms for High-Order Tensor Completion. - Yuning Qiu; Guoxu Zhou; Andong Wang; Qibin Zhao; Shengli Xie (IEEE Trans. Neural Networks Learn. Syst., 2025)

Domain-Aware Tensor Network Structure Search. - Giorgos Iacovides; Wuyang Zhou; Chao Li 013; Qibin Zhao; Danilo P. Mandic (CoRR, 2025)

NeuronSeek: On Stability and Expressivity of Task-driven Neurons. - Hanyu Pei; Jing-Xiao Liao; Qibin Zhao; Ting Gao; Shijun Zhang; Xiaoge Zhang 001; Feng-Lei Fan (CoRR, 2025)

Fine-grained Semantic Disentanglement Network for Multimodal Sarcasm Analysis. - Jiajia Tang; Binbin Ni; Feiwei Zhou; Dongjun Liu; Yu Ding 001; Yong Peng 001; Andrzej Cichocki; Qibin Zhao; Wanzeng Kong (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Spontaneous Spatial Cognition Emerges during Egocentric Video Viewing through Non-invasive BCI. - Weichen Dai 001; Yuxuan Huang; Li Zhu 005; Dongjun Liu; Yu Zhang 009; Qibin Zhao; Andrzej Cichocki; Fabio Babiloni; Ke Li; Jianyu Qiu; Gangyong Jia; Wanzeng Kong; et al. (CoRR, 2025)

Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks. - Binghua Li; Ziqing Chang; Tong Liang; Chao Li; Toshihisa Tanaka; Shigeki Aoki; Qibin Zhao; Zhe Sun (CoRR, 2025)

Neural Bridge Processes. - Jian Xu 021; Yican Liu; Qibin Zhao; John Paisley; Delu Zeng (CoRR, 2025)