Qibin Zhao
Orcid: 0000-0002-4442-3182
According to our database1,
Qibin Zhao
authored at least 180 papers
between 2006 and 2024.
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Neural Networks, January, 2024
TendiffPure: a convolutional tensor-train denoising diffusion model for purification.
Frontiers Inf. Technol. Electron. Eng., January, 2024
IEEE Geosci. Remote. Sens. Lett., 2024
Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs).
CoRR, 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization.
CoRR, 2024
EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Knowl. Based Syst., December, 2023
Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation.
IEEE CAA J. Autom. Sinica, November, 2023
Graph-Regularized Non-Negative Tensor-Ring Decomposition for Multiway Representation Learning.
IEEE Trans. Cybern., May, 2023
IEEE Trans. Circuits Syst. Video Technol., April, 2023
Syst., 2023
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond.
CoRR, 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion.
CoRR, 2023
SVDinsTN: An Integrated Method for Tensor Network Representation with Efficient Structure Search.
CoRR, 2023
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks.
CoRR, 2023
Comput. Medical Imaging Graph., 2023
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior.
IEEE Trans. Neural Networks Learn. Syst., 2022
Accommodating Multiple Tasks' Disparities With Distributed Knowledge-Sharing Mechanism.
IEEE Trans. Cybern., 2022
IEEE Signal Process. Lett., 2022
Bayesian Tensor Completion and Decomposition with Automatic CP Rank Determination Using MGP Shrinkage Prior.
SN Comput. Sci., 2022
Pattern Recognit., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Neural Networks, 2022
A semi-supervised label-driven auto-weighted strategy for multi-view data classification.
Knowl. Based Syst., 2022
Tensor Completion via Fully-Connected Tensor Network Decomposition with Regularized Factors.
J. Sci. Comput., 2022
Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective.
J. Mach. Learn. Res., 2022
Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Appl. Soft Comput., 2022
Fast hypergraph regularized nonnegative tensor ring decomposition based on low-rank approximation.
Appl. Intell., 2022
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Hierarchical Factorization Strategy for High-Order Tensor and Application to Data Completion.
IEEE Signal Process. Lett., 2021
Guaranteed Robust Tensor Completion via ∗L-SVD with Applications to Remote Sensing Data.
Remote. Sens., 2021
IEEE J. Sel. Top. Signal Process., 2021
Component-mixing strategy: A decomposition-based data augmentation algorithm for motor imagery signals.
Neurocomputing, 2021
Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution.
CoRR, 2021
Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation.
CoRR, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Multi-feature Fusion for Epileptic Focus Localization Based on Tensor Representation.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the Asian Conference on Machine Learning, 2021
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion.
Mach. Learn., 2020
Learning from Incomplete Data by Simultaneous Training of Neural Networks and Sparse Coding.
CoRR, 2020
Graph Regularized Nonnegative Tensor Ring Decomposition for Multiway Representation Learning.
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
TPFN: Applying Outer Product Along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data.
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization.
IEEE Trans. Neural Networks Learn. Syst., 2019
Remote Sensing Image Reconstruction Using Tensor Ring Completion and Total Variation.
IEEE Trans. Geosci. Remote. Sens., 2019
High-order tensor completion via gradient-based optimization under tensor train format.
Signal Process. Image Commun., 2019
Signal Process. Image Commun., 2019
Int. J. Data Min. Bioinform., 2019
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior".
CoRR, 2019
CoRR, 2019
Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm.
Bioinform., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Proceedings of the Artificial Intelligence Applications and Innovations, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
A One-Dimensional Convolutional Neural Network Model for Automated Localization of Epileptic Foci.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
AI Neurotechnology for Aging Societies - Task-load and Dementia EEG Digital Biomarker Development Using Information Geometry Machine Learning Methods.
CoRR, 2018
CoRR, 2018
Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion.
CoRR, 2018
CoRR, 2018
High-dimension Tensor Completion via Gradient-based Optimization Under Tensor-train Format.
CoRR, 2018
Cogn. Comput., 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Detection of Epileptic Foci Based on Interictal iEEG by Using Convolutional Neural Network.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Epileptic Focus Localization Based on iEEG by Using Positive Unlabeled (PU) Learning.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
An Effective Tensor Completion Method Based on Multi-linear Tensor Ring Decomposition.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
2017
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives.
Found. Trends Mach. Learn., 2017
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives.
CoRR, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017
Completion of High Order Tensor Data with Missing Entries via Tensor-Train Decomposition.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017
2016
IEEE Trans. Signal Process., 2016
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Neural Networks Learn. Syst., 2016
Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data.
Proc. IEEE, 2016
Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation.
Neurocomputing, 2016
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions.
Found. Trends Mach. Learn., 2016
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1.
CoRR, 2016
Exploiting ongoing EEG with multilinear partial least squares during free-listening to music.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Dynamic MEMD Associated with Approximate Entropy in Patients' Consciousness Evaluation.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the Ninth International Conference on Machine Vision, 2016
Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Higher-Order Correlation Coefficient Analysis for EEG-Based Brain-Computer Interface.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016
Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
IEEE Trans. Image Process., 2015
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis.
IEEE Signal Process. Mag., 2015
IEEE Trans. Pattern Anal. Mach. Intell., 2015
Int. J. Neural Syst., 2015
CoRR, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Multilinear and nonlinear generalizations of partial least squares: an overview of recent advances.
WIREs Data Mining Knowl. Discov., 2014
IEEE Signal Process. Mag., 2014
Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface.
Int. J. Neural Syst., 2014
Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials.
Int. J. Neural Syst., 2014
Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014
Tensor-variate Gaussian processes regression and its application to video surveillance.
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014
2013
Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data.
IEEE Signal Process. Mag., 2013
Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Int. J. Neural Syst., 2013
Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG.
Int. J. Neural Syst., 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013
A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2012
IEEE Trans. Biomed. Eng., 2012
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., 2012
Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method
CoRR, 2012
Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization.
Proceedings of the 20th European Signal Processing Conference, 2012
Proceedings of the Eighth International Conference on Computational Intelligence and Security, 2012
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012
2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs.
Proceedings of the Neural Information Processing - 18th International Conference, 2011
2010
Mind Flipper: An EEG-Based Brain Computer Interface for Page-Turning During Presentation.
Aust. J. Intell. Inf. Process. Syst., 2010
A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials.
Proceedings of the Neural Information Processing. Models and Applications, 2010
2009
Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains.
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
Comput. Intell. Neurosci., 2007
2006
Two-Stage Temporally Correlated Source Extraction Algorithm with Its Application in Extraction of Event-Related Potentials.
Proceedings of the Neural Information Processing, 13th International Conference, 2006