Tensor Decomposition Based Memory-Efficient Incremental Learning Y. Li, G. Zhou, Z. Huang, X. Chen, Y. Qiu, and Q. Zhao C
International Conference on Machine Learning (ICML), 2025
Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression A. Wang, Y. Qiu, Z. Jin, G. Zhou, and Q. Zhao C
International Conference on Machine Learning (ICML), 2025
Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance J. Xiao, T. Huang, L. Deng, G. Lin, Z. Cao, C. Li and Q. Zhao C
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search Y. Qiu, A. Wang, C. Li, H. Huang, G. Zhou and Q. Zhao C
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
2024
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts A. Wang, Y. Qiu, M. Bai, Z. Jin, G. Zhou and Q. Zhao C
Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS), 2024
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs) J. Zeng, C. Li, Z. Sun, Q. Zhao, G. Zhou C
International Conference on Machine Learning (ICML), 2024
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance M. Bai*, W. Huang*, T. Li*, A. Wang, J. Gao, C. F. Caiafa, and Q. Zhao C
International Conference on Machine Learning (ICML), 2024
Jacobian Regularizer-based Neural Granger Causality W. Zhou, S. Bai, S. Yu, Q. Zhao and B. Chen C
International Conference on Machine Learning (ICML), 2024
Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework H. Huang, G. Zhou, Y. Zheng, Y. Qiu, A. Wang and Q. Zhao C
International Conference on Machine Learning (ICML), 2024
SVDinsTN: A tensor network paradigm for efficient structure search from regularized modeling perspective Y. Zheng, X. Zhao, J. Zeng, C. Li, Q. Zhao, H. Li, and T. Huang C
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
Adversarial training on purification (AToP): Advancing both robustness and generalization G. Lin, C. Li, J. Zhang, T. Tanaka, and Q. Zhao C
International Conference on Learning Representations (ICLR), 2024
Deep geodesic canonical correlation analysis for covariance-based neuroimaging data C. Ju, R. J. Kobler, L. Tang, C. Guan, and M. Kawanabe C
International Conference on Learning Representations (ICLR), 2024
Towards multi-mode outlier robust tensor ring decomposition Y. Qiu, G. Zhou, A. Wang, Z. Huang, and Q. Zhao C
AAAI Conference on Artificial Intelligence (AAAI), 2024
Efficient nonparametric tensor decomposition for binary and count data Z. Tao, T. Tanaka, and Q. Zhao C
AAAI Conference on Artificial Intelligence (AAAI), 2024
Prompt-based distribution alignment for unsupervised domain adaptation S. Bai, M. Zhang, W. Zhou, S. Huang, Z. Luan, D. Wang, and B. Chen C
AAAI Conference on Artificial Intelligence (AAAI), 2024
Nonparametric tensor ring decomposition with scalable amortized inference Z. Tao, T. Tanaka, and Q. Zhao J
Neural Networks, 2024
Tensor robust kernel pca for multi-dimensional data J. Lin, T.-Z. Huang, X.-L. Zhao, T.-Y. Ji, and Q. Zhao J
IEEE Transactions on Neural Networks and Learning Systems, 2024
Balanced unfolding induced tensor nuclear norms for high-order tensor completion Y. Qiu, G. Zhou, A. Wang, Q. Zhao, and S. Xie J
IEEE Transactions on Neural Networks and Learning Systems, 2024
2023
Transformed low-rank parameterization can help robust generalization for tensor neural networks A. Wang, C. Li, M. Bai, Z. Jin, G. Zhou, and Q. Zhao C
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023
Undirected Probabilistic Model for Tensor Decomposition Z. Tao, T. Tanaka, and Q. Zhao C
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023
Alternating local enumeration (tnale): Solving tensor network structure search with fewer evaluations C. Li, J. Zeng, C. Li, C. F. Caiafa, Q. Zhao C
International Conference on Machine Learning (ICML), 2023
Memorization weights for instance reweighting in adversarial training J. Zhang, Y. Hong, and Q. Zhao C
AAAI Conference on Artificial Intelligence (AAAI), 2023
Fractional tensor recurrent unit (ftru): A stable forecasting model with long memory H. Qiu, C. Li, Y. Weng, Z. Sun, and Q. Zhao J
IEEE Transactions on Neural Networks and Learning Systems, 2023
Comprehensive multiview representation learning via deep autoencoder-like nonnegative matrix factorization H. Huang, G. Zhou, Q. Zhao, L. He, and S. Xie J
IEEE Transactions on Neural Networks and Learning Systems, 2023
2022
Spd domain-specific batch normalization to crack interpretable unsupervised domain adaptation in eeg R. J. Kobler, J.-i. Hirayama, Q. Zhao, and M. Kawanabe C
Conference on Neural Information Processing Systems (NeurIPS), 2022
Shadow generation for composite image in real-world scenes Y. Hong, L. Niu, and J. Zhang C
AAAI Conference on Artificial Intelligence (AAAI), 2022
Permutation search of tensor network structures via local sampling C. Li, J. Zeng, Z. Tao, and Q. Zhao C
International Conference on Machine Learning (ICML), 2022
Mmt: Multi-way multi-modal transformer for multimodal learning J. Tang, K. Li, M. Hou, X. jin, W. Kong, Y. Ding, and Q. Zhao C
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Dual-path image inpainting with auxiliary GAN inversion W. Wang, L. Niu, J. Zhang, X. Yang, and L. Zhang C
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Fast algorithm for low-rank tensor completion in delay-embedded space R. Yamamoto, H. Hontani, A. Imakura, and T. Yokota C
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Non-local meets global: An iterative paradigm for hyperspectral image restoration W. He, Q. Yao, C. Li, N. Yokoya, Q. Zhao, H. Zhang, and L. Zhang J
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Toward understanding convolutional neural networks from volterra convolution perspective T. Li, G. Zhou, Y. Qiu, and Q. Zhao J
Journal of Machine Learning Research (JMLR)
Imbalanced low-rank tensor completion via latent matrix factorization Y. Qiu, G. Zhou, J. Zeng, Q. Zhao, and S. Xie J
Neural Networks
Noisy tensor completion via low-rank tensor ring Y. Qiu, G. Zhou, Q. Zhao, and S. Xie J
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Manifold modeling in embedded space: An interpretable alternative to deep image prior T. Yokota, H. Hontani, Q. Zhao, and A. Cichocki J
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
2021
Bayesian Latent Factor Model for Higher-order Data Z. Tao, X. Zhao, T. Tanaka, Q. Zhao C
Asian Conference on Machine Learning (ACML), 2021
Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding C. F. Caiafa, Z. Wang, J. Sole-Casals, Q. Zhao C
Workshop on Conference on Computer Vision and Pattern Recognition (CVPR), 2021
On the Memory Mechanism of Tensor-Power Recurrent Models H. Qiu, C. Li, Y. Weng, Z. Sun, X. He, Q. Zhao C
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion Y. Zheng, T. Huang, X. Zhao, Q. Zhao, T. Jiang C
AAAI Conference on Artificial Intelligence (AAAI), 2021
2020
TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data B. Li, C. Li, F. Duan, N. Zheng, Q. Zhao C
European Conference on Computer Vision (ECCV), 2020
Evolutionary Topology Search for Tensor Network Decomposition C. Li, Z. Sun C
International Conference on Machine Learning (ICML), 2020
Beyond unfolding: Exact recovery of latent convex tensor decomposition under reshuffling C. Li, M. E. Khan, Z. Sun, G. Niu, B. Han, S. Xie, Q. Zhao C
AAAI Conference on Artificial Intelligence (AAAI), 2020
Robust tensor decomposition via orientation invariant tubal nuclear norms A. Wang, C. Li, Z. Jin, Q. Zhao C
AAAI Conference on Artificial Intelligence (AAAI), 2020
2019
Dynamic pet image reconstruction using nonnegative matrix factorization incorporated with deep image prior T. Yokota, K. Kawai, M. Sakata, Y. Kimura, H. Hontani C
International Conference on Computer Vision (ICCV), 2019
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization P. Liang, Z. Liu, Y. Tsai, Q. Zhao, R. Salakhutdinov, L. Morency C
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Guaranteed Matrix Completion Under Multiple Linear Transformations C. Li, W. He, L. Yuan, Z. Sun, Q. Zhao C
The Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising W. He, Q. Yao, C. Li, N. Yokoya, Q. Zhao C
The Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Learning Efficient Tensor Representations with Ring-structured Networks Q. Zhao, M. Sugiyama, L. Yuan, A, Cichocki C
The International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2019
Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling C. Li, Z. Sun, J. Yu, M. Hou, Q. Zhao C
The International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2019
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction L. Yuan, C. Li, J. Cao, Q. Zhao C
The International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2019
Total-variation-regularized Tensor Ring Completion for Remote Sensing Image Reconstruction W. He, L. Yuan, N. Yokoya C
The International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2019
Deep multimodal multilinear fusion with high-order polynomial pooling M. Hou, J. Tang, J. Zhang, W. Kong, Q. Zhao C
Conference on Neural Information Processing Systems (NeurIPS), 2019
Tensor ring decomposition with rank minimization on latent space: An efficient approach for tensor completion L. Yuan, C. Li, M. Danilo, J. Cao, Q. Zhao C
AAAI Conference on Artificial Intelligence (AAAI), 2019
Remote sensing image reconstruction using tensor ring completion and total variation W. He, N. Yokoya, L. Yuan, Q. Zhao J
IEEE Transactions on Geoscience and Remote Sensing
2018
Tensorizing generative adversarial nets X. Cao, X. Zhao, Q. Zhao C
International Conference On Consumer Electronics (ICCE), 2018
Generative adversarial positive-unlabeled learning M. Hou, B. Chaib-draa, C. Li, Q. Zhao C
The International Joint Conference on Artificial Intelligence (IJCAI), 2018
AI neurotechnology for aging societies–task-load and dementia EEG digital biomarker development using information geometry machine learning methods T. M. Rutkowski, Q. Zhao, M. S. Abe, M. Otake C
NeurIPS Workshop, 2018
High-order tensor completion for data recovery via sparse tensor-train optimization L. Yuan, Q. Zhao, J. Cao C
The International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2018
Detection of epileptic foci based on interictal iEEG by using convolutional neural network X. Zhao, Q. Zhao, T. Tanaka, J. Cao, W. Kong, H. Sugano, N. Yoshida C
International Conference on Digital Signal Processing (DSP), 2018
Feature extraction for incomplete data via low-rank tensor decomposition with feature regularization Q. Shi, Y. Cheung, Q. Zhao, H. Lu J
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
High-order tensor completion via gradient-based optimization under tensor train format L. Yuan, Q. Zhao, L. Gui, J. Cao J
Signal Processing: Image Communication
2017
Feature extraction for incomplete data via low-rank Tucker decomposition Q. Shi, Y. Cheung, and Q. Zhao C
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), 2017
2016
Tensor Ring Decomposition Q. Zhao, G. Zhou, S. Xie, L. Zhang, A. Cichocki J
arXiv preprint arXiv:1606.05535, 2016
Books
Tensor networks for dimensionality reduction and large-scale optimization: Part 2 applications and future perspectives A. Cichocki, A. Phan, Q. Zhao, N. Lee, I. Oseledets, M. Sugiyama, D. P. Mandic et al B Foundations and Trends in Machine Learning
Tensor networks for dimensionality reduction and large-scale optimization: Part 1 low-rank tensor decompositions A. Cichocki, N. Lee, I. Oseledets, A. Phan, Q. Zhao, D. P. Mandic et al B Foundations and Trends in Machine Learning