Qibin Zhao

1. Tensor Ring Decomposition
   2016/06/17 by Qibin Zhao, Guoxu Zhou, Zhao, Qibin +7 · 17 citations
   Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Numerical Analysis (math.NA) #Tensor decomposition and applications
2. Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration
   2020/10/24 by Wei He, He, Wei, Quanming Yao +11 · 7 citations
   Computer Science · Engineering · #Advanced Image Fusion Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Sparse and Compressive Sensing Techniques #electronic engineering #information engineering
3. Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising
   2018/12/11 by Wei He, He, Wei, Quanming Yao +7 · 5 citations
   Computer Science · Engineering · #Image and Signal Denoising Methods #Sparse and Compressive Sensing Techniques #Advanced Image Fusion Techniques
4. Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion
   2018/09/07 by Longhao Yuan, Chao Li, Yuan, Longhao +7 · 4 citations
   Engineering · Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications
5. SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
   2022/06/02 by Reinmar J. Kobler, Jun-ichiro Hirayama, Kobler, Reinmar J +5 · 5 citations
   Computer Science · Medicine · Neuroscience · #Domain Adaptation and Few-Shot Learning #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #I.5.1 #I.5.4 #J.3 #Machine Learning (cs.LG) #Neonatal and fetal brain pathology #Signal Processing (eess.SP) #electronic engineering #information engineering
6. Learning Representations from Imperfect Time Series Data via Tensor Rank\n Regularization
   2019/07/01 by Paul Pu Liang, Liang, Paul Pu, Zhun Liu +9 · 4 citations
   Computer Science · Mathematics · #Computation and Language (cs.CL) #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Tensor decomposition and applications #Topic Modeling
7. Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective
   2024/04/30 by Wanqi Zhou, Zhou, Wanqi, Shuanghao Bai +6 · 7 citations
   Computer Science · Psychology · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Language, Metaphor, and Cognition #Natural Language Processing Techniques
8. Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond
   2023/09/06 by Zhiqi Shao, Shao, Zhiqi, Dai Shi +9 · 2 citations
   Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition under Reshuffling
   2018/05/22 by Chao Li, Li, Chao, Mohammad Emtiyaz Khan +11 · 1 citation
   Mathematics · Engineering · Medicine · #Tensor decomposition and applications #Sparse and Compressive Sensing Techniques #Advanced Neuroimaging Techniques and Applications
10. Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
    2024/01/29 by Guang Lin, Chao Li, Lin, Guang +7 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
11. Permutation Search of Tensor Network Structures via Local Sampling
    2022/06/14 by Chao Li, Li, Chao, Junhua Zeng +5 · 1 citation
    Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Tensor decomposition and applications
12. Jacobian Regularizer-based Neural Granger Causality
    2024/05/14 by Wanqi Zhou, Zhou, Wanqi, Shuanghao Bai +7 · 1 citation
    Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
13. Tensor Star Tensor Decomposition and Its Applications to Higher-order Compression and Completion
    2024/03/15 by Wuyang Zhou, Yu‐Bang Zheng, Zhou, Wuyang +5 · 1 citation
    Computer Science · #Computational Physics and Python Applications #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Signal Processing (eess.SP) #electronic engineering #information engineering