Zhao, Qibin
- Tensor Ring Decomposition
2016/06/17 by Qibin Zhao, Guoxu Zhou, Zhao, Qibin +7 · 24 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
- Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration
2020/10/24 by Wei He, Quanming Yao, He, Wei +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
- 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
- Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion
2018/09/07 by Longhao Yuan, Yuan, Longhao, Chao Li +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
- 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
- Learning Representations from Imperfect Time Series Data via Tensor Rank\n Regularization
2019/07/01 by Paul Pu Liang, Zhun Liu, Liang, Paul Pu +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
- Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective
2024/04/30 by Wanqi Zhou, Shuanghao Bai, Zhou, Wanqi +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
- Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization
2020/01/06 by He, Wei, Chen, Yong, Yokoya, Naoto +2 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations
2023/04/25 by Li, Chao, Zeng, Junhua, Li, Chunmei +2 · 3 citations
#Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective
2023/05/24 by Zheng, Yu-Bang, Zhao, Xi-Le, Zeng, Junhua +4 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks
2023/03/01 by Wang, Andong, Li, Chao, Bai, Mingyuan +3 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Large Language Model Sentinel: LLM Agent for Adversarial Purification
2024/05/24 by Lin, Guang, Tanaka, Toshihisa, Zhao, Qibin · 3 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
- Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion
2015/05/10 by Qibin Zhao, Liqing Zhang, Zhao, Qibin +3 · 1 citation
Computer Science · Engineering · Mathematics · #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications
- Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond
2023/09/06 by Zhiqi Shao, Dai Shi, Shao, Zhiqi +9 · 2 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG)
- High-dimension Tensor Completion via Gradient-based Optimization Under Tensor-train Format
2018/04/05 by Yuan, Longhao, Zhao, Qibin, Gui, Lihua +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
- 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
- Compression and Interpretability of Deep Neural Networks via Tucker Tensor Layer: From First Principles to Tensor Valued Back-Propagation
2019/03/14 by Calvi, Giuseppe G., Moniri, Ahmad, Mahfouz, Mahmoud +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
- 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
- Jacobian Regularizer-based Neural Granger Causality
2024/05/14 by Wanqi Zhou, Zhou, Wanqi, Shuanghao Bai +7 · 2 citations
Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- Permutation Search of Tensor Network Structures via Local Sampling
2022/06/14 by Chao Li, Junhua Zeng, Li, Chao +5 · 1 citation
Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Tensor decomposition and applications
- Noisy Tensor Completion via Low-rank Tensor Ring
2022/03/14 by Qiu, Yuning, Zhou, Guoxu, Zhao, Qibin +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration
2022/11/27 by Qiu, Yichun, Sun, Weijun, Zhou, Guoxu +1 · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
- DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding
2025/09/28 by Li, Guanghao, Fu, Zhihui, Fang, Min +4 · 5 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Efficient Nonparametric Tensor Decomposition for Binary and Count Data
2024/01/15 by Tao, Zerui, Tanaka, Toshihisa, Zhao, Qibin · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
2024/02/04 by Zeng, Junhua, Li, Chao, Sun, Zhun +2 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Adversarial Guided Diffusion Models for Adversarial Purification
2024/03/24 by Guang Lin, Zerui Tao, Lin, Guang +7 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models
2025/01/15 by Tao, Zerui, Takida, Yuhta, Murata, Naoki +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Efficient Low Rank Attention for Long-Context Inference in Large Language Models
2025/10/25 by Li, Tenghui, Zhou, Guoxu, Zhao, Xuyang +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- 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