Zhao, Qibin

45 publications

NeurIPS 2025 Efficient Low Rank Attention for Long-Context Inference in Large Language Models Li Tenghui, Guoxu Zhou, Xuyang Zhao, Yuning Qiu, 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, Zihan Cao, Chao Li, Qibin Zhao

ICML 2025 Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression Andong Wang, Yuning Qiu, Zhong Jin, Guoxu Zhou, Qibin Zhao

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

JMLR 2025 Scaling Capability in Token Space: An Analysis of Large Vision Language Model Tenghui Li, Guoxu Zhou, Xuyang Zhao, Qibin Zhao

ICML 2025 Tensor Decomposition Based Memory-Efficient Incremental Learning Yuhang Li, Guoxu Zhou, Zhenhao Huang, Xinqi Chen, Yuning Qiu, Qibin Zhao

NeurIPS 2025 Towards a Geometric Understanding of Tensor Learning via the T-Product Andong Wang, Yuning Qiu, Haonan Huang, Zhong Jin, Guoxu Zhou, Qibin Zhao

ICCV 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

ICLR 2024 Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka, 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 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

AAAI 2024 Efficient Nonparametric Tensor Decomposition for Binary and Count Data Zerui Tao, Toshihisa Tanaka, Qibin Zhao

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

ICML 2024 Jacobian Regularizer-Based Neural Granger Causality Wanqi Zhou, Shuanghao Bai, Shujian Yu, Qibin Zhao, Badong Chen

TMLR 2024 Revisiting Generalized P-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao

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

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

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

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

AAAI 2023 Memorization Weights for Instance Reweighting in Adversarial Training Jianfu Zhang, Yan Hong, Qibin Zhao

ICMLW 2023 Tendiffpure: Tensorizing Diffusion Models for Purification Derun Zhou, Mingyuan Bai, Qibin Zhao

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

NeurIPS 2023 Undirected Probabilistic Model for Tensor Decomposition Zerui Tao, Toshihisa Tanaka, Qibin Zhao

IJCAI 2022 MMT: Multi-Way Multi-Modal Transformer for Multimodal Learning Jiajia Tang, Kang Li, Ming Hou, Xuanyu Jin, Wanzeng Kong, Yu Ding, Qibin Zhao

ICML 2022 Permutation Search of Tensor Network Structures via Local Sampling Chao Li, Junhua Zeng, Zerui Tao, Qibin Zhao

NeurIPS 2022 SPD Domain-Specific Batch Normalization to Crack Interpretable Unsupervised Domain Adaptation in EEG Reinmar Kobler, Jun-ichiro Hirayama, Qibin Zhao, Motoaki Kawanabe

JMLR 2022 Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective Tenghui Li, Guoxu Zhou, Yuning Qiu, Qibin Zhao

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

ACML 2021 Bayesian Latent Factor Model for Higher-Order Data Zerui Tao, Xuyang Zhao, Toshihisa Tanaka, Qibin Zhao

AAAI 2021 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

CVPRW 2021 Learning from Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding Cesar F. Caiafa, Ziyao Wang, Jordi Solé-Casals, Qibin Zhao

AAAI 2020 Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling Chao Li, Mohammad Emtiyaz Khan, Zhun Sun, Gang Niu, Bo Han, Shengli Xie, Qibin Zhao

MLJ 2020 Rank Minimization on Tensor Ring: An Efficient Approach for Tensor Decomposition and Completion Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao

AAAI 2020 Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms Andong Wang, Chao Li, Zhong Jin, Qibin Zhao

ECCV 2020 TPFN: Applying Outer Product Along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data Binghua Li, Chao Li, Feng Duan, Ning Zheng, Qibin Zhao

NeurIPS 2019 Deep Multimodal Multilinear Fusion with High-Order Polynomial Pooling Ming Hou, Jiajia Tang, Jianhai Zhang, Wanzeng Kong, Qibin Zhao

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

IJCAI 2018 Generative Adversarial Positive-Unlabelled Learning Ming Hou, Brahim Chaib-draa, Chao Li, Qibin Zhao

ECML-PKDD 2017 Feature Extraction for Incomplete Data via Low-Rank Tucker Decomposition Qiquan Shi, Yiu-ming Cheung, Qibin Zhao

FnTML 2017 Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 2 Applications and Future Perspectives Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic

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

FnTML 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, Qibin Zhao, Danilo P. Mandic

AAAI 2015 Multi-Tensor Completion with Common Structures Chao Li, Qibin Zhao, Junhua Li, Andrzej Cichocki, Lili Guo

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

NeurIPS 2011 Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-bonhage, Andrzej S. Cichocki