| 2026 | ACL | DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding. | Guanghao Li, Zhihui Fu, Min Fang, Qibin Zhao, Ming Tang, Chun Yuan, Jun Wang |
| 2026 | ICAART | Adversarial Robustness of Quantum-Enhanced Graph Attention Networks. | Yaswitha Gujju, Romain Harang, Tetsuo Shibuya, Qibin Zhao |
| 2025 | CVPR | STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search. | Yuning Qiu, Andong Wang, Chao Li, Haonan Huang, Guoxu Zhou, Qibin Zhao |
| 2025 | CVPR | 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 |
| 2025 | GLOBECOM | Distance-Aware Secure Federated Learning against Model Theft and Heterogeneous Data for Communication and Information Systems. | Jinhua Chen, Yuning Qiu, Shilong Zhang, Tong Liu, Qibin Zhao, Chinmay Chakraborty, Keping Yu |
| 2025 | ICCV | 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 |
| 2025 | ICML | Tensor Decomposition Based Memory-Efficient Incremental Learning. | Yuhang Li, Guoxu Zhou, Zhenhao Huang, Xinqi Chen, Yuning Qiu, Qibin Zhao |
| 2025 | ICML | Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression. | Andong Wang, Yuning Qiu, Zhong Jin, Guoxu Zhou, Qibin Zhao |
| 2025 | MICCAI | Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks. | Binghua Li, Ziqing Chang, Tong Liang, Chao Li, Toshihisa Tanaka, Shigeki Aoki, Qibin Zhao, Zhe Sun |
| 2024 | AAAI | Towards Multi-Mode Outlier Robust Tensor Ring Decomposition. | Yuning Qiu, Guoxu Zhou, Andong Wang, Zhenhao Huang, Qibin Zhao |
| 2024 | AAAI | Efficient Nonparametric Tensor Decomposition for Binary and Count Data. | Zerui Tao, Toshihisa Tanaka, Qibin Zhao |
| 2024 | CVPR | 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 |
| 2024 | ICASSP | Hierarchical Attacks on Large-Scale Graph Neural Networks. | Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao |
| 2024 | ICLR | Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization. | Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao |
| 2024 | ICML | 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 |
| 2024 | ICML | Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework. | Haonan Huang, Guoxu Zhou, Yanghang Zheng, Yuning Qiu, Andong Wang, Qibin Zhao |
| 2024 | ICML | tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs). | Junhua Zeng, Chao Li, Zhun Sun, Qibin Zhao, Guoxu Zhou |
| 2024 | ICML | Jacobian Regularizer-based Neural Granger Causality. | Wanqi Zhou, Shuanghao Bai, Shujian Yu, Qibin Zhao, Badong Chen |
| 2023 | AAAI | Memorization Weights for Instance Reweighting in Adversarial Training. | Jianfu Zhang, Yan Hong, Qibin Zhao |
| 2023 | ICML | Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations. | Chao Li, Junhua Zeng, Chunmei Li, Cesar F. Caiafa, Qibin Zhao |
| 2023 | ICONIP | Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis. | Zerui Tao, Toshihisa Tanaka, Qibin Zhao |
| 2022 | ICASSP | Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization. | Haonan Huang, Yihao Luo, Guoxu Zhou, Qibin Zhao |
| 2022 | ICASSP | Variational Bayesian Tensor Networks with Structured Posteriors. | Kriton Konstantinidis, Yao Lei Xu, Qibin Zhao, Danilo P. Mandic |
| 2022 | ICML | Permutation Search of Tensor Network Structures via Local Sampling. | Chao Li, Junhua Zeng, Zerui Tao, Qibin Zhao |
| 2022 | IJCAI | MMT: Multi-way Multi-modal Transformer for Multimodal Learning. | Jiajia Tang, Kang Li, Ming Hou, Xuanyu Jin, Wanzeng Kong, Yu Ding, Qibin Zhao |
| 2022 | IJCNN | Tensor Neural Controlled Differential Equations. | Mingyuan Bai, Jie Chen, Qibin Zhao, Chao Li, Junping Zhang, Junbin Gao |
| 2021 | AAAI | 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 |
| 2021 | ACL | CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network. | Jiajia Tang, Kang Li, Xuanyu Jin, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong |
| 2021 | ACML | Bayesian Latent Factor Model for Higher-order Data. | Zerui Tao, Xuyang Zhao, Toshihisa Tanaka, Qibin Zhao |
| 2021 | AISTATS | On the Memory Mechanism of Tensor-Power Recurrent Models. | Hejia Qiu, Chao Li, Ying Weng, Zhun Sun, Xingyu He, Qibin Zhao |
| 2021 | CVPR | Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding. | Cesar F. Caiafa, Ziyao Wang, Jordi Sol-Casals, Qibin Zhao |
| 2021 | ICASSP | Tensor Decomposition Via Core Tensor Networks. | Jianfu Zhang, Zerui Tao, Liqing Zhang, Qibin Zhao |
| 2021 | ICASSP | Hide Chopin in the Music: Efficient Information Steganography Via Random Shuffling. | Zhun Sun, Chao Li, Qibin Zhao |
| 2021 | IJCNN | Tensorial Time Series Prediction via Tensor Neural Ordinary Differential Equations. | Mingyuan Bai, Qibin Zhao, Junbin Gao |
| 2021 | IJCNN | Multi-distorted Image Restoration with Tensor 1 1 Convolutional Layer. | Zihao Huang, Chao Li, Feng Duan, Qibin Zhao |
| 2020 | AAAI | 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 |
| 2020 | AAAI | Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms. | Andong Wang, Chao Li, Zhong Jin, Qibin Zhao |
| 2020 | ECCV | TPFN: Applying Outer Product Along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data. | Binghua Li, Chao Li, Feng Duan, Ning Zheng, Qibin Zhao |
| 2020 | ICASSP | Classification of Epileptic IEEG Signals by CNN and Data Augmentation. | Xuyang Zhao, Jordi Sol-Casals, Binghua Li, Zihao Huang, Andong Wang, Jianting Cao, Toshihisa Tanaka, Qibin Zhao |
| 2019 | AAAI | 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 |
| 2019 | ACL | Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization. | Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency |
| 2019 | CVPR | Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. | Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao |
| 2019 | CVPR | Guaranteed Matrix Completion Under Multiple Linear Transformations. | Chao Li, Wei He, Longhao Yuan, Zhun Sun, Qibin Zhao |
| 2019 | ICASSP | Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. | Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao |
| 2019 | ICASSP | Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction. | Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao |
| 2019 | ICASSP | Tensor-ring Nuclear Norm Minimization and Application for Visual : Data Completion. | Jinshi Yu, Chao Li, Qibin Zhao, Guoxu Zhao |
| 2019 | ICASSP | Learning Efficient Tensor Representations with Ring-structured Networks. | Qibin Zhao, Masashi Sugiyama, Longhao Yuan, Andrzej Cichocki |
| 2019 | ISNN | Quasi-Brain-Death EEG Diagnosis Based on Tensor Train Decomposition. | Qipeng Chen, Longhao Yuan, Yao Miao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao |
| 2018 | ICASSP | High-Order Tensor Completion for Data Recovery via Sparse Tensor-Train Optimization. | Longhao Yuan, Qibin Zhao, Jianting Cao |
| 2018 | ICLR | Learning Efficient Tensor Representations with Ring Structure Networks. | Qibin Zhao, Masashi Sugiyama, Longhao Yuan, Andrzej Cichocki |
| 2018 | IJCAI | Generative Adversarial Positive-Unlabelled Learning. | Ming Hou, Brahim Chaib-draa, Chao Li, Qibin Zhao |
| 2017 | ICONIP | A Graph Theory Analysis on Distinguishing EEG-Based Brain Death and Coma. | Gaochao Cui, Li Zhu, Qibin Zhao, Jianting Cao, Andrzej Cichocki |
| 2017 | ICONIP | Completion of High Order Tensor Data with Missing Entries via Tensor-Train Decomposition. | Longhao Yuan, Qibin Zhao, Jianting Cao |
| 2017 | IDEAL | Semi-supervised Regularized Discriminant Analysis for EEG-Based BCI System. | Yuhang Xin, Qiang Wu, Qibin Zhao, Qi Wu |
| 2016 | AAAI | Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression. | Ming Hou, Qibin Zhao, Brahim Chaib-draa, Andrzej Cichocki |
| 2016 | ECAI | Higher-Order Correlation Coefficient Analysis for EEG-Based Brain-Computer Interface. | Ye Liu, Qibin Zhao, Min Chen, Liqing Zhang |
| 2016 | ICASSP | Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion. | Yu Zhang, Qibin Zhao, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki |
| 2016 | ICMV | Video denoising using low rank tensor decomposition. | Lihua Gui, Gaochao Cui, Qibin Zhao, Dongsheng Wang, Andrzej Cichocki, Jianting Cao |
| 2016 | ICONIP | Dynamic MEMD Associated with Approximate Entropy in Patients' Consciousness Evaluation. | Gaochao Cui, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Andrzej Cichocki |
| 2015 | AAAI | Multi-tensor Completion with Common Structures. | Chao Li, Qibin Zhao, Junhua Li, Andrzej Cichocki, Lili Guo |
| 2014 | ECAI | Common Spatial-Spectral Boosting Pattern for Brain-Computer Interface. | Ye Liu, Hao Zhang, Qibin Zhao, Liqing Zhang |
| 2014 | ICASSP | Tensor-variate Gaussian processes regression and its application to video surveillance. | Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki |
| 2014 | ISNN | Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient. | Guoxu Zhou, Qibin Zhao, Yu Zhang, Andrzej Cichocki |
| 2013 | AAAI | A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data. | Qibin Zhao, Liqing Zhang, Andrzej Cichocki |
| 2013 | ICASSP | Kernel-based tensor partial least squares for reconstruction of limb movements. | Qibin Zhao, Guoxu Zhou, Tlay Adali, Liqing Zhang, Andrzej Cichocki |
| 2012 | CIS | Canonical Polyadic Decomposition: From 3-way to N-Way. | Guoxu Zhou, Zhaoshui He, Yu Zhang, Qibin Zhao, Andrzej Cichocki |
| 2012 | ICONIP | Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations. | Fengyu Cong, Anh Huy Phan, Qibin Zhao, Qiang Wu, Tapani Ristaniemi, Andrzej Cichocki |
| 2011 | ICONIP | Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs. | Yu Zhang, Guoxu Zhou, Qibin Zhao, Akinari Onishi, Jing Jin, Xingyu Wang, Andrzej Cichocki |
| 2011 | ICONIP | A Novel Oddball Paradigm for Affective BCIs Using Emotional Faces as Stimuli. | Qibin Zhao, Akinari Onishi, Yu Zhang, Jianting Cao, Liqing Zhang, Andrzej Cichocki |
| 2010 | ICONIP | A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials. | Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi |
| 2009 | ICASSP | Multilinear generalization of Common Spatial Pattern. | Qibin Zhao, Liqing Zhang, Andrzej Cichocki |
| 2009 | ICONIP | Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains. | Qibin Zhao, Cesar F. Caiafa, Andrzej Cichocki, Liqing Zhang, Anh Huy Phan |
| 2008 | IJCNN | Incremental Common Spatial Pattern algorithm for BCI. | Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Jie Li |
| 2006 | ICONIP | Two-Stage Temporally Correlated Source Extraction Algorithm with Its Application in Extraction of Event-Related Potentials. | Zhi-Lin Zhang, Liqing Zhang, Xiu-Ling Wu, Jie Li, Qibin Zhao |