Qibin Zhao

Implicit Variational Rejection Sampling UAI 2026 Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance CVPR 2025 Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression ICML 2025 Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks MICCAI 2025 Scaling Capability in Token Space: An Analysis of Large Vision Language Model JMLR 2025 STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search CVPR 2025 Tensor Decomposition Based Memory-Efficient Incremental Learning ICML 2025 Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models ICCV 2025 Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework ICML 2024 Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization ICLR 2024 Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance ICML 2024 Efficient Nonparametric Tensor Decomposition for Binary and Count Data AAAI 2024 Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NeurIPS 2024 Jacobian Regularizer-based Neural Granger Causality ICML 2024 SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective CVPR 2024 tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs) ICML 2024 Towards Multi-Mode Outlier Robust Tensor Ring Decomposition AAAI 2024 Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations ICML 2023 Memorization Weights for Instance Reweighting in Adversarial Training AAAI 2023 Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks NeurIPS 2023 Undirected Probabilistic Model for Tensor Decomposition NeurIPS 2023 MMT: Multi-way Multi-modal Transformer for Multimodal Learning IJCAI 2022 Permutation Search of Tensor Network Structures via Local Sampling ICML 2022 SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG NeurIPS 2022 Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective JMLR 2022 Bayesian Latent Factor Model for Higher-order Data ACML 2021 CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network ACL 2021 Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion AAAI 2021 On the Memory Mechanism of Tensor-Power Recurrent Models AISTATS 2021 Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling AAAI 2020 Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms AAAI 2020 TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data ECCV 2020 Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling NeurIPS 2019 Guaranteed Matrix Completion Under Multiple Linear Transformations CVPR 2019 Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization ACL 2019 Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising CVPR 2019 Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion AAAI 2019 Generative Adversarial Positive-Unlabelled Learning IJCAI 2018 Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach NeurIPS 2011