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    2026

    2025

      Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models (ICCV 2025) 
      Towards a Geometric Understanding of Tensor Learning via the t-Product (NeurIPS 2025) 
      Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression (ICML 2025) 
      Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance (CVPR 2025) 
      STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search (CVPR 2025) 
      Unified multimodal multidomain polymer representation for property prediction (npj Computational Materials, 2025) 
      Adversarial guided diffusion models for adversarial purification (Neural Networks, 2025) 

    2024

      Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts (NeurIPS 2024) 
      tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs) (ICML 2024) 
      Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance (ICML 2024) 
      Jacobian Regularizer-based Neural Granger Causality (ICML 2024) 
      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) 
      Efficient nonparametric tensor decomposition for binary and count data (AAAI 2024) 

    2023

      Transformed low-rank parameterization can help robust generalization for tensor neural networks (NeurIPS 2023) 
      Undirected Probabilistic Model for Tensor Decomposition (NeurIPS 2023) 
      Alternating local enumeration (tnale): Solving tensor network structure search with fewer evaluations (ICML 2023) 

    2021

      Bayesian Latent Factor Model for Higher-order Data (ACML 2021) 
      Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding (CVPR Workshop 2021) 
      On the Memory Mechanism of Tensor-Power Recurrent Models (AISTATS 2021) 
      Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion (AAAI 2021) 

    2020

      TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data (ECCV 2020) 
      Evolutionary Topology Search for Tensor Network Decomposition (ICML 2020) 
      Beyond unfolding: Exact recovery of latent convex tensor decomposition under reshuffling (AAAI 2020) 
      Robust tensor decomposition via orientation invariant tubal nuclear norms (AAAI 2020) 

    2019

      Deep multimodal multilinear fusion with high-order polynomial pooling (NeurIPS 2019) 
      Tensor ring decomposition with rank minimization on latent space: An efficient approach for tensor completion (AAAI 2019) 

    2018

      Tensorizing generative adversarial nets (ICCE Asia 2018) 
      Generative adversarial positive-unlabeled learning (IJCAI 2018) 

    other

      Tensor Ring Decomposotion Toolbox [Matlab][Python] 
      Gan PU: Generative Adversarial Positive-Unlabeled Learning 
      BCPF: Bayesian CP Factorization for Tensor Completion 
      BRTF: Bayesian Robust Tensor Factorization 
      T3C: Tensor-Train Tensor Completion 
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