2023

  Transformed low-rank parameterization can help robust generalization for tensor neural networks (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) 
  Gan PU: Generative Adversarial Positive-Unlabeled Learning 
  BCPF: Bayesian CP Factorization for Tensor Completion 
  BRTF: Bayesian Robust Tensor Factorization 
  T3C: Tensor-Train Tensor Completion