Search Results for author: Weijun Sun

Found 4 papers, 1 papers with code

A high-order tensor completion algorithm based on Fully-Connected Tensor Network weighted optimization

no code implementations4 Apr 2022 Peilin Yang, Yonghui Huang, Yuning Qiu, Weijun Sun, Guoxu Zhou

The algorithm performs a composition of the completed tensor by initialising the factors from the FCTN decomposition.

Tensor Decomposition

Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation

no code implementations6 Sep 2021 Xinhai Zhao, Yuyuan Yu, Guoxu Zhou, Qibin Zhao, Weijun Sun

For the high dimensional data representation, nonnegative tensor ring (NTR) decomposition equipped with manifold learning has become a promising model to exploit the multi-dimensional structure and extract the feature from tensor data.

Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data

1 code implementation2 Dec 2020 Haonan Huang, Naiyao Liang, Wei Yan, Zuyuan Yang, Weijun Sun

To address these concerns, we present a partially shared semi-supervised deep matrix factorization model (PSDMF).

MULTI-VIEW LEARNING

An Efficient Tensor Completion Method via New Latent Nuclear Norm

no code implementations14 Oct 2019 Jinshi Yu, Weijun Sun, Yuning Qiu, Shengli Xie

In tensor completion, the latent nuclear norm is commonly used to induce low-rank structure, while substantially failing to capture the global information due to the utilization of unbalanced unfolding scheme.

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