Jinshi Yu

According to our database, Jinshi Yu authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust to Rank Selection: Low-Rank Sparse Tensor-Ring Completion.

Jinshi Yu, Guoxu Zhou, Weijun Sun, Shengli Xie

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Low tensor-ring rank completion: parallel matrix factorization with smoothness on latent space.

Jinshi Yu, Tao Zou, Guoxu Zhou

Neural Comput. Appl., March, 2023

Incomplete Multiview Clustering via Low-Rank Tensor Ring Completion.

Jinshi Yu, Haonan Huang, Qi Duan, Yafei Wang, Tao Zou

Int. J. Intell. Syst., 2023

2022

Multi-Aspect Streaming Tensor Ring Completion for Dynamic Incremental Data.

Zhenhao Huang, Yuning Qiu, Jinshi Yu, Guoxu Zhou

IEEE Signal Process. Lett., 2022

Online subspace learning and imputation by Tensor-Ring decomposition.

Jinshi Yu, Tao Zou, Guoxu Zhou

Neural Networks, 2022

2021

Low Tensor-Ring Rank Completion by Parallel Matrix Factorization.

Jinshi Yu, Guoxu Zhou, Chao Li, Qibin Zhao, Shengli Xie

IEEE Trans. Neural Networks Learn. Syst., 2021

2020

An Efficient Tensor Completion Method Via New Latent Nuclear Norm.

Jinshi Yu, Weijun Sun, Yuning Qiu, Yonghui Huang

IEEE Access, 2020

2019

An Efficient Tensor Completion Method via New Latent Nuclear Norm.

Jinshi Yu, Weijun Sun, Yuning Qiu, Shengli Xie

CoRR, 2019

Tensor-Ring Nuclear Norm Minimization and Application for Visual Data Completion.

Jinshi Yu, Chao Li, Qibin Zhao, Guoxu Zhou

CoRR, 2019

Tensor-ring Nuclear Norm Minimization and Application for Visual : Data Completion.

Jinshi Yu, Chao Li, Qibin Zhao, Guoxu Zhao

Proceedings of the IEEE International Conference on Acoustics, 2019

Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling.

Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization.

Jinshi Yu, Guoxu Zhou, Andrzej Cichocki, Shengli Xie

IEEE Access, 2018

An Effective Tensor Completion Method Based on Multi-linear Tensor Ring Decomposition.

Jinshi Yu, Guoxu Zhou, Qibin Zhao, Kan Xie

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

A new canonical polyadic decomposition algorithm with improved stability and its applications to biomedical signal processing.

Kan Xie, Jinshi Yu, Chuan Lu

Clust. Comput., 2017