Jinshi Yu

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

Qibin Zhao, Guoxu Zhou, Jinshi Yu, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Guoxu Zhou, S. Xie, Weijun Sun, 2021, IEEE Transactions on Neural Networks and Learning Systems.

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

Guoxu Zhou, Tao Zou, Jinshi Yu, 2022, Neural computing & applications (Print).

An Efficient Tensor Completion Method Via New Latent Nuclear Norm

Yuning Qiu, Jinshi Yu, Weijun Sun, 2019, IEEE Access.

Low Tensor-Ring Rank Completion by Parallel Matrix Factorization

Chao Li, Shengli Xie, Guoxu Zhou, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Fast nonnegative tensor ring decomposition based on the modulus method and low-rank approximation

Kan Xie, Qi Jiang, YuYuan Yu, 2021, Science China Technological Sciences.

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

Chao Li, Qibin Zhao, Ming Hou, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Kan Xie, Jinshi Yu, Chuan Lu, 2017, Cluster Computing.

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

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2018, IEEE Access.