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)

An Effective Tensor Completion Method Based on Multi-linear Tensor Ring Decomposition. - Jinshi Yu; Guoxu Zhou; Qibin Zhao; Kan Xie (APSIPA, 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)

Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. - Chao Li 013; Zhun Sun; Jinshi Yu; Ming Hou; Qibin Zhao (ICASSP, 2019)

Tensor-ring Nuclear Norm Minimization and Application for Visual : Data Completion. - Jinshi Yu; Chao Li 013; Qibin Zhao; Guoxu Zhao (ICASSP, 2019)

Tensor-Ring Nuclear Norm Minimization and Application for Visual Data Completion. - Jinshi Yu; Chao Li 013; Qibin Zhao; Guoxu Zhou (CoRR, 2019)

An Efficient Tensor Completion Method via New Latent Nuclear Norm. - Jinshi Yu; Weijun Sun; Yuning Qiu; Shengli Xie (CoRR, 2019)

An Efficient Tensor Completion Method Via New Latent Nuclear Norm. - Jinshi Yu; Weijun Sun; Yuning Qiu; Yonghui Huang (IEEE Access, 2020)

Low Tensor-Ring Rank Completion by Parallel Matrix Factorization. - Jinshi Yu; Guoxu Zhou; Chao Li 013; Qibin Zhao; Shengli Xie (IEEE Trans. Neural Networks Learn. Syst., 2021)

Online subspace learning and imputation by Tensor-Ring decomposition. - Jinshi Yu; Tao Zou 001; Guoxu Zhou (Neural Networks, 2022)

Multi-Aspect Streaming Tensor Ring Completion for Dynamic Incremental Data. - Zhenhao Huang; Yuning Qiu; Jinshi Yu; Guoxu Zhou (IEEE Signal Process. Lett., 2022)

Incomplete Multiview Clustering via Low-Rank Tensor Ring Completion. - Jinshi Yu; Haonan Huang; Qi Duan; Yafei Wang; Tao Zou 001 (Int. J. Intell. Syst., 2023)

Low tensor-ring rank completion: parallel matrix factorization with smoothness on latent space. - Jinshi Yu; Tao Zou 001; Guoxu Zhou (Neural Comput. Appl., 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., 2023)

PACANet: A Paired-Attention central axis aggregation network for plant population point cloud segmentation and phenotypic trait Extraction - A case study on maize. - Xin Yang; Teng Miao; Yitong Tao; Bo Zhang; Xiaotong Wu; Xiaodan Han; Jinshi Yu; Yuncheng Zhou; Hanbing Deng; Ying Wang; Tongyu Xu (Comput. Electron. Agric., 2025)

Tensor wheel completion for visual data with sparsity and smoothness on latent space. - Jinshi Yu; Yuan Xie 007; Ge Ma; Xiaomeng Li (Neural Networks, 2025)

Low-rank sparse fully-connected tensor network for tensor completion. - Jinshi Yu; Zhifu Li; Ge Ma; Jingwen Wang; Tao Zou 001; Guoxu Zhou (Pattern Recognit., 2025)