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Jinshi Yu
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2020 – today
- 2025
- [j10]Jinshi Yu, Zhifu Li
, Ge Ma, Jingwen Wang, Tao Zou, Guoxu Zhou
Low-rank sparse fully-connected tensor network for tensor completion. Pattern Recognit. 158: 111000 (2025) - 2023
- [j9]Jinshi Yu, Haonan Huang, Qi Duan, Yafei Wang
Incomplete Multiview Clustering via Low-Rank Tensor Ring Completion. Int. J. Intell. Syst. 2023: 1-15 (2023) - [j8]Jinshi Yu, Tao Zou
Low tensor-ring rank completion: parallel matrix factorization with smoothness on latent space. Neural Comput. Appl. 35(9): 7003-7016 (2023) - [j7]Jinshi Yu
Robust to Rank Selection: Low-Rank Sparse Tensor-Ring Completion. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2451-2465 (2023) - 2022
- [j6]Jinshi Yu, Tao Zou
Online subspace learning and imputation by Tensor-Ring decomposition. Neural Networks 153: 314-324 (2022) - [j5]Zhenhao Huang
Multi-Aspect Streaming Tensor Ring Completion for Dynamic Incremental Data. IEEE Signal Process. Lett. 29: 2657-2661 (2022) - 2021
- [j4]Jinshi Yu
Low Tensor-Ring Rank Completion by Parallel Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 32(7): 3020-3033 (2021) - 2020
- [j3]Jinshi Yu
An Efficient Tensor Completion Method Via New Latent Nuclear Norm. IEEE Access 8: 126284-126296 (2020)
2010 – 2019
- 2019
- [c3]Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao:
Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. ICASSP 2019: 3022-3026 - [c2]Jinshi Yu, Chao Li, Qibin Zhao, Guoxu Zhao:
Tensor-ring Nuclear Norm Minimization and Application for Visual : Data Completion. ICASSP 2019: 3142-3146 - [i4]Jinshi Yu, Chao Li, Qibin Zhao, Guoxu Zhou:
Tensor-Ring Nuclear Norm Minimization and Application for Visual Data Completion. CoRR abs/1903.08888 (2019) - [i3]Jinshi Yu, Weijun Sun, Yuning Qiu, Shengli Xie:
An Efficient Tensor Completion Method via New Latent Nuclear Norm. CoRR abs/1910.05986 (2019) - 2018
- [j2]Jinshi Yu
Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization. IEEE Access 6: 58096-58105 (2018) - [c1]Jinshi Yu, Guoxu Zhou, Qibin Zhao, Kan Xie:
An Effective Tensor Completion Method Based on Multi-linear Tensor Ring Decomposition. APSIPA 2018: 1344-1349 - [i2]Jinshi Yu, Guoxu Zhou, Andrzej Cichocki, Shengli Xie:
Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization. CoRR abs/1803.07226 (2018) - [i1]Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao:
Low-Rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling. CoRR abs/1810.13098 (2018) - 2017
- [j1]Kan Xie, Jinshi Yu, Chuan Lu:
A new canonical polyadic decomposition algorithm with improved stability and its applications to biomedical signal processing. Clust. Comput. 20(2): 1449-1455 (2017)
Coauthor Index
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