Jing‐Hua Yang

Low-rank tensor train for tensor robust principal component analysis

Jing‐Hua Yang, Xi-Le Zhao, Teng-Yu Ji et al. · Applied Mathematics and Computation · 2019 · 128 citations

Computing, Computer Science, Data Science +14

Remote sensing images destriping using unidirectional hybrid total variation and nonconvex low-rank regularization

Jing‐Hua Yang, Xi-Le Zhao, Tian-Hui Ma et al. · Journal of Computational and Applied Mathematics · 2019 · 121 citations

Computing, Earth Sciences, Computer Vision +13

Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation

Meng Ding, Ting‐Zhu Huang, Teng-Yu Ji et al. · Journal of Scientific Computing · 2019 · 90 citations

Computing, Computer Science, Machine Learning +9

Total variation and high-order total variation adaptive model for restoring blurred images with Cauchy noise

Jing‐Hua Yang, Xi-Le Zhao, Jin-Jin Mei et al. · Computers & Mathematics with Applications · 2018 · 60 citations

Arts, Vision Science, Computer Vision +13

Low-rank tensor approximation with local structure for multi-view intrinsic subspace clustering

Lele Fu, Jing‐Hua Yang, Chuan Chen et al. · Information Sciences · 2022 · 49 citations

Computing, Computer Science, Computer Vision +11