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20162025
most citedTensor Restricted Isometry Property Analysis For a Large Class of Random Measurement Ensembles

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Accelerating Large-Scale Regularized High-Order Tensor Recovery

Wenjin Qin, Hailin Wang, Jingyao Hou +1

Currently, existing tensor recovery methods fail to recognize the impact of tensor scale variations on their structural characteristics. Furthermore, existing studies face prohibit…

cs.IT2020

The high-order block RIP for non-convex block-sparse compressed sensing

Jianwen Huang, Xinling Liu, Jinyao Hou +1

This paper concentrates on the recovery of block-sparse signals, which is not only sparse but also nonzero elements are arrayed into some blocks (clusters) rather than being arbitr…

math.PR2020

On the distributional expansions of powered extremes from Maxwell distribution

Jianwen Huang, Xinling Liu, Jianjun Wang +3

In this paper, asymptotic expansions of the distributions and densities of powered extremes for Maxwell samples are considered. The results show that the convergence speeds of norm…

stat.ML2019★ 1 cited

Tensor Restricted Isometry Property Analysis For a Large Class of Random Measurement Ensembles

Feng Zhang, Wendong Wang, Jingyao Hou +2

In previous work, theoretical analysis based on the tensor Restricted Isometry Property (t-RIP) established the robust recovery guarantees of a low-tubal-rank tensor. The obtained…

math.ST2016

Higher-order expansions of extremes from mixed skew-t distribution

Jingyao Hou, Xin Liao, Zuoxiang Peng

In this paper, we study the asymptotic behaviors of the extreme of mixed skew-t distribution. We considered limits on distribution and density of maximum of mixed skew-t distributi…