14 citations · 41 across the 6 of their papers we have counts for
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cs.LG2023
Regularize implicit neural representation by itself
Zhemin Li, Hongxia Wang, Deyu Meng
This paper proposes a regularizer called Implicit Neural Representation Regularizer (INRR) to improve the generalization ability of the Implicit Neural Representation (INR). The IN…
cs.LG2021★ 7 cited
AIR-Net: Adaptive and Implicit Regularization Neural Network for Matrix Completion
Zhemin Li, Tao Sun, Hongxia Wang +1
The explicit low-rank regularization, e.g., nuclear norm regularization, has been widely used in imaging sciences. However, it has been found that implicit regularization outperfor…
cs.LG2020★ 13 cited
A regularized deep matrix factorized model of matrix completion for image restoration
Zhemin Li, Zhi-Qin John Xu, Tao Luo +1
It has been an important approach of using matrix completion to perform image restoration. Most previous works on matrix completion focus on the low-rank property by imposing expli…