5 citations · 5 across the 4 of their papers we have counts for
4 papers
Sparse Recovery via Minimization
Lang Yu, Nan-jing Huang
The weighted difference of squared norms (WDSN) penalty with has attracted considerable attention due to its strong sparsity-promoting ability…
Sparse Recovery via Ratio Minimization: Theory and Algorithm
Lang Yu, Nan-jing Huang
The constrained ratio model is scale invariant and is therefore attractive for sparse signal recovery. However, its nonconvex, nonsmooth, and fractional structu…
Difference-of-Convex Elastic Net for Compressed Sensing
Lang Yu, Nanjing Huang
This work proposes a novel and unified sparse recovery framework, termed the difference of convex Elastic Net (DCEN). This framework effectively balances strong sparsity promotion…
A Saak Transform Approach to Efficient, Scalable and Robust Handwritten Digits Recognition
Yueru Chen, Zhuwei Xu, Shanshan Cai +2
An efficient, scalable and robust approach to the handwritten digits recognition problem based on the Saak transform is proposed in this work. First, multi-stage Saak transforms ar…