In high-dimensional data analysis, bi-level sparsity is often assumed when covariates function group-wisely and can appear either at the group level or within certain groups. such cases, an ideal model should be able to encourage variable selection consistently. Bi-level has become even more challenging have heavy-tailed distribution outliers exist in random errors covariates. this paper, we st...