25 citations · 34 across the 8 of their papers we have counts for
8 papers
Whole-Sequence Convergence of Variable-Smoothing Full-Splitting Methods via a Lifted Kurdyka-Łojasiewicz Framework
Min Tao
We establish whole-sequence convergence of the primal iterates of the smoothing-based full-splitting proximal subgradient method (S-FSPS) of Boţ, Li, and Tao (SIAM J. Optim., 35 (2…
Counterexamples to Whole-Sequence Convergence of Variable-Smoothing Full-Splitting Methods
Min Tao
We study whole-sequence convergence of the smoothing-based full-splitting proximal subgradient method (S-FSPS) for structured nonconvex and nonsmooth fractional programs, introduce…
Unified Analysis on L1 over L2 Minimization for signal recovery
Min Tao, Xiao-Ping Zhang
In this paper, we carry out a unified study for over sparsity promoting models, which are widely used in the regime of coherent dictionaries for recovering sparse nonne…
Minimizing L1 over L2 norms on the gradient
Chao Wang, Min Tao, Chen-Nee Chuah +2
In this paper, we study the L1/L2 minimization on the gradient for imaging applications. Several recent works have demonstrated that L1/L2 is better than the L1 norm when approxima…
Limited-angle CT reconstruction via the L1/L2 minimization
Chao Wang, Min Tao, James Nagy +1
In this paper, we consider minimizing the L1/L2 term on the gradient for a limited-angle scanning problem in computed tomography (CT) reconstruction. We design a specific splitting…
Unorganized Malicious Attacks Detection
Ming Pang, Wei Gao, Min Tao +1
Recommender system has attracted much attention during the past decade. Many attack detection algorithms have been developed for better recommendations, mostly focusing on shilling…
Convergence analysis of the direct extension of ADMM for multiple-block separable convex minimization
Min Tao, Xiaoming Yuan
Recently, the alternating direction method of multipliers (ADMM) has found many efficient applications in various areas; and it has been shown that the convergence is not guarantee…
On the Optimal Linear Convergence Rate of a Generalized Proximal Point Algorithm
Min Tao, Xiaoming Yuan
The proximal point algorithm (PPA) has been well studied in the literature. In particular, its linear convergence rate has been studied by Rockafellar in 1976 under certain conditi…