activity
20142023
most citedWeighted iteration complexity of the sPADMM on the KKT residuals for convex composite optimization

5 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20232 cited

EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors

Xinyu Yi, Yuxiao Zhou, Marc Habermann +4

Human and environment sensing are two important topics in Computer Vision and Graphics. Human motion is often captured by inertial sensors, while the environment is mostly reconstr…

math.OC2023

Computing one-bit compressive sensing via zero-norm regularized DC loss model and its surrogate

Kai Chen, Ling Liang, Shaohua Pan

One-bit compressed sensing is very popular in signal processing and communications due to its low storage costs and low hardware complexity, but it is a challenging task to recover…

math.OC20165 cited

Weighted iteration complexity of the sPADMM on the KKT residuals for convex composite optimization

Li Shen, Shaohua Pan

In this paper we establish an weighted iteration complexity on the KKT residuals yielded by the sPADMM (semi-proximal alternating direction method of multipl…

math.OC2016

Regular and limiting normal cones for the subdifferential mapping graph of nuclear norm

Yulan Liu, Shaohua Pan

This paper focuses on the characterization for the regular and limiting normal cones to the graph of the subdifferential mapping of the nuclear norm, which is essential to derive o…

math.OC20144 cited

Exact penalty decomposition method for zero-norm minimization based on MPEC formulation

Shujun Bi, Xiaolan Liu, Shaohua Pan

We reformulate the zero-norm minimization problem as an equivalent mathematical program with equilibrium constraints and establish that its penalty problem, induced by adding the c…