This article considers a semiparametric spatial autoregressive (SAR) panel data model with fixed effects and time-varying coefficients. The time-varying coefficients are allowed to follow unknown f…
We consider the inverse time-harmonic elastic source problems with multifrequency sparse far field patterns. The unknown multiscale object is a combination of point sources and an extended source w…
Semantic parsing, edge detection, and pose estimation of human are three closely-related tasks. They present human characteristics from three complementary aspects. Compared to learning them indivi…
The divide-and-conquer strategy has been widely used in cooperative co-evolutionary algorithms to deal with large-scale global optimization problems, where a target problem is decomposed into a set…
This article is the second part of a two-part survey series on large-scale global optimization. The first part covered two major algorithmic approaches to large-scale optimization, namely, decompos…
Scalability of optimization algorithms is a major challenge in coping with the ever-growing size of optimization problems in a wide range of application areas from high-dimensional machine learning…
Temporal multiplexed fiber Bragg grating (FBG) sensing system for detecting physical parameters with a high spatial resolution is desirable for applications such as structure health monitoring, oil…
A light beam scanning technology for3D sensing has been attracting much interest thanks to its signal-to-noise-ratio merit compared to conventional flash 3D sensing. A Solid-state beam scanner base…
This paper investigates the inverse scattering problems using sampling methods with near field measurements. The near field measurements appear in two classical inverse scattering problems: inverse…