More and more machine learning techniques are involved in fiber-optic distributed acoustic sensor (DAS) to improve its intelligent recognition ability. However, the supervised methods need sufficie…
There has been renewed interest in coherent detection to provide high spectral efficiency transmission for short-reach optical interconnects. However, the expensive high-stable laser sources may pr…
Multitask optimization aims to solve two or more optimization tasks simultaneously by leveraging intertask knowledge transfer. However, as the number of tasks increases to the extent of many-task o…
This paper proposes an end-to-end fine-grained visual categorization system, termed Part-based Convolutional Neural Network (P-CNN), which consists of three modules. The first module is a Squeeze-a…
Two-grid methods with exact solution of the Galerkin coarse-grid system have been well studied by the multigrid community: an elegant identity has been established to characterize the convergence f…
Integration of a single III-V quantum dot with a plasmonic nanoantenna is still underexplored as a means towards efficient single-photon sources. Here, we propose two new concepts based on a nanowi…
This work presents a gas-liquid sensor based on chalcogenide etched-tapered fiber (ETF) functionalized with graphene oxide film. Unlike the preparation of conventional tapered fiber sensors, the co…
A tunable bandwidth add-drop filter in ideal quasi-critical coupling (QCC) state was analyzed in theory in detail and demonstrated in experiment, with two vector modes HE X11 and HE Y11 coupled sin…
On-chip mode-division multiplexing (MDM) holds great promise to tackle a bandwidth crunch for optical communications and interconnects. Here, we experimentally demonstrate the mode-splitting by tak…
Tensor principal component pursuit (TPCP) is a powerful approach in the tensor robust principal component analysis (TRPCA), where the goal is to decompose a data tensor to a low-tubal-rank part plu…