The Cauchy Combination Test under Arbitrary Dependence Structures

Combining individual p-values to perform an overall test is often encountered in statistical applications. The Cauchy combination test (CCT) (Journal of the American Statistical Association, 2020, …

Molecular medical microbiology

Design of a Mach-Zehnder Interferometric Fiber Sensing System Based on PCA-As…

We propose and numerically design a Mach-Zehnder interferometric sensing system using principal-component-analysis-based orbital angular momentum (OAM) interrogation for simultaneous measurement of…

A Compact Fluorescent Probe for Real-Time Thermal Monitoring of Chips

In this paper, a compact fluorescent probe based on fluorescence intensity ratio (FIR) technique is proposed for real-time thermal monitoring of chips, the sensing unit of which is based on a self-…

Wavelength-Tunable Monolithically Integrated Chaotic Semiconductor Laser

Chaos wavelength division multiplexing is a key technology to solve incompatibility between chaos secure communication and large capacity fiber data transmission. However, the existing integrated c…

Fusing Physics to Fiber Nonlinearity Model for Optical Networks Based on Phys…

Machine learning (ML) has been widely used for physical layer modeling in optical networks for its high accuracy and efficient calculation structure. However, traditional ML-based methods purely re…

A(DP)22SGD : Asynchronous Decentralized Parallel Stochastic Gradient Descent …

As deep learning models are usually massive and complex, distributed learning is essential for increasing training efficiency. Moreover, in many real-world application scenarios like healthcare, di…

SurRF : Unsupervised Multi-View Stereopsis by Learning Surface Radiance Field

The recent success in supervised multi-view stereopsis (MVS) relies on the onerously collected real-world 3D data. While the latest differentiable rendering techniques enable unsupervised MVS, they…

Understanding a Class of Decentralized and Federated Optimization Algorithms:…

Distributed algorithms have been playing an increasingly important role in many applications such as machine learning, signal processing, and control. Significant research efforts have been devoted…

Optical Imaging Using Orbital Angular Momentum: Interferometry, Holography an…

Light with helical phase wavefront carries orbital angular momentum, a unique feature widening the horizon of optical imaging applicability. Here, we take particular interest in the common but impo…