Integrated Sensing and Communications : A Mutual Information-Based Framework
Integrated sensing and communications (ISAC) is capable of circumventing the limitations of existing frequency-division sensing and communications (FDSAC) techniques. Hence, it has recently attract…
BIVAS: A Scalable Bayesian Method for Bi-Level Variable Selection With Applic…
In this article, we consider a Bayesian bi-level variable selection problem in high-dimensional regressions. In many practical situations, it is natural to assign group membership to each predictor…
Spider Silk as a Flexible Light Waveguide for Temperature Sensing
We propose an approach to utilize the natural spider dragline silk (SDS) as a flexible light waveguide integrated into an optic device. SDS is utilized as an air-clad biocompatible light waveguide …
High-Resolution Optical Fiber Strain Sensor Array Based on Pound-Drever-Hall …
Sensors that use Pound-Drever-Hall (PDH) technology benefit from the good performance and high resolution but are in shortage of large-scale multiplexing. This paper proposed a fast phase regulatio…
Bridging the Gap Between Few-Shot and Many-Shot Learning via Distribution Cal…
A major gap between few-shot and many-shot learning is the data distribution empirically oserved by the model during training. In few-shot learning, the learned model can easily become over-fitted …
Machine Learning-Assisted Watermarking via Bias Control of Electro-Optical Mo…
We propose an optical watermarking strategy based on precise bias tuning of an electro-optical modulator and a convolutional neural network-enabled decoder. This scheme can be used for identity aut…
Optimal Covariate Balancing Conditions in Propensity Score Estimation
Inverse probability of treatment weighting (IPTW) is a popular method for estimating the average treatment effect (ATE). However, empirical studies show that the IPTW estimators can be sensitive to…
Quasi-Bayesian Inference for Production Frontiers
This article proposes to estimate and infer the production frontier by combining multiple first-stage extreme quantile estimates via the quasi-Bayesian method. We show the asymptotic properties of …
Descent Properties of an Anderson Accelerated Gradient Method with Restarting
Anderson acceleration (AA) is a popular acceleration technique to enhance the convergence of fixed-point schemes. The analysis of AA approaches often focuses on the convergence behavior of a cor…
Getting the ROC into Sync
Judging the conformity of binary events in macroeconomics and finance has often been done with indices that measure synchronization. In recent years, the use of Receiver Operating Characteristic (R…
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