High-Dimensional Gaussian Graphical Regression Models with Covariates

Though Gaussian graphical models have been widely used in many scientific fields, relatively limited progress has been made to link graph structures to external covariates. We propose a Gaussian gr…

Genetic Underpinnings of Brain Structural Connectome for Young Adults

With distinct advantages in power over behavioral phenotypes, brain imaging traits have become emerging endophenotypes to dissect molecular contributions to behaviors and neuropsychiatric illnesses…

Investigation of AlGaN-Delta–GaN-Based UV Photodiodes in a Metal–Semicond…

Metal–semiconductor–metal (MSM) configured UV photodiodes (PD’s) were designed and fabricated on an AlGaN/GaN–based substrate for efficient and ultrafast UV detection. The purpose was to in…

Adaptive Hybrid Iterative Linearization Algorithms for IM/DD Optical Transmis…

For optical field recovery and linear dispersion compensation, we propose a performance-enhanced linearization algorithm, termed adaptive hybrid multi-constraint iteration algorithm (MCIA), which d…

LiNbO3 Optical Waveguide Sensor for Measurement of Electromagnetic Emission

For measurement of the electromagnetic emission (EME) with larger dynamic range and broader bandwidth, two types of LiNbO 3 (LN) optical waveguide (OWG) electric field sensor fusing with an OWG asy…

Fast Network Community Detection With Profile-Pseudo Likelihood Methods

The stochastic block model is one of the most studied network models for community detection, and fitting its likelihood function on large-scale networks is known to be challenging. One prominent w…

Extended Study on Equalization-Enhanced Phase Noise for High-Order Modulation…

Coherent optical receivers with electronic dispersion compensation (EDC) become ubiquitous for high-capacity and long-distance transmissions. However, their performance can be decimated by equaliza…

Molecular medical microbiology

Partially Observed Dynamic Tensor Response Regression

In modern data science, dynamic tensor data prevail in numerous applications. An important task is to characterize the relationship between dynamic tensor datasets and external covariates. However,…

A Microwave Photonic Channelized Receiver With Self-Interference Cancellation

Microwave photonic channelized receiver can break through the electronic bottleneck, improve the throughput of satellite payload, and is expected to be widely used in broadband satellite communicat…