Data Privacy Protection and Utility Preservation through Bayesian Data Synthe…
When releasing record-level data containing sensitive information to the public, the data disseminator is responsible for protecting the privacy of every record in the dataset, simultaneously prese…
Eight Modes Selective Elliptic-Core Photonic Lantern in MIMO-Free Mode Divisi…
We propose an elliptical-core mode selective photonic lantern (EC-MSPL), which can be well matched to mode division multiplexing (MDM) systems without multiple-input multiple-output (MIMO). The tap…
Deep Spatial-Angular Regularization for Light Field Imaging, Denoising, and S…
Coded aperture is a promising approach for capturing the 4-D light field (LF), in which the 4-D data are compressively modulated into 2-D coded measurements that are further decoded by reconstructi…
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Recently, a popular line of research in face recognition is adopting margins in the well-established softmax loss function to maximize class separability. In this paper, we first introduce an Addit…
Integration of Radar Sensing into Communications with Asynchronous Transceivers
Clock asynchronism is a critical issue in integrating radar sensing into communication networks. It can cause ranging ambiguity and prevent coherent processing of discontinuous measurements in inte…
Advanced Dropout : A Model-Free Methodology for Bayesian Dropout Optimization
Due to lack of data, overfitting ubiquitously exists in real-world applications of deep neural networks (DNNs). We propose advanced dropout, a model-free methodology, to mitigate overfitting and im…
High-Dimensional Mediation Analysis for Selecting DNA Methylation Loci Mediat…
Childhood trauma tends to influence cortisol stress reactivity through the mediating effects of DNA methylation. Houtepen et al. conducted a study to investigate the role of DNA methylation in cort…
Discrimination-Aware Network Pruning for Deep Model Compression
We study network pruning which aims to remove redundant channels/kernels and hence speed up the inference of deep networks. Existing pruning methods either train from scratch with sparsity constrai…
Theoretical Analysis of ESA-Enhanced 2.8 μm Lasing in Er-Doped ZBLAN Fiber L…
A detailed analysis of theexcited state absorption (ESA) transition 4 I 13/2 → 4 I 9/2 which occurs in erbium (Er) doped ZBLAN fiber lasers is performed through numerical modeling. It is found th…
NR Coverage Enhancements for PUSCH
Coverage performance is very important for operators when commercializing NR networks due to its direct impact on service quality as well as CAPEX and OPEX. Compared to LTE, NR systems may operate …
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