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…
Watt-Level High-Efficiency Deep-Red Ho3+:ZBLAN Fiber Laser
To date, Ho 3+ -doped fluoride fibers have been investigated as a viable route for deep-red fiber lasers. However, high output performance deep-red fiber lasers around 750 nm have been proven chall…
Kerr Frequency Comb and Stimulated Raman Comb Covering S+C+L+U Band Based on …
Optical microresonators supported whispering gallery modes (WGMs) are one of the most cost-effective platforms for optical frequency comb generated due to their advantages of ultra-high quality ( Q…
Deep Learning-Based Channel Modeling for Free Space Optical Communications
Instead of conventional knowledge-driven modeling, this study introduced data-driven channel modeling methods based on deep learning (DL) in a free-space optical (FSO) communication system to achie…
Cooperative Coevolution With Knowledge-Based Dynamic Variable Decomposition f…
Many practical multiobjective optimization problems have a nested bilevel structure in variables, which can be modeled as bilevel multiobjective optimization problems (BLMOPs). In this article, a c…
Individual Data Protected Integrative Regression Analysis of High-Dimensional…
Evidence-based decision making often relies on meta-analyzing multiple studies, which enables more precise estimation and investigation of generalizability. Integrative analysis of multiple heterog…
LAWS : A Locally Adaptive Weighting and Screening Approach to Spatial Multipl…
Exploiting spatial patterns in large-scale multiple testing promises to improve both power and interpretability of false discovery rate (FDR) analyses. This article develops a new class of locally …
Zeroth-Order Regularized Optimization (ZORO) : Approximately Sparse Gradients…
We consider the problem of minimizing a high-dimensional objective function, which may include a regularization term, using only (possibly noisy) evaluations of the function. Such optimization is a…
Ultra-Low-Noise MIMO Distributed Acoustic Sensor Using Few-Mode Optical Fibers
Distributed optical fiber acoustic sensing technology (DAS) based on Rayleigh backscattering (RBS) is experiencing a rapid development because of the unique capability of measuring acoustic waves a…
Real-Time FPGA Investigation of Interplay Between Probabilistic Shaping and F…
In this work, we implement a complete probabilistic amplitude shaping (PAS) architecture on a field-programmable gate array (FPGA) platform to study the interplay between probabilistic shaping (PS)…
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