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…
An Optical Parametric Amplifier via χ(2) in AlGaAs Waveguides
We report parametric gain by utilizing χ(2) non-linearities in a semiconductor Bragg Reflection Waveguide (BRW) waveguide chip. Under the two-mode degenerate type II phase matching, it can be show…
What’s in a Face? An Experiment on Facial Information and Loan-Approval Dec…
Facial information is essential in daily life, but relatively little is known about whether seeing a face improves people’s decision quality. This experimental paper studies the loan-approval dec…
Investigating Bi-Level Optimization for Learning and Vision From a Unified Pe…
Bi-Level Optimization (BLO) is originated from the area of economic game theory and then introduced into the optimization community. BLO is able to handle problems with a hierarchical structure, in…
‘Dial up’ Photonic Integrated Circuit Filter
Photonic integrated circuits (PICs) are capable of providing advanced signal processing functions in small footprints; however, their operation is affected by fabrication tolerances in addition to …
Flow-Based Algorithms for Improving Clusters: A Unifying Framework, Software,…
Clustering points in a vector space or nodes in a graph is a ubiquitous primitive in statistical data analysis, and it is commonly used for exploratory data analysis. In practice, it is often of in…
Characterization and Manipulation of Temporal Structures of Dispersive Waves …
Dispersive waves (DWs) are ubiquitous in nonlinear optical systems that host optical solitons. In particular, DWs in soliton fiber lasers have attracted continuous interest over the past decades si…
BenchENAS : A Benchmarking Platform for Evolutionary Neural Architecture Search
Neural architecture search (NAS), which automatically designs the architectures of deep neural networks, has achieved breakthrough success over many applications in the past few years. Among differ…
A High Performance Silicon Nitride Optical Delay Line With Good Expansibility
In this paper, based on the double strip silicon nitride platform, we designed and fabricated a low loss continuously tunable broadband optical delay line, which contains a 5-bit optical switched d…
Aggressive Look-Up Table Compression by Principal Component Analysis for Digi…
In this paper, we propose to reduce the size of look-up table (LUT) for digital pre-distortion in optical communication using principal component analysis (PCA). In this scheme, the full-size LUT a…
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