5 citations · 12 across the 6 of their papers we have counts for
11 papers
Fiber optic computing using distributed feedback
Brandon Redding, Joseph B. Murray, Joseph D. Hart +3
The widespread adoption of machine learning and other matrix intensive computing algorithms has inspired renewed interest in analog optical computing, which has the potential to pe…
Integrated Photonic Encoder for Terapixel Image Processing
Xiao Wang, Brandon Redding, Nicholas Karl +5
Modern lens designs are capable of resolving >10 gigapixels, while advances in camera frame-rate and hyperspectral imaging have made Terapixel/s data acquisition a real possibility…
A physical neural network training approach toward multi-plane light conversion design
Zheyuan Zhu, Joe H. Doerr, Guifang Li +1
Multi-plane light converter (MPLC) designs supporting hundreds of modes are attractive in high-throughput optical communications. These photonic structures typically comprise >10 p…
A statistical reconstruction algorithm for positronium lifetime imaging using time-of-flight positron emission tomography
Hsin-Hsiung Huang, Zheyuan Zhu, Slun Booppasiri +3
Positron emission tomography (PET) is an important modality for diagnosing diseases such as cancer and Alzheimer's disease, capable of revealing the uptake of radiolabeled molecule…
Fixed-point iterative linear inverse solver with extended precision
Zheyuan Zhu, Andrew B. Klein, Guifang Li +1
Solving linear systems is a ubiquitous task in science and engineering. Because directly inverting a large-scale linear system can be computationally expensive, iterative algorithm…
Training of mixed-signal optical convolutional neural network with reduced quantization level
Joseph Ulseth, Zheyuan Zhu, Guifang Li +1
Mixed-signal artificial neural networks (ANNs) that employ analog matrix-multiplication accelerators can achieve higher speed and improved power efficiency. Though analog computing…