31 citations · 72 across the 11 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…
Signal retrieval with measurement system knowledge using variational generative model
Zheyuan Zhu, Yangyang Sun, Johnathon White +2
Signal retrieval from a series of indirect measurements is a common task in many imaging, metrology and characterization platforms in science and engineering. Because most of the i…
Photon allocation strategy in region-of-interest tomographic imaging
Zheyuan Zhu, Hsin-Hsiung Huang, Shuo Pang
Photon counting detection is a promising approach toward effectively reducing the radiation dose in x-ray computed tomography (CT). Full CT reconstruction from a fraction of the de…
Deep Learning Cell Imaging through Anderson Localizing Optical Fibre
Jian Zhao, Yangyang Sun, Hongbo Zhu +5
We demonstrate a deep-learning-based fibre imaging system which can transfer real-time artifact-free cell images through a meter-long Anderson localizing optical fibre. The cell sa…
Few-photon computed x-ray imaging
Zheyuan Zhu, Shuo Pang
X-ray is a ubiquitous imaging modality in clinical diagnostics and industrial inspections, thanks to its high penetration power. Conventional x-ray imaging system, equipped with en…
Interior X-ray diffraction tomography with low-resolution exterior information
Zheyuan Zhu, Alexander Katsevich, Shuo Pang
X-ray diffraction tomography (XDT) resolves spatially-variant XRD profiles within macroscopic objects, and provides improved material contrast compared to the conventional transmis…