Yi Luo

Affiliations:
  • University of California, Los Angeles, UCLA, Bioengineering Department, Electrical and Computer Engineering Department, CNSI, LA,USA


According to our database1, Yi Luo authored at least 16 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Virtual impactor-based label-free bio-aerosol detection using holography and deep learning.
CoRR, 2022

Massively Parallel Universal Linear Transformations using a Wavelength-Multiplexed Diffractive Optical Network.
CoRR, 2022

All-optical image classification through unknown random diffusers using a single-pixel diffractive network.
CoRR, 2022

Super-resolution image display using diffractive decoders.
CoRR, 2022

To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects.
CoRR, 2022

Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers.
CoRR, 2022

2021
Cascadable all-optical NAND gates using diffractive networks.
CoRR, 2021

Dynamic imaging and characterization of volatile aerosols in e-cigarette emissions using deep learning-based holographic microscopy.
CoRR, 2021

Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks.
CoRR, 2021

2020
Deep learning-based holographic polarization microscopy.
CoRR, 2020

Terahertz Pulse Shaping Using Diffractive Legos.
CoRR, 2020

Machine Vision using Diffractive Spectral Encoding.
CoRR, 2020

2019
Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks.
CoRR, 2019

Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy.
CoRR, 2019

2018
Response to Comment on "All-optical machine learning using diffractive deep neural networks".
CoRR, 2018

Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks.
CoRR, 2018


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