Lauren J. Wong

18 papers B 1C 1Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
An Analysis of Radio Frequency Transfer Learning Behavior.
Mach. Learn. Knowl. Extr.
Lauren J. Wong, Braeden P. Muller, Sean McPherson, Alan J. Michaels
2024 J jnl
Assessing the Value of Transfer Learning Metrics for Radio Frequency Domain Adaptation.
Mach. Learn. Knowl. Extr.
Lauren J. Wong, Braeden P. Muller, Sean McPherson, Alan J. Michaels
2024 J jnl
Sensitivity Analysis of RFML Applications.
IEEE Access
Braeden P. Muller, Lauren J. Wong, Alan J. Michaels
2024 J jnl
Transferring Learned Behaviors between Similar and Different Radios.
Sensors
Braeden P. Muller, Brennan E. Olds, Lauren J. Wong, Alan J. Michaels
2023 J jnl
A Real-World Dataset Generator for Specific Emitter Identification.
IEEE Access
Braeden P. Muller, Lauren J. Wong, William H. Clark, Alan J. Michaels
2022 — conf
Classification of Radio Signals Using Truncated Gaussian Discriminant Analysis of Convolutional Neural Network-Derived Features.
MILCOM
J. B. Persons, Lauren J. Wong, Megan O. Moore, William C. Headley, Michael Fowler
2022 J jnl
Quantifying Raw RF Dataset Similarity for Transfer Learning Applications.
IEEE Open J. Commun. Soc.
Lauren J. Wong, Sean McPherson, Alan J. Michaels
2022 J jnl
Transfer Learning for Radio Frequency Machine Learning: A Taxonomy and Survey.
Sensors
Lauren J. Wong, Alan J. Michaels
2021 J jnl
An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness.
IEEE Open J. Commun. Soc.
Lauren J. Wong, William H. Clark, Bryse Flowers, R. Michael Buehrer, William C. Headley, Alan J. Michaels
2021 — conf
Explainable Neural Network-based Modulation Classification via Concept Bottleneck Models.
CCWC
Lauren J. Wong, Sean McPherson
2021 B conf
Multinomial-Based Decision Synthesis of ML Classification Outputs.
MDAI
Alan J. Michaels, Lauren J. Wong
2020 C conf
Resilience Improvements for Space-Based Radio Frequency Machine Learning.
ISNCC
Lauren J. Wong, Emily Altland, Joshua Detwiler, Paolo Fermin, Julia Mahon Kuzin, Nathan Moeliono, Abdelrahman Said Abdalla, William C. Headley, Alan J. Michaels
2019 — conf
Developing RFML Intuition: An Automatic Modulation Classification Architecture Case Study.
MILCOM
William H. Clark, Vanessa Arndorfer, Brook Tamir, Daniel Kim, Cristian Vives, Hunter Morris, Lauren J. Wong, William C. Headley
2019 — conf
Distributed Automatic Modulation Classification with Compressed Data.
MILCOM
Lauren J. Wong, Parker D. White, Michael Fowler, William C. Headley
2019 J jnl
Groundwork for Neural Network-Based Specific Emitter Identification Authentication for IoT.
IEEE Internet Things J.
Jason M. McGinthy, Lauren J. Wong, Alan J. Michaels
2019 J jnl
Specific Emitter Identification Using Convolutional Neural Network-Based IQ Imbalance Estimators.
IEEE Access
Lauren J. Wong, William C. Headley, Alan J. Michaels
2018 — conf
Clustering Learned CNN Features from Raw I/Q Data for Emitter Identification.
MILCOM
Lauren J. Wong, William C. Headley, Seth Andrews, Ryan M. Gerdes, Alan J. Michaels
2018 — conf
Estimation of transmitter I/Q imbalance using convolutional neural networks.
CCWC
Lauren J. Wong, William C. Headley, Alan J. Michaels