Lauren J. Wong

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Convolutional Neural Network

Top Venues

Publications

Lauren J. Wong, Braeden P. Muller, Sean McPherson, Alan J. Michaels
An Analysis of Radio Frequency Transfer Learning Behavior. Mach. Learn. Knowl. Extr. 6 (2) (2024)
Braeden P. Muller, Lauren J. Wong, Alan J. Michaels
Sensitivity Analysis of RFML Applications. IEEE Access 12 (2024)
Braeden P. Muller, Brennan E. Olds, Lauren J. Wong, Alan J. Michaels
Transferring Learned Behaviors between Similar and Different Radios. Sensors 24 (11) (2024)
Braeden P. Muller, Lauren J. Wong, William H. Clark, Alan J. Michaels
A Real-World Dataset Generator for Specific Emitter Identification. IEEE Access 11 (2023)
Lauren J. Wong, Sean McPherson, Alan J. Michaels
Quantifying Raw RF Dataset Similarity for Transfer Learning Applications. IEEE Open J. Commun. Soc. 3 (2022)
Lauren J. Wong, Alan J. Michaels
Transfer Learning for Radio Frequency Machine Learning: A Taxonomy and Survey. Sensors 22 (4) (2022)
J. B. Persons, Lauren J. Wong, Megan O. Moore, William C. Headley, Michael Fowler
Classification of Radio Signals Using Truncated Gaussian Discriminant Analysis of Convolutional Neural Network-Derived Features. MILCOM (2022)
Lauren J. Wong, Sean McPherson
Explainable Neural Network-based Modulation Classification via Concept Bottleneck Models. CCWC (2021)
Lauren J. Wong, William H. Clark, Bryse Flowers, R. Michael Buehrer, William C. Headley, Alan J. Michaels
An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness. IEEE Open J. Commun. Soc. 2 (2021)
Alan J. Michaels, Lauren J. Wong
Multinomial-Based Decision Synthesis of ML Classification Outputs. MDAI (2021)
Lauren J. Wong, Emily Altland, Joshua Detwiler, Paolo Fermin, Julia Mahon Kuzin, Nathan Moeliono, Abdelrahman Said Abdalla, William C. Headley, Alan J. Michaels
Resilience Improvements for Space-Based Radio Frequency Machine Learning. ISNCC (2020)
Jason M. McGinthy, Lauren J. Wong, Alan J. Michaels
Groundwork for Neural Network-Based Specific Emitter Identification Authentication for IoT. IEEE Internet Things J. 6 (4) (2019)
William H. Clark, Vanessa Arndorfer, Brook Tamir, Daniel Kim, Cristian Vives, Hunter Morris, Lauren J. Wong, William C. Headley
Developing RFML Intuition: An Automatic Modulation Classification Architecture Case Study. MILCOM (2019)
Lauren J. Wong, William C. Headley, Alan J. Michaels
Specific Emitter Identification Using Convolutional Neural Network-Based IQ Imbalance Estimators. IEEE Access 7 (2019)
Lauren J. Wong, Parker D. White, Michael Fowler, William C. Headley
Distributed Automatic Modulation Classification with Compressed Data. MILCOM (2019)
Lauren J. Wong, William C. Headley, Seth Andrews, Ryan M. Gerdes, Alan J. Michaels
Clustering Learned CNN Features from Raw I/Q Data for Emitter Identification. MILCOM (2018)
Lauren J. Wong, William C. Headley, Alan J. Michaels
Estimation of transmitter I/Q imbalance using convolutional neural networks. CCWC (2018)