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Lauren J. Wong
Lauren J. Wong
Research Scientist AI/ML, Intel Corporation
Verified email at intel.com
Title
Cited by
Cited by
Year
Specific Emitter Identification Using Convolutional Neural Network-Based IQ Imbalance Estimators
LJ Wong, WC Headley, AJ Michaels
IEEE Access 7, 33544-33555, 2019
97*2019
Groundwork for neural network-based specific emitter identification authentication for IoT
JM McGinthy, LJ Wong, AJ Michaels
IEEE Internet of Things Journal 6 (4), 6429-6440, 2019
932019
Clustering Learned CNN Features from Raw I/Q Data for Emitter Identification
LJ Wong, WC Headley, S Andrews, RM Gerdes, AJ Michaels
MILCOM 2018-2018 IEEE Military Communications Conference (MILCOM), 26-33, 2018
732018
An RFML Ecosystem: Considerations for the Application of Deep Learning to Spectrum Situational Awareness
LJ Wong, WH Clark, B Flowers, RM Buehrer, WC Headley, AJ Michaels
IEEE Open Journal of the Communications Society 2, 2243-2264, 2021
40*2021
Transfer Learning for Radio Frequency Machine Learning: A Taxonomy and Survey
LJ Wong, AJ Michaels
Sensors 22 (4), 1416, 2022
272022
Estimation of transmitter I/Q imbalance using convolutional neural networks
LJ Wong, WC Headley, AJ Michaels
2018 IEEE 8th Annual Computing and Communication Workshop and Conference …, 2018
152018
Developing RFML Intuition: An Automatic Modulation Classification Architecture Case Study
WH Clark, V Arndorfer, B Tamir, D Kim, C Vives, H Morris, L Wong, ...
MILCOM 2019-2019 IEEE Military Communications Conference (MILCOM), 292-298, 2019
132019
Explainable Neural Network-based Modulation Classification via Concept Bottleneck Models
LJ Wong, S McPherson
2021 IEEE 11th Annual Computing and Communication Workshop and Conference …, 2021
122021
Distributed Automatic Modulation Classification with Compressed Data
LJ Wong, P White, M Fowler, WC Headley
MILCOM 2019-2019 IEEE Military Communications Conference (MILCOM), 299-304, 2019
52019
On the Use of Convolutional Neural Networks for Specific Emitter Identification
LJ Wong
Virginia Tech, 2018
52018
Assessing the Value of Transfer Learning Metrics for RF Domain Adaptation
LJ Wong, S McPherson, AJ Michaels
arXiv preprint arXiv:2206.08329, 2022
42022
An Analysis of RF Transfer Learning Behavior Using Synthetic Data
LJ Wong, S McPherson, AJ Michaels
arXiv preprint arXiv:2210.01158, 2022
22022
Classification of radio signals using truncated Gaussian discriminant analysis of convolutional neural network-derived features
JB Persons, LJ Wong, MO Moore, WC Headley, MC Fowler
MILCOM 2022-2022 IEEE Military Communications Conference (MILCOM), 304-310, 2022
12022
Resilience Improvements for Space-Based Radio Frequency Machine Learning
LJ Wong, E Altland, J Detwiler, P Fermin, JM Kuzin, N Moeliono, ...
2020 International Symposium on Networks, Computers and Communications …, 2020
12020
Foundations of Radio Frequency Transfer Learning
LJ Wong
Virginia Tech, 2024
2024
A Real-World Dataset Generator for Specific Emitter Identification
BP Muller, LJ Wong, WH Clark IV, AJ Michaels
IEEE Access, 2023
2023
Quantifying Raw RF Dataset Similarity for Transfer Learning Applications
LJ Wong, S McPherson, AJ Michaels
IEEE Open Journal of the Communications Society 3, 2076-2086, 2022
2022
Multinomial-Based Decision Synthesis of ML Classification Outputs
AJ Michaels, LJ Wong
Modeling Decisions for Artificial Intelligence: 18th International …, 2021
2021
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