| Specific Emitter Identification Using Convolutional Neural Network-Based IQ Imbalance Estimators LJ Wong, WC Headley, AJ Michaels IEEE Access 7, 33544-33555, 2019 | 101* | 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 | 99 | 2019 |
| 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 | 76 | 2018 |
| 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 | 48* | 2021 |
| Transfer Learning for Radio Frequency Machine Learning: A Taxonomy and Survey LJ Wong, AJ Michaels Sensors 22 (4), 1416, 2022 | 34 | 2022 |
| 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 | 15 | 2019 |
| 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 | 15 | 2018 |
| 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 | 14 | 2021 |
| A Real-World Dataset Generator for Specific Emitter Identification BP Muller, LJ Wong, WH Clark IV, AJ Michaels IEEE Access, 2023 | 5 | 2023 |
| 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 | 5 | 2019 |
| On the Use of Convolutional Neural Networks for Specific Emitter Identification LJ Wong Virginia Tech, 2018 | 5 | 2018 |
| Assessing the Value of Transfer Learning Metrics for RF Domain Adaptation LJ Wong, S McPherson, AJ Michaels arXiv preprint arXiv:2206.08329, 2022 | 4 | 2022 |
| Multinomial-Based Decision Synthesis of ML Classification Outputs AJ Michaels, LJ Wong Modeling Decisions for Artificial Intelligence: 18th International …, 2021 | 4 | 2021 |
| An Analysis of RF Transfer Learning Behavior Using Synthetic Data LJ Wong, S McPherson, AJ Michaels arXiv preprint arXiv:2210.01158, 2022 | 3 | 2022 |
| 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 | 2 | 2020 |
| Sensitivity Analysis of RFML Applications BP Muller, LJ Wong, AJ Michaels IEEE Access, 2024 | 1 | 2024 |
| 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 | 1 | 2022 |
| 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 | 1 | 2022 |
| An Analysis of Radio Frequency Transfer Learning Behavior LJ Wong, B Muller, S McPherson, AJ Michaels Machine Learning and Knowledge Extraction 6 (2), 1210-1242, 2024 | | 2024 |
| Foundations of Radio Frequency Transfer Learning LJ Wong Virginia Tech, 2024 | | 2024 |
Alan MichaelsVirginia Tech National Security Institute在 vt.edu 的电子邮件经过验证
