Research Interest
- AI-native Communication
- Semantic/Token-based Communication
- AI for Integrated Sensing and Communication (ISAC)
- Federated Learning
- Upper Mid-Band
- AI-based Channel Extrapolation
- Low-complexity Spectrum Sensing
[Journal]
[In preparation]
[J6] Yongjun Kim, A. Rasteh, S. Rangan, and J. Choi, "Computationally Efficient Upper Mid-Band Spectrum Sensing with an Arbitrary Number of Signals", in preparation.
[J5] K. Park, H. Choi, G. Han, G. Lee, M. Kim, B. Ko, J. Yang, Yongjun Kim, H. Park, H. Lee, H. Kim, and J. Choi, "Massive MIMO in the 6G Era: Integrating Standards, Implementation, and Visions", in preparation.
[J4] Yongjun Kim, H. Choi, and J. Choi, "Ray-Tracing Channel-based 3D Radar Imaging in OFDM ISAC Systems," in preparation.
[Submitted / Under revision]
[J3] Yongjun Kim, H. Park, H. Kim, and J. Choi, "Hybrid Federated Learning for Noise-Robust Training," submitted to IEEE Wireless Communications Letters (WCL), 2026.
[J2] B. Ko, G. Lee, Yongjun Kim, and J. Choi, "Channel Estimation for mmWave Systems via Deep Generative Compressed Sensing," submitted to IEEE Transactions on Wireless Communications (TWC), 2025.
[Accepted/Published]
[J1] Yongjun Kim, J. Park, M. Bennis, and J. Choi, "Resilient LLM-Empowered Token-based MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation," in IEEE Journal on Selected Areas in Communications, vol. 44, pp. 2701-2717, 2026
[Conference]
[In preparation]
[C4] Yongjun Kim, A.Dhananjay, S. Rangan, and J. Choi, "Self-Calibration Tranceiver and Algorithm for Software-Defined Radio", in preparation.
[Submitted / Under revision]
[Accepted/Published]
[C3] B. Ko, G. Lee, Yongjun Kim, and J. Choi, "Generative Model-Based Compressed Sensing For mmWave Channel Estimation Through Sequential Path Reconstruction", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026.
[C2] Yongjun Kim, S. Seo, J. Park, M. Bennis, S. L. Kim, and J. Choi, "Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote Control", IEEE International Conference on Communication (ICC), 2024.
[C1] Yongjun Kim, J. Lee, J. Kim, H. Joo, H W. Je, and J. Lee, "Channel State Feedback with Neural Networks: A Discrete Representation Learning Approach", IEEE Global Communications Conference (GLOBECOM) Workshop, 2022.