Research

Publication Metadata and Citation Context

Joo Won Lee's research focuses on AI-native next-generation communication networks, with an emphasis on learning-based wireless intelligence, adaptive radio access and network control, and reliable operation under dynamic wireless environments. His current work spans AI-RAN, network foundation models, channel estimation, and wireless resource allocation.

This page provides publication metadata, citation context, and links for research across AI-enabled wireless systems, AI-native RAN, and next-generation communication networks.

Research Areas

  • AI-Native Wireless Systems
  • 5G / 6G Communication Networks
  • AI-RAN & Open Architectures
  • Network Foundation Models
  • Channel Estimation & Wireless Sensing
  • Wireless Resource Allocation & Network Control

Selected Papers

2026

2025

Parameter-Efficient Transfer Learning for DNN-based Channel Estimation: Adapter vs LoRA Comparison
Joo Won Lee, Kae Won Choi
2025 16th International Conference on Information and Communication Technology Convergence (ICTC), pp. 1531-1536, Jeju, Korea
Keywords: channel estimation, parameter-efficient transfer learning, adapter, LoRA, DNN
Best S6GC Paper Award Details IEEE Xplore
BibTeX
@inproceedings{lee2025parameterEfficientTransfer,
  title = {Parameter-Efficient Transfer Learning for {DNN}-based Channel Estimation: Adapter vs {LoRA} Comparison},
  author = {Lee, Joo Won and Choi, Kae Won},
  booktitle = {2025 16th International Conference on Information and Communication Technology Convergence ({ICTC})},
  pages = {1531--1536},
  year = {2025},
  month = oct,
  publisher = {IEEE},
  doi = {10.1109/ICTC66702.2025.11388362},
  url = {https://doi.org/10.1109/ICTC66702.2025.11388362}
}
Implementation of Adapter-Based Transfer Learning for Channel Estimation Using a Pretrained Transformer in Multi-Channel Environments
Joo Won Lee, Kae Won Choi
Proceedings of Symposium of the Korean Institute of Communications and Information Sciences, pp. 981-982, 2025 KICS Summer Conference, Jeju, Korea
Keywords: channel estimation, adapter-based transfer learning, pretrained transformer, multi-channel environments
BibTeX
@inproceedings{lee2025adapterTransferKICS,
  title = {Implementation of Adapter-Based Transfer Learning for Channel Estimation Using a Pretrained Transformer in Multi-Channel Environments},
  author = {Lee, Joo Won and Choi, Kae Won},
  booktitle = {Proceedings of Symposium of the Korean Institute of Communications and Information Sciences},
  pages = {981--982},
  year = {2025},
  month = jun,
  publisher = {Korean Institute of Communications and Information Sciences},
  address = {Jeju, Korea},
  issn = {2383-8302},
  note = {2025 KICS Summer Conference, paper 32E-6},
  url = {https://d2j16w31g89z0j.cloudfront.net/site/2025s/abs/1032-QKDHC.pdf}
}
CV will be added after the latest publication metadata is finalized.