Juhyung Lee

Sunnyvale, California, USA

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I am a Principal Researcher, AI/ML, at Nokia, Sunnyvale, USA, where I focus on applying AI & GenAI solutions for WiFi.

Previously, I was a Postdoctoral Researcher at the University of Southern California, Los Angeles, USA, advised by Prof. Andreas F. Molisch, and a Research Professor at Korea University, Seoul, Korea, where I received my PhD, advised by Prof. Young-Chai Ko.

I’ve been recognized with prestigious awards, including 1st-Rank in ML competition, Best Paper awards at key IEEE conferences, and the Grand Prize for research excellence from Korea University.

My research interests include:

  • GenAI Solutions for Wireless Communication Systems
  • On-Device AI/LLM

news

Jun 11, 2025 Our paper, On-Device LLM for Context-Aware Wi-Fi Roaming, has been accepted for presentation at the ICML2025.
Jun 10, 2025 Our paper, AutoBS: Autonomous Base Station Deployment with Reinforcement Learning and Digital Network Twins, has been accepted at the ICML2025.
Apr 04, 2025 Our paper titled “Generative vs. Predictive Models in Massive MIMO Channel Prediction” has been presented and published at Asilomar2024.
Feb 02, 2025 I’ve been appointed to the TPC for the IEEE Globecom2025 MLCN (Machine Learning for Communications and Networking) track.
Sep 17, 2024 Our paper titled “A Scalable and Generalizable Pathloss Map Prediction” has been accepted and published in the IEEE TWC.
Sep 09, 2024 Our paper titled “Integrating Pre-Trained Language Model with Physical Layer Communications” has been accepted and published in the IEEE TWC.

selected publications

  1. overview_cho.jpg
    On-Device LLM for Context-Aware Wi-Fi Roaming
    Ju-Hyung Lee, Yanqing Lu , and Klaus Doppler
    ICML, 2025
  2. overview_autobs.jpg
    AutoBS: Autonomous Base Station Deployment with Reinforcement Learning and Digital Network Twins
    Ju-Hyung Lee*, and Andreas F. Molisch
    ICML, 2025
  3. ondeviceai_overview.jpg
    Integrating Pre-Trained Language Model with Physical Layer Communications
    Ju-Hyung Lee*, Dong-Ho Lee , Joohan Lee , and 1 more author
    IEEE Trans. Wireless Commun., 2024
  4. pmnet_overview.jpg
    A Scalable and Generalizable Pathloss Map Prediction
    Ju-Hyung Lee*, and Andreas F. Molisch
    IEEE Trans. Wireless Commun., 2024
  5. dho_proposed.jpg
    Handover Protocol Learning for LEO Satellite Networks: Access Delay and Collision Minimization
    Ju-Hyung Lee*Andreas F. Molisch, and  et al.
    IEEE Trans. Wireless Commun., 2024