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

Oct 29, 2024 Our paper titled “Generative vs. Predictive Models in Massive MIMO Channel Prediction” has been accepted and presented at Asilomar2024..
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.
Apr 19, 2024 I’ve served on the Technical Committee for the IEEE ICASSP2024 RMA (Radio Maps and Their Applications Workshop).
Feb 29, 2024 I’ve been appointed to the TPC for the IEEE Globecom2024 MLC (Machine Learning for Communications) track.
Jan 23, 2024 I’ve had the opportunity to collaborate on-site with the SMI team at Samsung Research America (SRA) in Dallas, Texas, on Low-Complexity Generative Model-based Channel Prediction for mMIMO Systems.

selected publications

  1. pmnet_overview.jpg
    A Scalable and Generalizable Pathloss Map Prediction
    Ju-Hyung Lee*, and Andreas F. Molisch
    IEEE Trans. Wireless Commun., 2024
  2. 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
  3. 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
  4. generative_overview.jpg
    Generative vs. Predictive Models in Massive MIMO Channel Prediction
    Ju-Hyung Lee*, Joohan Lee , and Andreas F. Molisch
    Asilomar, 2024