Hanju Yoo

E-mail / Github / LinkedIn

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I am a Ph.D. student researching for semantic communications, information theory for deep learning, and wireless system prototyping at the Intelligence Networking Lab., Yonsei University, Korea. Before joining the lab, I earned a B.E. from the School of Integrated Technology at Yonsei University, graduating with the highest honors. My research interest includes semantic communications, learned image compression, and computer vision. I was an exhibitor at CES 2023 on behalf of Yonsei University, and am a recipient of the 2022 Qualcomm IT Tour Program. Committed to community engagement, I have served as a teaching assistant for three years and have two years of student council experience. I also love to solve real-world problems by creating automated, sustainable, and systematic solutions.

selected publications

  1. Symbol Distributions in Semantic Communications: Balancing Mutual Information and Codelength
    Hanju Yoo, Dongha Choi, Songkuk Kim, and Chan-Byoung Chae
    Submitted, 2025
  2. Site-Specific Beam Alignment without Explicit Channel Knowledge via Deep Learning
    Jongwoo Kwak†, Hanju Yoo†, Ian P. Roberts, and Chan-Byoung Chae
    Submitted, 2025
    † = equal contribution
  3. Bridging Neural Networks And Wireless Systems with MIMO-OFDM Semantic Communications
    Hanju Yoo, Dongha Choi, Yonghwi Kim, Yoontae Kim, Songkuk Kim, Chan-Byoung Chae, and Robert W. Heath
    IEEE Wireless Communications, Sep 2025
  4. Demo: Real-Time Semantic Communications with a Vision Transformer
    Hanju Yoo, Taehun Jung, Linglong Dai, Songkuk Kim, and Chan-Byoung Chae
    In Proc. IEEE Int. Conf. Commun. Workshops (ICC WKSHPS), May 2022
  5. On the Role of ViT and CNN in Semantic Communications: Analysis and Prototype Validation
    Hanju Yoo, Linglong Dai, Songkuk Kim, and Chan-Byoung Chae
    IEEE Access, Jul 2023