Hanju Yoo

E-mail / Github / LinkedIn

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I am a Ph.D. student researching for deep learning for communications and information theory for deep learning 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. Bridging the Gap Between Neural Networks and Wireless Systems for 6G Semantic Communications
    Hanju Yoo, Dongha Choi, Yonghwi Kim, Yoontae Kim, Songkuk Kim, and Chan-Byoung Chae
    Submitted, 2024
  2. A State-of-the-Art Survey on Full-Duplex Network Design
    Yonghwi Kim, Hyung-Joo Moon, Hanju Yoo, Byoungnam Kim, Kai-Kit Wong, and Chan-Byoung Chae
    Proc. IEEE, Feb 2024
  3. 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
  4. 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