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Jeho Lee

Ph.D. Student
Yonsei University
jeholee (at) yonsei.ac.kr


About Me

I am a Ph.D. student at Yonsei University, working under the supervision of Prof. Hojung Cha. My research focuses on building real-time, on-device vision AI systems for mobile and edge platforms, enabling next-generation spatial computing applications such as AR/XR and autonomous systems. My core research interests include:

To address the challenges of accelerating deep vision models on resource-constrained platforms, I take the following approaches:

News

Publications

    * Co-first author

    Conference and Journal

  1. Jeho Lee*, Chanyoung Jung*, Gunjoong Kim, Jiwon Kim, Seonghoon Park, Hojung Cha
    ACM International Conference on Mobile Systems, Applications and Services (MobiSys), 2025 (Acceptance Rate: 42/233=18.0%)
  2. Seonghoon Park, Jiwon Kim, Jeho Lee, Hojung Cha
    ACM SIGBED International Conference on Embedded Software (EMSOFT), 2025
  3. Jiwon Kim, Geon Kim, Jeho Lee, Thiemo Voigt, Hojung Cha
    ACM SIGBED International Conference on Embedded Software (EMSOFT), 2025
  4. Jeho Lee, Chanyoung Jung, Jiwon Kim, Hojung Cha
    ACM International Conference on Mobile Computing and Networking (MobiCom), 2024 (Acceptance Rate: 103/494=20.8%)
  5. Seonghoon Park, Jeho Lee, Yonghun Choi, Hojung Cha
    IEEE Conference on Computer Communications (INFOCOM), 2024 (Acceptance Rate: 19.6%)
  6. Seonghoon Park, Yeonwoo Cho, Hyungchol Jun, Jeho Lee, Hojung Cha
    ACM International Conference on Mobile Systems, Applications and Services (MobiSys), 2023 (Acceptance Rate: 41/198=20.7%)
  7. Seonghoon Park, Jeho Lee, Hojung Cha
    IEEE Conference on Computer Communications (INFOCOM), 2023 (Acceptance Rate: 19.2%)
  8. Other Publications

  9. Jeho Lee
    ACM International Conference on Mobile Systems, Applications and Services, 2025 (MobiSys 2025 Rising Stars Forum)
  10. Hyemin Jeong, Jeho Lee, Seunghyeok Jeon, Hojung Cha
    ACM International Conference on Mobile Systems, Applications and Services, 2025 (MobiSys 2025 Poster)

Awards and Honors

Projects

  1. NuScenes-compatible mobile 3D perception dataset based on 360-degree camera, LiDAR, and IMU sensors
  2. Browser extension-based framework for automatic web GUI abstraction through visual page section detection

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