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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 applications such as mobile augmented reality 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. ARIA: Optimizing Vision Foundation Model Inference on Heterogeneous Mobile Processors for Augmented Reality
    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%)
    🏆 Best Paper Award (2/233)
  2. Panopticus: Omnidirectional 3D Object Detection on Resource-constrained Edge Devices
    Jeho Lee, Chanyoung Jung, Jiwon Kim, Hojung Cha
    ACM International Conference on Mobile Computing and Networking (MobiCom), 2024 (Acceptance Rate: 103/494=20.8%)
  3. Vulture: Cross-Device Web Experience with Fine-Grained Graphical User Interface Distribution
    Seonghoon Park, Jeho Lee, Yonghun Choi, Hojung Cha
    IEEE Conference on Computer Communications (INFOCOM), 2024 (Acceptance Rate: 19.6%)
  4. OmniLive: Super-Resolution Enhanced 360° Video Live Streaming for Mobile Devices
    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%)
  5. Crow API: Cross-device I/O Sharing in Web Applications
    Seonghoon Park, Jeho Lee, Hojung Cha
    IEEE Conference on Computer Communications (INFOCOM), 2023 (Acceptance Rate: 19.2%)

    6. Other Publications

  6. Towards Accurate, Adaptive, and Real-time Machine Perception on Resource-constrained Platforms
    Jeho Lee
    ACM International Conference on Mobile Systems, Applications and Services, 2025 (MobiSys 2025 Rising Stars Forum)
  7. Poster: Mixture of Class-aware Experts for Efficient AIoT Inference
    Hyemin Jeong, Jeho Lee, Seunghyeok Jeon, Hojung Cha
    ACM International Conference on Mobile Systems, Applications and Services, 2025 (MobiSys 2025 Poster)

Projects

  1. Panoptic3D: Multi-view, Multi-modal Dataset for Mobile 3D Perception
    NuScenes-compatible mobile 3D perception dataset based on 360-degree camera, LiDAR, and IMU sensors
    Project Page
  2. Automatic On-browser GUI Abstraction Framework
    Browser extension-based framework for automatic web GUI abstraction through visual page section detection
    Project Page

Awards and Honors


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