Chanyoung Jung

GitHub | LinkedIn | Resume

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Hi, I’m Chanyoung Jung. Welcome to my site!

I am an M.S. student in Computer Science at Yonsei University, Seoul, South Korea, where I am a member of the Mobile Embedded Systems Lab advised by Prof. Hojung Cha. I earned my B.S. degree in Computer Science from Yonsei University in 2024, graduating with High Honors (Top 6/106).

My research focuses on Optimizing complex AI workloads on resource-constrained devices, especially On-device AI with 3D vision and vision Foundation Models (VFMs) by utilizing heterogeneous processors. I am passionate about bridging cutting-edge AI models with real-world mobile/edge enviornments.

🎓 Education

M.S. in Computer Science and Engineering
Yonsei University (2024–Present)
B.S. in Computer Science and Engineering
Yonsei University (2018–2024) — Graduated with High Honors, GPA 4.24/4.50

📰 News

Jun 25, 2025 ARIA has been awarded the Best Paper Award from MobiSys 2025! What a surprise!!
Jun 25, 2025 I attended and presented ARIA at MobiSys 2025!
Apr 04, 2025 Our work, “ARIA: Optimizing Vision Foundation Model Inference on Heterogeneous Mobile Processors for Augmented Reality”, has been accepted to MobiSys 2025! Big thanks to my co-author Jeho for the support🙇‍♂️.
Jul 06, 2024 Our work, “Panopticus: Omnidirectional 3D Object Detection on Resource-constrained Edge Devices”, has been accepted to MobiCom 2024! My first work in MOBED😊.
Jun 01, 2024 My new personal website has been released!

📚 Publications (*co-primary author)

  1. MobiSys ’25
    ARIA: Optimizing Vision Foundation Model Inference on Heterogeneous Mobile Processors for Augmented Reality
    Chanyoung Jung*, Jeho Lee*, Gunjoong Kim, and 3 more authors
    In The 23rd Annual International Conference on Mobile Systems, Applications, and Services (ACM MobiSys 2025)
    Acceptance ratio: 43/233=18.03%
  2. MobiCom ’24
    Panopticus: Omnidirectional 3D Object Detection on Resource-constrained Edge Devices
    Jeho Lee, Chanyoung Jung, Jiwon Kim, and 1 more author
    In The 30th Annual International Conference on Mobile Computing and Networking (ACM MobiCom 2024)
    Acceptance ratio: 103/494=20.85%