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  1. Deepmon: Mobile gpu-based deep learning framework for continuous vision applications. LN Huynh, Y Lee, RK Balan. Proceedings of the 15th Annual International Conference on Mobile Systems …. , 2017. 398. 2017. Seemon: scalable and energy-efficient context monitoring framework for sensor-rich mobile environments.

  2. Contact Information. Email: youngkilee@snu.ac.kr. Phone: +82 2 880 1726. Office: Building 301, Room 413 (#301-413) Address: 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea. Research Interests. I am an associate professor in the Department of Computer Science and Engineering of Seoul National University.

  3. Publications. Conference Publications. Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network. Hyunseok Oh, Youngki Lee. ICML, July 2024 (to appear) Maestro: The Analysis-Simulation Integrated Framework for Mixed Reality. Jingyu Lee, Hyunsoo Kim, Minjae Kim, Byung-Gon Chun, Youngki Lee.

  4. View full-text. Youngki Lee's 49 research works with 1,230 citations and 9,127 reads, including: Server load and network-aware adaptive deep learning inference offloading for edge platforms.

  5. Publication Topics Return Loss,Antenna Array,Ground Plane,Radiation Pattern,Resonance Frequency,Impedance Bandwidth,Envelope Correlation Coefficient,FR4 Substrate,Frequency Band,Mobile App,Peak Gain,Split-ring Resonator,Impedance Matching,Multi-input Multi-output,Multi-input Multi-output Antenna,Multi-input Multi-output Systems,Patch Antenna,Antenna Size,Center Frequency,Compact Antenna,Cross-polarization Level,Dual Band,Dual-band Antenna,Frequency Band Of Interest,Multiple-input Multiple ...

  6. Youngki Lee. Seoul National University, Seoul, Republic of Korea, Taesik Gong. Nokia Bell Labs, Cambridge, United Kingdom, Hyung-Sin Kim. Seoul National University ...

  7. By Jon E. Froehlich. Aug 17, 2023. It was a pleasure to meet Professor Youngki Lee and his students during their visit to our lab. We discussed our work in augmented reality and computer vision as well as their new approaches to edge computing and ML. Thank you for the visit!