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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.
I am an associate professor in the Department of Computer Science and Engineering of Seoul National University. I received my PhD from the computer science department of KAIST in 2013 and worked at Singapore Management University as an assistant professor until 2018.
Captivate! Contextual Language Guidance for Parent-Infant Interaction, Taeahn Kwon, Minkyung Jeong, Eon-Suk Ko, Youngki Lee, ACM CHI [Best Paper Honorable Mention], April 2022.
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.
Also published under: Younggi Lee, Yeongki Lee, Y. K. Lee Affiliation Department of Electronics and Computer Engineering, Hanyang University, Seoul, Republic of Korea
A Joint Analysis of Input Resolution and Quantization Precision in Deep Learning. Seonjun Kim, Minjae Kim, Youngki Lee. October 2023ACM MobiCom '23: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking https://doi.org/10.1145/3570361.3615753. research-article.
Youngki Lee's 21 research works with 133 citations and 917 reads, including: Bubbleu: Exploring Augmented Reality Game Design with Uncertain AI-based Interaction.
