publications

2026

1. Predicting Delay, Power, and Energy of Edge AI Inference with Ridge Regression

   Minkyu Park, Jaemin Jeong, Jiho Cho, and Jeong-Gun Lee

   In IEEE International Conference on Consumer Electronics (ICCE), 2026

   Abs Bib

   This work proposes a ridge-regression-based framework for predicting delay, power, and energy consumption of deep learning inference on edge devices, enabling rapid design-space exploration for consumer electronics such as smart cameras, wearables, XR devices, and healthcare systems.

   @inproceedings{park2026predicting,
     title = {Predicting Delay, Power, and Energy of Edge AI Inference with Ridge Regression},
     author = {Park, Minkyu and Jeong, Jaemin and Cho, Jiho and Lee, Jeong-Gun},
     booktitle = {IEEE International Conference on Consumer Electronics (ICCE)},
     year = {2026},
   }

2025

1. Performance and Energy Consumption Analysis of Deep Learning Models on Edge GPU Systems

   Minkyu Park, Hongkwon Kim, Jaemin Jeong, and Jeong-Gun Lee

   In Proceedings of the Annual Conference of KIPS, 2025

   Abs Bib

   Analysis of performance and energy consumption characteristics of deep learning models on edge GPU systems.

   @inproceedings{park2025edge,
     title = {Performance and Energy Consumption Analysis of Deep Learning Models on Edge GPU Systems},
     author = {Park, Minkyu and Kim, Hongkwon and Jeong, Jaemin and Lee, Jeong-Gun},
     booktitle = {Proceedings of the Annual Conference of KIPS},
     volume = {32},
     number = {1},
     year = {2025},
   }