Design of a Low-Power BLE5-Based Wearable Device for Tracking Movements of Football Players. - Hyunsung Kim 003; Juin Lim; Wonbin Hong; Joonho Park; Young-Seok Kim; Mijung Kim; Youngjoo Lee (ISOCC, 2019)

Energy-Efficient Wearable EPTS Device Using On-Device DCNN Processing for Football Activity Classification. - Hyunsung Kim 003; Jaehee Kim; Young-Seok Kim; Mijung Kim; Youngjoo Lee (Sensors, 2020)

Utilizing Energy-Quality Trade-Off for Low-Cost ML-Based Compressive Sensing Reconstruction. - Hyunsung Kim 003; Youngjoo Lee (ACSCC, 2021)

Energy-Efficient Intelligent EPTS Device using Novel DCNN-Based Dynamic Sensor Activation. - Hyunsung Kim 003; Jaehee Kim; Young-Seok Kim; Mijung Kim; Youngjoo Lee (AICAS, 2021)

LightTrader : World's first AI-enabled High-Frequency Trading Solution with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators. - Hyunsung Kim 003; Sungyeob Yoo; Jaewan Bae; Kyeongryeol Bong; Yoonho Boo; Karim Charfi; Hyo-Eun Kim; Hyun Suk Kim; Jinseok Kim 006; Byungjae Lee; Jaehwan Lee; Myeongbo Shim; et al. (HCS, 2022)

LightTrader: A Standalone High-Frequency Trading System with Deep Learning Inference Accelerators and Proactive Scheduler. - Sungyeob Yoo; Hyunsung Kim 003; Jinseok Kim 006; Sunghyun Park; Joo-Young Kim 001; Jinwook Oh (HPCA, 2023)

2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications. - Chang-Hyo Yu; Hyo-Eun Kim; Sungho Shin; Kyeongryeol Bong; Hyunsuk Kim; Yoonho Boo; Jaewan Bae; Minjae Kwon; Karim Charfi; Jinseok Kim 006; Hongyun Kim; Myeongbo Shim; et al. (ISSCC, 2024)