NN compactor: Minimizing memory and logic resources for small neural networks. - Seongmin Hong; Inho Lee 002; Yongjun Park 001 (DATE, 2018)

Automated Neural Network Accelerator Generation Framework for Multiple Neural Network Applications. - Inho Lee 002; Seongmin Hong; Giha Ryu; Yongjun Park 001 (TENCON, 2018)

Dynamic Rate Neural Acceleration Using Multiprocessing Mode Support. - Inho Lee 002; Yangki Lee; Hongjun Um; Seongmin Hong; Yongjun Park 001 (IEEE Trans. Very Large Scale Integr. Syst., 2022)

AI and Digital Twin Federation-Based Flexible Safety Control for Human-Robot Collaborative Work Cell. - Ji Dong Choi; Seung-Hwan Choi; Min Young Kim 003; Inho Lee 002; Suwoong Lee; Byeong Hak Kim (IEEE Access, 2025)

LIPCPM: A Novel Model for Anti-Sloshing and Stable Bipedal Robot Locomotion. - Hosun Kang; Jaehyung Park; Dongyoung Lee; Jungmin Lee; Inho Lee 002 (IEEE Access, 2025)

Efficient Image Super-Resolution Using Dynamic Quality Control With Recursive Model Structures. - Inho Lee 002; Jaemin Park; Seunghwan Lee; Tae Hyun Kim; Jiwon Seo 002; Hunjun Lee; Yongjun Park 001 (IEEE Access, 2025)

High-Speed Scooping Through Dynamic Manipulation: Model and Practice. - Hyeonje Cha; Inho Lee 002; Jungwon Seo (IEEE Robotics Autom. Lett., 2025)