FlexLearn: Fast and Highly Efficient Brain Simulations Using Flexible On-Chip Learning. - Eunjin Baek; Hunjun Lee; Youngsok Kim; Jangwoo Kim (MICRO, 2019)

NeuroEngine: a hardware-based event-driven simulation system for advanced brain-inspired computing. - Hunjun Lee; Chanmyeong Kim; Yujin Chung; Jangwoo Kim (ASPLOS, 2021)

UC-Check: Characterizing Micro-operation Caches in x86 Processors and Implications in Security and Performance. - Joonsung Kim; Hamin Jang; Hunjun Lee; Seungho Lee; Jangwoo Kim (MICRO, 2021)

An accurate and fair evaluation methodology for SNN-based inferencing with full-stack hardware design space explorations. - Hunjun Lee; Chanmyeong Kim; Seungho Lee; Eunjin Baek; Jangwoo Kim (Neurocomputing, 2021)

NeuroSync: A Scalable and Accurate Brain Simulator Using Safe and Efficient Speculation. - Hunjun Lee; Chanmyeong Kim; Minseop Kim; Yujin Chung; Jangwoo Kim (HPCA, 2022)

3D-FPIM: An Extreme Energy-Efficient DNN Acceleration System Using 3D NAND Flash-Based In-Situ PIM Unit. - Hunjun Lee; Minseop Kim; Dongmoon Min; Joonsung Kim; Jongwon Back; Honam Yoo; Jong-Ho Lee 002; Jangwoo Kim (MICRO, 2022)

Rearchitecting a Neuromorphic Processor for Spike-Driven Brain-Computer Interfacing. - Hunjun Lee; Yeongwoo Jang; Daye Jung; Seunghyun Song; Jangwoo Kim (MICRO, 2024)

InfiniMind: A Learning-Optimized Large-Scale Brain-Computer Interface. - Yeongwoo Jang; Daye Jung; Seunghyun Song; Hunjun Lee; Jangwoo Kim (ISCA, 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)