LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training. - Seock-Hwan Noh; Junsang Park; Dahoon Park; Jahyun Koo 002; Jeik Choi; Jaeha Kung (ICCD, 2022)

DBPS: Dynamic Block Size and Precision Scaling for Efficient DNN Training Supported by RISC-V ISA Extensions. - Seunghyun Lee; Jeik Choi; Seock-Hwan Noh; Jahyun Koo 002; Jaeha Kung (DAC, 2023)

FlexBlock: A Flexible DNN Training Accelerator With Multi-Mode Block Floating Point Support. - Seock-Hwan Noh; Jahyun Koo 002; Seunghyun Lee; Jongse Park; Jaeha Kung (IEEE Trans. Computers, 2023)

A 65nm 687.5-TOPS/W Drive Strength-based SRAM Compute-In-Memory Macro with Adaptive Dynamic Range for Edge AI applications. - Dong-gu Choi; Jaehyun Lee; Jahyun Koo 002; Woo Kyoung Han; Dahoon Park; Jaeha Kung; Junghyup Lee; Jong-Hyeok Yoon (A-SSCC, 2024)

OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models. - Jahyun Koo 002; Dahoon Park; Sangwoo Jung; Jaeha Kung (DAC, 2024)