Satellite Based Burn Severity Mapping Using Machine Learning Approaches. - Byeongcheol Kim; Seonyoung Park; Kyungil Lee (ICEIC, 2024)

Burned-Area Mapping Using Post-Fire PlanetScope Images and a Convolutional Neural Network. - Byeongcheol Kim; Kyungil Lee; Seonyoung Park (Remote. Sens., 2024)

A 4.21 TFLOPS/W Memory-Efficient LLM Inference Accelerator with Bit-Layered Non-Uniform Quantization. - Byeongcheol Kim; Sangjin Kim; Sangwoo Ha; Soyeon Um; Kyomin Sohn; Hoi-Jun Yoo (ISCAS, 2025)

A 9.6 TOPS/W Vision Transformer Processor with Hierarchical Token Merging for Similarity-Driven Difference Computing. - Jungjun Oh; Sangjin Kim; Jiwon Choi; Byeongcheol Kim; Hoi-Jun Yoo (ISCAS, 2025)

LightRot: A Light-Weighted Rotation Scheme and Architecture for Accurate Low-Bit Large Language Model Inference. - Sangjin Kim; Yuseon Choi; Jungjun Oh; Byeongcheol Kim; Hoi-Jun Yoo (IEEE J. Emerg. Sel. Topics Circuits Syst., 2025)