Design and Analysis of Approximate Compressors for Balanced Error Accumulation in MAC Operator. - Gunho Park; Jaeha Kung; Youngjoo Lee (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

nuQmm: Quantized MatMul for Efficient Inference of Large-Scale Generative Language Models. - Gunho Park; Baeseong Park; Se Jung Kwon; Byeongwook Kim; Youngjoo Lee; Dongsoo Lee (CoRR, 2022)

TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning. - Eunji Yoo; Gunho Park; Jung Gyu Min; Se Jung Kwon; Baeseong Park; Dongsoo Lee; Youngjoo Lee (DAC, 2023)

Energy-Efficient RISC-V-Based Vector Processor for Cache-Aware Structurally-Pruned Transformers. - Jung Gyu Min; Dongyun Kam; Younghoon Byun; Gunho Park; Youngjoo Lee (ISLPED, 2023)

Sparsity-Aware Memory Interface Architecture using Stacked XORNet Compression for Accelerating Pruned-DNN Models. - Younghoon Byun; Seungsik Moon; Baeseong Park; Se Jung Kwon; Dongsoo Lee; Gunho Park; Eunji Yoo; Jung Gyu Min; Youngjoo Lee (MLSys, 2023)

Simplified Compressor and Encoder Designs for Low-Cost Approximate Radix-4 Booth Multiplier. - Gunho Park; Jaeha Kung; Youngjoo Lee (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models. - Gunho Park; Baeseong Park; Minsub Kim; Sungjae Lee 002; Jeonghoon Kim; Beomseok Kwon; Se Jung Kwon; Byeongwook Kim; Youngjoo Lee; Dongsoo Lee (ICLR, 2024)

Low-Power Encoder and Compressor Design for Approximate Radix-8 Booth Multiplier. - Jiwoo Kim; Gunho Park; Youngjoo Lee (ISCAS, 2024)

No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization. - June Yong Yang; Byeongwook Kim; Jeongin Bae; Beomseok Kwon; Gunho Park; Eunho Yang; Se Jung Kwon; Dongsoo Lee (CoRR, 2024)

Domain knowledge free cloud-IDS with lightweight embedding method. - Yongsik Kim; Gunho Park; Huy Kang Kim (J. Cloud Comput., 2024)

FIGLUT: An Energy-Efficient Accelerator Design for FP-INT GEMM Using Look-Up Tables. - Gunho Park; Hyeokjun Kwon; Jiwoo Kim; Jeongin Bae; Baeseong Park; Dongsoo Lee; Youngjoo Lee (HPCA, 2025)

An Investigation of FP8 Across Accelerators for LLM Inference. - Jiwoo Kim; Joonhyung Lee; Gunho Park; Byeongwook Kim; Se Jung Kwon; Dongsoo Lee; Youngjoo Lee (CoRR, 2025)

Faster Inference of LLMs using FP8 on the Intel Gaudi. - Joonhyung Lee; Shmulik Markovich-Golan; Daniel Ohayon; Yair Hanani; Gunho Park; Byeongwook Kim; Asaf Karnieli; Uri Livne; Haihao Shen; Tai Huang; Se Jung Kwon; Dongsoo Lee (CoRR, 2025)