Fixed-Point Quantization of 3D Convolutional Neural Networks for Energy-Efficient Action Recognition. - Hyunhoon Lee; Younghoon Byun; Seokha Hwang; Sunggu Lee; Youngjoo Lee (ISOCC, 2018)

Multi-level Weight Indexing Scheme for Memory-Reduced Convolutional Neural Network. - Jongmin Park; Seungsik Moon; Younghoon Byun; Sunggu Lee; Youngjoo Lee (AICAS, 2019)

FPGA-Based Sparsity-Aware CNN Accelerator for Noise-Resilient Edge-Level Image Recognition. - Seungsik Moon; Hyunhoon Lee; Younghoon Byun; Jongmin Park; Junseo Joe; Seokha Hwang; Sunggu Lee; Youngjoo Lee (A-SSCC, 2019)

Low-Complexity Dynamic Channel Scaling of Noise-Resilient CNN for Intelligent Edge Devices. - Younghoon Byun; Minho Ha; Jeonghun Kim; Sunggu Lee; Youngjoo Lee (DATE, 2019)

Selective Deep Convolutional Neural Network for Low Cost Distorted Image Classification. - Minho Ha; Younghoon Byun; Jeonghun Kim; Jaecheol Lee; Youngjoo Lee; Sunggu Lee (IEEE Access, 2019)

Memory-Reduced Network Stacking for Edge-Level CNN Architecture With Structured Weight Pruning. - Seungsik Moon; Younghoon Byun; Jongmin Park; Sunggu Lee; Youngjoo Lee (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

Approach to Improve the Performance Using Bit-level Sparsity in Neural Networks. - Yesung Kang; Eunji Kwon; Seunggyu Lee; Younghoon Byun; Youngjoo Lee; Seokhyeong Kang (DATE, 2021)

Rapid Design Space Exploration of Near-Optimal Memory-Reduced DCNN Architecture Using Multiple Model Compression Techniques. - Younghoon Byun; Youngjoo Lee (ISCAS, 2021)

Layerwise Buffer Voltage Scaling for Energy-Efficient Convolutional Neural Network. - Minho Ha; Younghoon Byun; Seungsik Moon; Youngjoo Lee; Sunggu Lee (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

CHAMP: Channel Merging Process for Cost-Efficient Highly-Pruned CNN Acceleration. - Hyeokjun Kwon; Younghoon Byun; Seokhyeong Kang; Youngjoo Lee (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

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)

Partially-Structured Transformer Pruning with Patch-Limited XOR-Gate Compression for Stall-Free Sparse-Model Access. - Younghoon Byun; Youngjoo Lee (DAC, 2024)