PPT-KP: Pruning Point Training-based Kernel Pruning for Deep Convolutional Neural Networks. - Kwanghyun Koo; Hyun Kim 001 (AICAS, 2023)

V-SKP: Vectorized Kernel-Based Structured Kernel Pruning for Accelerating Deep Convolutional Neural Networks. - Kwanghyun Koo; Hyun Kim 001 (IEEE Access, 2023)

Extreme Pruning Technique Based on Filter Deactivation Using Sparsity Training for Deep Convolutional Neural Networks. - Kwanghyun Koo; Hyun Kim 001 (ICEIC, 2024)

FB-SKP: Front-Back Structured Kernel Pruning via Group Convolution without Increasing Memory. - Kwanghyun Koo; Hyun Kim 001 (ISOCC, 2024)

Vision transformer models for mobile/edge devices: a survey. - Seung Il Lee; Kwanghyun Koo; Jong Ho Lee; Gilha Lee; Sangbeom Jeong; Seongjun O; Hyun Kim 001 (Multim. Syst., 2024)

GASQ: Hardware-Friendly Gradient Distribution-Aware Split Quantization for Low-Bit CNN Training. - Sangbeom Jeong; Kwanghyun Koo; Hyun Kim 001 (ICEIC, 2025)