Kwanghyun Koo

According to our database, Kwanghyun Koo authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

GASQ: Hardware-Friendly Gradient Distribution-Aware Split Quantization for Low-Bit CNN Training.

Sangbeom Jeong, Kwanghyun Koo, Hyun Kim

Proceedings of the International Conference on Electronics, Information, and Communication, 2025

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

Multim. Syst., April, 2024

FB-SKP: Front-Back Structured Kernel Pruning via Group Convolution without Increasing Memory.

Kwanghyun Koo, Hyun Kim

Proceedings of the 21st International SoC Design Conference, 2024

Extreme Pruning Technique Based on Filter Deactivation Using Sparsity Training for Deep Convolutional Neural Networks.

Kwanghyun Koo, Hyun Kim

Proceedings of the International Conference on Electronics, Information, and Communication, 2024

2023

V-SKP: Vectorized Kernel-Based Structured Kernel Pruning for Accelerating Deep Convolutional Neural Networks.

Kwanghyun Koo, Hyun Kim

IEEE Access, 2023

PPT-KP: Pruning Point Training-based Kernel Pruning for Deep Convolutional Neural Networks.

Kwanghyun Koo, Hyun Kim

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023