Younghoon Byun

According to our database, Younghoon Byun authored at least 11 papers between 2018 and 2023.

Collaborative distances:

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

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

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

2022

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

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

Rapid Design Space Exploration of Near-Optimal Memory-Reduced DCNN Architecture Using Multiple Model Compression Techniques.

Younghoon Byun, Youngjoo Lee

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Approach to Improve the Performance Using Bit-level Sparsity in Neural Networks.

Yesung Kang, Eunji Kwon, Seunggyu Lee, Younghoon Byun, Youngjoo Lee, Seokhyeong Kang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

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

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

Low-Complexity Dynamic Channel Scaling of Noise-Resilient CNN for Intelligent Edge Devices.

Younghoon Byun, Minho Ha, Jeonghun Kim, Sunggu Lee, Youngjoo Lee

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 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

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2019

Multi-level Weight Indexing Scheme for Memory-Reduced Convolutional Neural Network.

Jongmin Park, Seungsik Moon, Younghoon Byun, Sunggu Lee, Youngjoo Lee

Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

2018

Fixed-Point Quantization of 3D Convolutional Neural Networks for Energy-Efficient Action Recognition.

Hyunhoon Lee, Younghoon Byun, Seokha Hwang, Sunggu Lee, Youngjoo Lee

Proceedings of the International SoC Design Conference, 2018