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ORCIDYounghoon Byun
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- affiliation: Pohang University of Science and Technology, South Korea
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2020 – today
- 2024
[c9]Younghoon Byun, Youngjoo Lee:
Partially-Structured Transformer Pruning with Patch-Limited XOR-Gate Compression for Stall-Free Sparse-Model Access. DAC 2024: 123:1-123:6- 2023
- [c8]Jung Gyu Min, Dongyun Kam, Younghoon Byun
, Gunho Park, Youngjoo Lee:
Energy-Efficient RISC-V-Based Vector Processor for Cache-Aware Structurally-Pruned Transformers. ISLPED 2023: 1-6 - [c7]Younghoon Byun, Seungsik Moon, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Gunho Park, Eunji Yoo, Jung Gyu Min, Youngjoo Lee:
Sparsity-Aware Memory Interface Architecture using Stacked XORNet Compression for Accelerating Pruned-DNN Models. MLSys 2023 - 2022
- [j4]Hyeokjun Kwon, Younghoon Byun, Seokhyeong Kang, Youngjoo Lee:
CHAMP: Channel Merging Process for Cost-Efficient Highly-Pruned CNN Acceleration. IEEE Trans. Circuits Syst. I Regul. Pap. 69(8): 3308-3319 (2022) - 2021
- [j3]Minho Ha, Younghoon Byun, Seungsik Moon, Youngjoo Lee, Sunggu Lee:
Layerwise Buffer Voltage Scaling for Energy-Efficient Convolutional Neural Network. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(1): 1-10 (2021) - [c6]Yesung Kang, Eunji Kwon, Seunggyu Lee, Younghoon Byun, Youngjoo Lee, Seokhyeong Kang:
Approach to Improve the Performance Using Bit-level Sparsity in Neural Networks. DATE 2021: 1516-1521 - [c5]Younghoon Byun, Youngjoo Lee:
Rapid Design Space Exploration of Near-Optimal Memory-Reduced DCNN Architecture Using Multiple Model Compression Techniques. ISCAS 2021: 1-5
2010 – 2019
- 2019
- [j2]Minho Ha, Younghoon Byun, Jeonghun Kim, Jaecheol Lee, Youngjoo Lee, Sunggu Lee:
Selective Deep Convolutional Neural Network for Low Cost Distorted Image Classification. IEEE Access 7: 133030-133042 (2019) - [j1]Seungsik Moon, Younghoon Byun, Jongmin Park, Sunggu Lee, Youngjoo Lee:
Memory-Reduced Network Stacking for Edge-Level CNN Architecture With Structured Weight Pruning. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(4): 735-746 (2019) - [c4]Jongmin Park, Seungsik Moon, Younghoon Byun, Sunggu Lee, Youngjoo Lee:
Multi-level Weight Indexing Scheme for Memory-Reduced Convolutional Neural Network. AICAS 2019: 284-287 - [c3]Seungsik Moon, Hyunhoon Lee, Younghoon Byun, Jongmin Park, Junseo Joe, Seokha Hwang, Sunggu Lee, Youngjoo Lee:
FPGA-Based Sparsity-Aware CNN Accelerator for Noise-Resilient Edge-Level Image Recognition. A-SSCC 2019: 205-208 - [c2]Younghoon Byun, Minho Ha, Jeonghun Kim, Sunggu Lee, Youngjoo Lee:
Low-Complexity Dynamic Channel Scaling of Noise-Resilient CNN for Intelligent Edge Devices. DATE 2019: 114-119 - 2018
- [c1]Hyunhoon Lee, Younghoon Byun, Seokha Hwang, Sunggu Lee, Youngjoo Lee:
Fixed-Point Quantization of 3D Convolutional Neural Networks for Energy-Efficient Action Recognition. ISOCC 2018: 129-130
Coauthor Index
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