Yeonhong Park

According to our database, Yeonhong Park authored at least 23 papers between 2020 and 2026.

Collaborative distances:

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

2026

MAGE: All-[MASK] Block Already Knows Where to Look in Diffusion LLM.

Omin Kwon, Yeonjae Kim, Doyeon Kim, Minseo Kim, Yeonhong Park, Jae W. Lee

CoRR, February, 2026

MemSOS: OS-Guided Selective Memory Mirroring.

Junghoon Kim, Jongheon Jeong, Seokwon Moon, Seong Hoon Seo, Yeonhong Park, Jinkyu Jeong, Nam Sung Kim, Jae W. Lee

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

2025

NestedFP: High-Performance, Memory-Efficient Dual-Precision Floating Point Support for LLMs.

Haeun Lee, Omin Kwon, Yeonhong Park, Jae W. Lee

CoRR, June, 2025

AiDE: Attention-FFN Disaggregated Execution for Cost-Effective LLM Decoding on CXL-PNM.

Kyungsoo Kim, Omin Kwon, Yeonhong Park, Jae W. Lee

IEEE Comput. Archit. Lett., 2025

DecDEC: A Systems Approach to Advancing Low-Bit LLM Quantization.

Yeonhong Park, Jake Hyun, Hojoon Kim, Jae W. Lee

Proceedings of the 19th USENIX Symposium on Operating Systems Design and Implementation, 2025

DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment.

Sangwoo Kwon, Seong Hoon Seo, Jae W. Lee, Yeonhong Park

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic Potentials.

Seung Yul Lee, Hojoon Kim, Yutack Park, Dawoon Jeong, Seungwu Han, Yeonhong Park, Jae W. Lee

Proceedings of the Forty-second International Conference on Machine Learning, 2025

GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance.

Jinuk Kim, Marwa El Halabi, Wonpyo Park, Clemens J. S. Schaefer, Deokjae Lee, Yeonhong Park, Jae W. Lee, Hyun Oh Song

Proceedings of the Forty-second International Conference on Machine Learning, 2025

FACIL: Flexible DRAM Address Mapping for SoC-PIM Cooperative On-device LLM Inference.

Seong Hoon Seo, Junghoon Kim, Donghyun Lee, Seonah Yoo, Seokwon Moon, Yeonhong Park, Jae W. Lee

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

InstANNS: Scalable Approximate Nearest Neighbor Search via Cost-Efficient In-Storage Processing.

Bonggeun Sim, Yushin Kim, Minseo Kim, Yeonhong Park, Jae W. Lee

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

CPC: Coordinated Page Cache for Serverless Computing.

Keun Soo Lim, Yunjay Hong, Jongheon Jeong, Sam Son, Donguk Kim, Yeonhong Park, Jae W. Lee, Jinkyu Jeong

Proceedings of the 34th International Conference on Parallel Architectures and Compilation Techniques, 2025

2024

Pushing the Envelope of Low-Bit LLM via Dynamic Error Compensation.

Yeonhong Park, Jake Hyun, Hojoon Kim, Jae W. Lee

CoRR, 2024

Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs.

Yeonhong Park, Jake Hyun, SangLyul Cho, Bonggeun Sim, Jae W. Lee

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ReLUifying Smooth Functions: Low-Cost Knowledge Distillation to Obtain High-Performance ReLU Networks.

Soosung Kim, Yeonhong Park, Hyunseung Lee, Sungchan Yi, Jae W. Lee

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Liquid: Mix-and-Match Multiple Image Formats to Balance DNN Training Pipeline.

Woohyeon Baek, Jonghyun Bae, Donghyun Lee, Hyunwoong Bae, Yeonhong Park, Jae W. Lee

Proceedings of the 14th ACM SIGOPS Asia-Pacific Workshop on Systems, 2023

2022

Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching.

Yeonhong Park, Sunhong Min, Jae W. Lee

Proc. VLDB Endow., 2022

Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh.

Michael Jaemin Kim, Jaehyun Park, Yeonhong Park, Wanju Doh, Namhoon Kim, Tae Jun Ham, Jae W. Lee, Jung Ho Ahn

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

Effective zero compression on ReRAM-based sparse DNN accelerators.

Hoon Shin, Rihae Park, Seung Yul Lee, Yeonhong Park, Hyunseung Lee, Jae W. Lee

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

BOSS: Bandwidth-Optimized Search Accelerator for Storage-Class Memory.

Jun Heo, Seung Yul Lee, Sunhong Min, Yeonhong Park, Sungjun Jung, Tae Jun Ham, Jae W. Lee

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling.

Young H. Oh, Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee, Yeonhong Park, Dong Uk Kim, Tae Jun Ham, Jae W. Lee

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

Graphene: Strong yet Lightweight Row Hammer Protection.

Yeonhong Park, Woosuk Kwon, Eojin Lee, Tae Jun Ham, Jung Ho Ahn, Jae W. Lee

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

Unlocking Wordline-level Parallelism for Fast Inference on RRAM-based DNN Accelerator.

Yeonhong Park, Seung Yul Lee, Hoon Shin, Jun Heo, Tae Jun Ham, Jae W. Lee

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

A³: Accelerating Attention Mechanisms in Neural Networks with Approximation.

Tae Jun Ham, Sungjun Jung, Seonghak Kim, Young H. Oh, Yeonhong Park, Yoonho Song, Jung-Hun Park, Sanghee Lee, Kyoung Park, Jae W. Lee, Deog-Kyoon Jeong

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020