Younghyun Cho

According to our database, Younghyun Cho authored at least 23 papers between 2016 and 2025.

Collaborative distances:

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

2025

EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data.

Jason Han, Nicholas S. DiBrita, Younghyun Cho, Hengrui Luo, Tirthak Patel

CoRR, March, 2025

SEAL: Scaling to Emphasize Attention for Long-Context Retrieval.

Changhun Lee, Jungyu Jin, Younghyun Cho, Eunhyeok Park

CoRR, January, 2025

Surrogate-Based Autotuning for Randomized Sketching Algorithms in Regression Problems.

Younghyun Cho, James Demmel, Michal Derezinski, Haoyun Li, Hengrui Luo, Michael W. Mahoney, Riley Murray

SIAM J. Matrix Anal. Appl., 2025

PTQ4VM: Post-Training Quantization for Visual Mamba.

Younghyun Cho, Changhun Lee, Seonggon Kim, Eunhyeok Park

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

SEAL: Scaling to Emphasize Attention for Long-Context Retrieval.

Changhun Lee, Minsang Seok, Jungyu Jin, Younghyun Cho, Eunhyeok Park

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Rapid wildfire damage estimation using integrated object-based classification with auto-generated training samples from Sentinel-2 imagery on Google Earth Engine.

Almo Senja Kulinan, Younghyun Cho, Minsoo Park, Seunghee Park

Int. J. Appl. Earth Obs. Geoinformation, February, 2024

Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization.

Hengrui Luo, Younghyun Cho, James Weldon Demmel, Xiaoye S. Li, Yang Liu

J. Comput. Graph. Stat., 2024

Non-smooth Bayesian optimization in tuning scientific applications.

Hengrui Luo, Younghyun Cho, James Weldon Demmel, Igor Kozachenko, Xiaoye S. Li, Yang Liu

Int. J. High Perform. Comput. Appl., 2024

QEFT: Quantization for Efficient Fine-Tuning of LLMs.

Changhun Lee, Jungyu Jin, Younghyun Cho, Eunhyeok Park

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Harnessing the Crowd for Autotuning High-Performance Computing Applications.

Younghyun Cho, James Weldon Demmel, Jacob King, Xiaoye S. Li, Yang Liu, Hengrui Luo

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

Hybrid Models for Mixed Variables in Bayesian Optimization.

Hengrui Luo, Younghyun Cho, James Weldon Demmel, Xiaoye S. Li, Yang Liu

CoRR, 2022

Dopia: online parallelism management for integrated CPU/GPU architectures.

Younghyun Cho, Jiyeon Park, Florian Negele, Changyeon Jo, Thomas R. Gross, Bernhard Egger

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

2021

Non-smooth Bayesian Optimization in Tuning Problems.

Hengrui Luo, James Weldon Demmel, Younghyun Cho, Xiaoye S. Li, Yang Liu

CoRR, 2021

Enhancing Autotuning Capability with a History Database.

Younghyun Cho, James Demmel, Xiaoye S. Li, Yang Liu, Hengrui Luo

Proceedings of the 14th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2021

2020

Performance Modeling of Parallel Loops on Multi-Socket Platforms Using Queueing Systems.

Younghyun Cho, Surim Oh, Bernhard Egger

IEEE Trans. Parallel Distributed Syst., 2020

Evaluation of memory performance in NUMA architectures using Stochastic Reward Nets.

Reza Entezari-Maleki, Younghyun Cho, Bernhard Egger

J. Parallel Distributed Comput., 2020

2018

On-the-fly workload partitioning for integrated CPU/GPU architectures.

Younghyun Cho, Florian Negele, Seohong Park, Bernhard Egger, Thomas R. Gross

Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

Maximizing system utilization via parallelism management for co-located parallel applications.

Younghyun Cho, Camilo A. Celis Guzman, Bernhard Egger

Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2017

A Study of Spatial Soil Moisture Estimation Using a Multiple Linear Regression Model and MODIS Land Surface Temperature Data Corrected by Conditional Merging.

Chung Il Jung, Yonggwan Lee, Younghyun Cho, Seongjoon Kim

Remote. Sens., 2017

POSTER: Improving NUMA System Efficiency with a Utilization-Based Co-scheduling.

Younghyun Cho, Camilo A. Celis Guzman, Bernhard Egger

Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017

2016

Efficient Checkpointing of Live Virtual Machines.

Bernhard Egger, Younghyun Cho, Changyeon Jo, Eunbyung Park, Jaejin Lee

IEEE Trans. Computers, 2016

Adaptive Space-Shared Scheduling for Shared-Memory Parallel Programs.

Younghyun Cho, Surim Oh, Bernhard Egger

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2016

Online Scalability Characterization of Data-Parallel Programs on Many Cores.

Younghyun Cho, Surim Oh, Bernhard Egger

Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016