Younghyun Cho

28 papers A* 1A 2B 5C 1Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data.
DAC
Jason Han, Nicholas S. DiBrita, Younghyun Cho, Hengrui Luo, Tirthak Patel
2025 J jnl
EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data.
CoRR
Jason Han, Nicholas S. DiBrita, Younghyun Cho, Hengrui Luo, Tirthak Patel
2025 A conf
PTQ4VM: Post-Training Quantization for Visual Mamba.
WACV
Younghyun Cho, Changhun Lee, Seonggon Kim, Eunhyeok Park
2025 J jnl
Parallelizing autotuning for HPC applications: Unveiling the potential of the speculation strategy in Bayesian optimization.
Int. J. High Perform. Comput. Appl.
Adrián Pérez Diéguez, Seth Ockerman, Tristan Aikman, Younghyun Cho, Yang Liu, Khaled Z. Ibrahim
2025 — conf
SEAL: Scaling to Emphasize Attention for Long-Context Retrieval.
ACL (1)
Changhun Lee, Minsang Seok, Jungyu Jin, Younghyun Cho, Eunhyeok Park
2025 J jnl
SEAL: Scaling to Emphasize Attention for Long-Context Retrieval.
CoRR
Changhun Lee, Jungyu Jin, Younghyun Cho, Eunhyeok Park
2025 J jnl
Surrogate-Based Autotuning for Randomized Sketching Algorithms in Regression Problems.
SIAM J. Matrix Anal. Appl.
Younghyun Cho, James Demmel, Michal Derezinski, Haoyun Li, Hengrui Luo, Michael W. Mahoney, Riley Murray
2024 J jnl
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization.
J. Comput. Graph. Stat.
Hengrui Luo, Younghyun Cho, James Weldon Demmel, Xiaoye S. Li, Yang Liu
2024 J jnl
Non-smooth Bayesian optimization in tuning scientific applications.
Int. J. High Perform. Comput. Appl.
Hengrui Luo, Younghyun Cho, James Weldon Demmel, Igor Kozachenko, Xiaoye S. Li, Yang Liu
2024 J jnl
PTQ4VM: Post-Training Quantization for Visual Mamba.
CoRR
Younghyun Cho, Changhun Lee, Seonggon Kim, Eunhyeok Park
2024 — conf
QEFT: Quantization for Efficient Fine-Tuning of LLMs.
EMNLP (Findings)
Changhun Lee, Jungyu Jin, Younghyun Cho, Eunhyeok Park
2024 J jnl
QEFT: Quantization for Efficient Fine-Tuning of LLMs.
CoRR
Changhun Lee, Jungyu Jin, Younghyun Cho, Eunhyeok Park
2024 J jnl
Rapid wildfire damage estimation using integrated object-based classification with auto-generated training samples from Sentinel-2 imagery on Google Earth Engine.
Int. J. Appl. Earth Obs. Geoinformation
Almo Senja Kulinan, Younghyun Cho, Minsoo Park, Seunghee Park
2023 A conf
Harnessing the Crowd for Autotuning High-Performance Computing Applications.
IPDPS
Younghyun Cho, James Weldon Demmel, Jacob King, Xiaoye S. Li, Yang Liu, Hengrui Luo
2023 J jnl
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems.
CoRR
Younghyun Cho, James Weldon Demmel, Michal Derezinski, Haoyun Li, Hengrui Luo, Michael W. Mahoney, Riley J. Murray
2022 B conf
Dopia: online parallelism management for integrated CPU/GPU architectures.
PPoPP
Younghyun Cho, Jiyeon Park, Florian Negele, Changyeon Jo, Thomas R. Gross, Bernhard Egger
2022 J jnl
Hybrid Models for Mixed Variables in Bayesian Optimization.
CoRR
Hengrui Luo, Younghyun Cho, James Weldon Demmel, Xiaoye S. Li, Yang Liu
2021 — conf
Enhancing Autotuning Capability with a History Database.
MCSoC
Younghyun Cho, James Demmel, Xiaoye S. Li, Yang Liu, Hengrui Luo
2021 J jnl
Non-smooth Bayesian Optimization in Tuning Problems.
CoRR
Hengrui Luo, James Weldon Demmel, Younghyun Cho, Xiaoye S. Li, Yang Liu
2020 J jnl
Evaluation of memory performance in NUMA architectures using Stochastic Reward Nets.
J. Parallel Distributed Comput.
Reza Entezari-Maleki, Younghyun Cho, Bernhard Egger
2020 J jnl
Performance Modeling of Parallel Loops on Multi-Socket Platforms Using Queueing Systems.
IEEE Trans. Parallel Distributed Syst.
Younghyun Cho, Surim Oh, Bernhard Egger
2018 B conf
Maximizing system utilization via parallelism management for co-located parallel applications.
PACT
Younghyun Cho, Camilo A. Celis Guzman, Bernhard Egger
2018 B conf
On-the-fly workload partitioning for integrated CPU/GPU architectures.
PACT
Younghyun Cho, Florian Negele, Seohong Park, Bernhard Egger, Thomas R. Gross
2017 J jnl
A Study of Spatial Soil Moisture Estimation Using a Multiple Linear Regression Model and MODIS Land Surface Temperature Data Corrected by Conditional Merging.
Remote. Sens.
Chung Il Jung, Yonggwan Lee, Younghyun Cho, Seongjoon Kim
2017 B conf
POSTER: Improving NUMA System Efficiency with a Utilization-Based Co-scheduling.
PACT
Younghyun Cho, Camilo A. Celis Guzman, Bernhard Egger
2016 C conf
Adaptive Space-Shared Scheduling for Shared-Memory Parallel Programs.
JSSPP
Younghyun Cho, Surim Oh, Bernhard Egger
2016 J jnl
Efficient Checkpointing of Live Virtual Machines.
IEEE Trans. Computers
Bernhard Egger, Younghyun Cho, Changyeon Jo, Eunbyung Park, Jaejin Lee
2016 B conf
Online Scalability Characterization of Data-Parallel Programs on Many Cores.
PACT
Younghyun Cho, Surim Oh, Bernhard Egger