Jonghyun Bae

27 papers A* 2A 2C 1Misc 1Journal 10Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Excess iron in deep gray matter is associated with cognitive and functional decline: The mediating role of white matter myelin.
NeuroImage
Jonghyun Bae, Angelique De Rouen, Zhaoyuan Gong, Nathan Zhang, Noam Y. Fox, Murat Bilgel, Christopher Bergeron, Luigi Ferrucci, Mustapha Bouhrara
2026 J jnl
Multi-omics validation of myelin water fraction as a myelin-specific MRI biomarker.
NeuroImage
Jonghyun Bae, Cassandra M. Joynes, Zhaoyuan Gong, Michael R. Duggan, Keenan A. Walker, Mustapha Bouhrara
2025 J jnl
Scalable training of trustworthy and energy-efficient predictive graph foundation models for atomistic materials modeling: a case study with HydraGNN.
J. Supercomput.
Massimiliano Lupo Pasini, Jong Youl Choi, Kshitij Mehta, Pei Zhang, David M. Rogers, Jonghyun Bae, Khaled Z. Ibrahim, Ashwin M. Aji, Karl W. Schulz, Jordà Polo, Prasanna Balaprakash
2025 Misc conf
SkipLSM: Fast Retrieval of Hot Key-Value Pairs on LSM Tree.
SAC
Jongsung Lee, Sam Son, Jonghyun Bae, Yunho Jin, Tae Jun Ham, Jae W. Lee
2024 — conf
ISP2DLA: Automated Deep Learning Accelerator Design for On-Sensor Image Signal Processing.
ASAP
Dong-eon Won, Yeeun Kim, Janghwan Lee, Minjae Lee, Jonghyun Bae, Jongjoo Park, Jeongyong Song, Jungwook Choi
2024 — conf
MDLoader: A Hybrid Model-Driven Data Loader for Distributed Graph Neural Network Training.
SC Workshops
Jonghyun Bae, Jong Youl Choi, Massimiliano Lupo Pasini, Kshitij Mehta, Pei Zhang, Khaled Z. Ibrahim
2024 — conf
MDLoader: A Hybrid Model-driven Data Loader for Distributed Deep Neural Networks Training.
IPDPS (Workshops)
Jonghyun Bae, Jong Youl Choi, Massimiliano Lupo Pasini, Kshitij Mehta, Khaled Z. Ibrahim
2024 J jnl
Scalable Training of Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN.
CoRR
Massimiliano Lupo Pasini, Jong Youl Choi, Kshitij Mehta, Pei Zhang, David M. Rogers, Jonghyun Bae, Khaled Z. Ibrahim, Ashwin M. Aji, Karl W. Schulz, Jorda Polo, Prasanna Balaprakash
2023 — conf
DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets.
SC Workshops
Jong Youl Choi, Massimiliano Lupo Pasini, Pei Zhang, Kshitij Mehta, Frank Liu, Jonghyun Bae, Khaled Ibrahim
2023 J jnl
Improving measurement of blood-brain barrier permeability with reduced scan time using deep-learning-derived capillary input function.
NeuroImage
Jonghyun Bae, Chenyang Li, Arjun V. Masurkar, Yulin Ge, Sungheon Gene Kim
2023 — conf
Liquid: Mix-and-Match Multiple Image Formats to Balance DNN Training Pipeline.
APSys
Woohyeon Baek, Jonghyun Bae, Donghyun Lee, Hyunwoong Bae, Yeonhong Park, Jae W. Lee
2022 — conf
L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training.
ECCV (11)
Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee
2022 J jnl
L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training.
CoRR
Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee
2022 J jnl
PyNET-QxQ: A Distilled PyNET for QxQ Bayer Pattern Demosaicing in CMOS Image Sensor.
CoRR
Minhyeok Cho, Haechang Lee, Hyunwoo Je, Kijeong Kim, Dongil Ryu, Jinsu Kim, Jonghyun Bae, Albert No
2021 — conf
A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction.
MLMIR@MICCAI
Zhengnan Huang, Jonghyun Bae, Patricia M. Johnson, Terlika Sood, Laura Heacock, Justin Fogarty, Linda Moy, Sungheon Gene Kim, Florian Knoll
2021 — conf
ASAP: Fast Mobile Application Switch via Adaptive Prepaging.
USENIX ATC
Sam Son, Seung Yul Lee, Yunho Jin, Jonghyun Bae, Jinkyu Jeong, Tae Jun Ham, Jae W. Lee, Hongil Yoon
2021 A conf
Behemoth: A Flash-centric Training Accelerator for Extreme-scale DNNs.
FAST
Shine Kim, Yunho Jin, Gina Sohn, Jonghyun Bae, Tae Jun Ham, Jae W. Lee
2021 A conf
FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks.
FAST
Jonghyun Bae, Jongsung Lee, Yunho Jin, Sam Son, Shine Kim, Hakbeom Jang, Tae Jun Ham, Jae W. Lee
2021 A* conf
Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling.
HPCA
Young H. Oh, Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee, Yeonhong Park, Dong Uk Kim, Tae Jun Ham, Jae W. Lee
2020 A* conf
A Case for Hardware-Based Demand Paging.
ISCA
Gyusun Lee, Wenjing Jin, Wonsuk Song, Jeonghun Gong, Jonghyun Bae, Tae Jun Ham, Jae W. Lee, Jinkyu Jeong
2019 J jnl
Eager Memory Management for In-Memory Data Analytics.
IEICE Trans. Inf. Syst.
Hakbeom Jang, Jonghyun Bae, Tae Jun Ham, Jae W. Lee
2019 — conf
Practical Erase Suspension for Modern Low-latency SSDs.
USENIX ATC
Shine Kim, Jonghyun Bae, Hakbeom Jang, Wenjing Jin, Jeonghun Gong, Seungyeon Lee, Tae Jun Ham, Jae W. Lee
2019 J jnl
SSDStreamer: Specializing I/O Stack for Large-Scale Machine Learning.
IEEE Micro
Jonghyun Bae, Hakbeom Jang, Jeonghun Gong, Wenjing Jin, Shine Kim, Jaeyoung Jang, Tae Jun Ham, Jinkyu Jeong, Jae W. Lee
2017 — conf
Jointly optimizing task granularity and concurrency for in-memory mapreduce frameworks.
IEEE BigData
Jonghyun Bae, Hakbeom Jang, Wenjing Jin, Jun Heo, Jaeyoung Jang, Joo Young Hwang, Sangyeun Cho, Jae W. Lee
2015 — conf
Exploring the Role of a Smartphone as a Motion Sensing and Control Device in the Wireless Networked Control of a Motor Test-bed.
ICINCO (2)
Jared Alan Frank, Anthony Brill, Jonghyun Bae, Vikram Kapila
2012 C conf
A new edge directed interpolation algorithm using accurate estimation of edge directional covariance.
ISCAS
Jonghyun Bae, Yujin Yun, Kyungman Kim, Jaeseok Kim
2011 J jnl
Natural hdr image tone mapping based on retinex.
IEEE Trans. Consumer Electron.
Kyungman Kim, Jonghyun Bae, Jaeseok Kim