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ORCIDJonghyun Bae
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2020 – today
- 2024
[c15]Dong-eon Won, Yeeun Kim, Janghwan Lee, Minjae Lee, Jonghyun Bae, Jongjoo Park, Jeongyong Song, Jungwook Choi:
ISP2DLA: Automated Deep Learning Accelerator Design for On-Sensor Image Signal Processing. ASAP 2024: 237-238- [c14]Jonghyun Bae, Jong Youl Choi, Massimiliano Lupo Pasini, Kshitij Mehta, Khaled Z. Ibrahim:
MDLoader: A Hybrid Model-driven Data Loader for Distributed Deep Neural Networks Training. IPDPS (Workshops) 2024: 1193-1195 - [i3]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:
Scalable Training of Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN. CoRR abs/2406.12909 (2024) - 2023
- [j4]Jonghyun Bae
, Chenyang Li, Arjun V. Masurkar, Yulin Ge, Sungheon Gene Kim:
Improving measurement of blood-brain barrier permeability with reduced scan time using deep-learning-derived capillary input function. NeuroImage 278: 120284 (2023) - [c13]Woohyeon Baek, Jonghyun Bae, Donghyun Lee, Hyunwoong Bae, Yeonhong Park, Jae W. Lee:
Liquid: Mix-and-Match Multiple Image Formats to Balance DNN Training Pipeline. APSys 2023: 50-57 - [c12]Jong Youl Choi, Massimiliano Lupo Pasini, Pei Zhang, Kshitij Mehta, Frank Liu, Jonghyun Bae, Khaled Ibrahim:
DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets. SC Workshops 2023: 941-950 - 2022
- [c11]Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee:
L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training. ECCV (11) 2022: 171-188 - [i2]Minhyeok Cho, Haechang Lee, Hyunwoo Je, Kijeong Kim, Dongil Ryu, Jinsu Kim, Jonghyun Bae, Albert No:
PyNET-QxQ: A Distilled PyNET for QxQ Bayer Pattern Demosaicing in CMOS Image Sensor. CoRR abs/2203.04314 (2022) - [i1]Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee:
L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training. CoRR abs/2208.08711 (2022) - 2021
- [c10]Shine Kim, Yunho Jin, Gina Sohn, Jonghyun Bae, Tae Jun Ham, Jae W. Lee:
Behemoth: A Flash-centric Training Accelerator for Extreme-scale DNNs. FAST 2021: 371-385 - [c9]Jonghyun Bae, Jongsung Lee, Yunho Jin, Sam Son, Shine Kim, Hakbeom Jang, Tae Jun Ham, Jae W. Lee:
FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks. FAST 2021: 387-401 - [c8]Young H. Oh, Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee, Yeonhong Park, Dong Uk Kim, Tae Jun Ham, Jae W. Lee:
Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling. HPCA 2021: 584-597 - [c7]Zhengnan Huang, Jonghyun Bae, Patricia M. Johnson, Terlika Sood, Laura Heacock, Justin Fogarty, Linda Moy, Sungheon Gene Kim, Florian Knoll:
A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction. MLMIR@MICCAI 2021: 45-53 - [c6]Sam Son, Seung Yul Lee, Yunho Jin, Jonghyun Bae, Jinkyu Jeong, Tae Jun Ham, Jae W. Lee, Hongil Yoon:
ASAP: Fast Mobile Application Switch via Adaptive Prepaging. USENIX ATC 2021: 365-380 - 2020
- [c5]Gyusun Lee, Wenjing Jin, Wonsuk Song, Jeonghun Gong, Jonghyun Bae, Tae Jun Ham, Jae W. Lee, Jinkyu Jeong:
A Case for Hardware-Based Demand Paging. ISCA 2020: 1103-1116
2010 – 2019
- 2019
- [j3]Hakbeom Jang, Jonghyun Bae, Tae Jun Ham, Jae W. Lee:
Eager Memory Management for In-Memory Data Analytics. IEICE Trans. Inf. Syst. 102-D(3): 632-636 (2019) - [j2]Jonghyun Bae, Hakbeom Jang, Jeonghun Gong, Wenjing Jin, Shine Kim, Jaeyoung Jang, Tae Jun Ham, Jinkyu Jeong, Jae W. Lee:
SSDStreamer: Specializing I/O Stack for Large-Scale Machine Learning. IEEE Micro 39(5): 73-81 (2019) - [c4]Shine Kim, Jonghyun Bae, Hakbeom Jang, Wenjing Jin, Jeonghun Gong, SeungYeon Lee, Tae Jun Ham, Jae W. Lee:
Practical Erase Suspension for Modern Low-latency SSDs. USENIX ATC 2019: 813-820 - 2017
- [c3]Jonghyun Bae, Hakbeom Jang, Wenjing Jin, Jun Heo, Jaeyoung Jang, Joo Young Hwang, Sangyeun Cho, Jae W. Lee:
Jointly optimizing task granularity and concurrency for in-memory mapreduce frameworks. IEEE BigData 2017: 130-140 - 2015
- [c2]Jared Alan Frank, Anthony Brill, Jonghyun Bae, Vikram Kapila:
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) 2015: 328-335 - 2012
- [c1]Jonghyun Bae, Yujin Yun, Kyungman Kim, Jaeseok Kim:
A new edge directed interpolation algorithm using accurate estimation of edge directional covariance. ISCAS 2012: 1223-1226 - 2011
- [j1]Kyungman Kim, Jonghyun Bae, Jaeseok Kim:
Natural hdr image tone mapping based on retinex. IEEE Trans. Consumer Electron. 57(4): 1807-1814 (2011)
Coauthor Index
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