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Jaeyong Song
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2020 – today
- 2024
- [j7]Changmin Shin, Taehee Kwon, Jaeyong Song, Jae Hyung Ju, Frank Liu, YeonKyu Choi, Jinho Lee:
A Case for In-Memory Random Scatter-Gather for Fast Graph Processing. IEEE Comput. Archit. Lett. 23(1): 73-77 (2024) - [j6]Michael Sommerhalder, Yves Zimmermann, Jaeyong Song, Robert Riener, Peter Wolf:
Polymorphic Control Framework for Automated and Individualized Robot-Assisted Rehabilitation. IEEE Trans. Robotics 40: 298-315 (2024) - [c13]Jaeyong Song, Hongsun Jang, Hunseong Lim, Jaewon Jung, Youngsok Kim, Jinho Lee:
GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters. PACT 2024: 91-107 - [c12]Jaewon Jung, Hongsun Jang, Jaeyong Song, Jinho Lee:
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor. CVPR 2024: 24482-24491 - [c11]Jinkyu Yim, Jaeyong Song, Yerim Choi, Jaebeen Lee, Jaewon Jung, Hongsun Jang, Jinho Lee:
Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters. DATE 2024: 1-6 - [c10]Hongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park, Youngsok Kim, Jinho Lee:
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System. HPCA 2024: 345-360 - [c9]Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee:
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping. PPoPP 2024: 431-444 - [i9]Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee:
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping. CoRR abs/2403.06478 (2024) - [i8]Hongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park, Youngsok Kim, Jinho Lee:
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System. CoRR abs/2403.06664 (2024) - [i7]Jaewon Jung, Hongsun Jang, Jaeyong Song, Jinho Lee:
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor. CoRR abs/2403.06668 (2024) - [i6]Jinkyu Yim, Jaeyong Song, Yerim Choi, Jaebeen Lee, Jaewon Jung, Hongsun Jang, Jinho Lee:
Pipette: Automatic Fine-grained Large Language Model Training Configurator for Real-World Clusters. CoRR abs/2405.18093 (2024) - 2023
- [j5]Yves Zimmermann, Jaeyong Song, Cédric Deguelle, Julia Läderach, Lingfei Zhou, Marco Hutter, Robert Riener, Peter Wolf:
Human-Robot Attachment System for Exoskeletons: Design and Performance Analysis. IEEE Trans. Robotics 39(4): 3087-3105 (2023) - [c8]Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee:
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression. ASPLOS (2) 2023: 560-573 - [c7]Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee:
Fast Adversarial Training with Dynamic Batch-level Attack Control. DAC 2023: 1-6 - [c6]Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee:
Pipe-BD: Pipelined Parallel Blockwise Distillation. DATE 2023: 1-6 - [c5]Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee:
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators. HPCA 2023: 1-14 - [i5]Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee:
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators. CoRR abs/2301.09813 (2023) - [i4]Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee:
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression. CoRR abs/2301.09830 (2023) - [i3]Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee:
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators. CoRR abs/2301.10388 (2023) - [i2]Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee:
Pipe-BD: Pipelined Parallel Blockwise Distillation. CoRR abs/2301.12443 (2023) - [i1]Jaeyong Song, Hongsun Jang, Jaewon Jung, Youngsok Kim, Jinho Lee:
GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters. CoRR abs/2311.06837 (2023) - 2022
- [c4]Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee:
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators. PACT 2022: 40-53 - [c3]Michael Sommerhalder, Nico Kurth, Jaeyong Song, Robert Riener:
ARMStick - An Intuitive Therapist Interface for Upper-Limb Rehabilitation Robots. ICORR 2022: 1-6 - [c2]Yves Zimmermann, Michael Sommerhalder, Jaeyong Song, Blaise Etter, Emek Baris Küçüktabak, Robert Riener, Peter Wolf:
Digital Guinea Pig: Merits and Methods of Human-in-the-Loop Simulation for Upper-Limb Exoskeletons. ICORR 2022: 1-6 - 2021
- [j4]Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee:
Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing. IEEE Comput. Archit. Lett. 20(2): 102-105 (2021) - 2020
- [c1]Anna-Maria Georgarakis, Jaeyong Song, Peter Wolf, Robert Riener, Michele Xiloyannis:
Control for gravity compensation in tendon-driven upper limb exosuits. BioRob 2020: 340-345
2010 – 2019
- 2011
- [j3]Yuzhe Miao, Soonkyoo Choe, Jaeyong Song:
Transferring Subsidiary Knowledge in the Global Learning Context. J. Knowl. Manag. 15(3): 478-496 (2011)
2000 – 2009
- 2003
- [j2]Jaeyong Song, Paul Almeida, Geraldine Wu:
Learning - by - Hiring: When Is Mobility More Likely to Facilitate Interfirm Knowledge Transfer? Manag. Sci. 49(4): 351-365 (2003) - 2002
- [j1]Paul Almeida, Jaeyong Song, Robert M. Grant:
Are Firms Superior to Alliances and Markets? An Empirical Test of Cross-Border Knowledge Building. Organ. Sci. 13(2): 147-161 (2002)
Coauthor Index
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last updated on 2024-10-23 20:29 CEST by the dblp team
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