Jaeyong Song

According to our database, Jaeyong Song authored at least 22 papers between 2002 and 2024.

Collaborative distances:

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

2024

Latecomer firms' technological learning strategies for creative imitation: evidence from the Korean pharmaceutical industry.

Byungjun Min, Jaeyong Song, Chuyue Jin

Technol. Anal. Strateg. Manag., November, 2024

Polymorphic Control Framework for Automated and Individualized Robot-Assisted Rehabilitation.

Michael Sommerhalder, Yves Zimmermann, Jaeyong Song, Robert Riener, Peter Wolf

IEEE Trans. Robotics, 2024

A Case for In-Memory Random Scatter-Gather for Fast Graph Processing.

Changmin Shin, Taehee Kwon, Jaeyong Song, Jae Hyung Ju, Frank Liu, YeonKyu Choi, Jinho Lee

IEEE Comput. Archit. Lett., 2024

AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping.

Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System.

Hongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park, Youngsok Kim, Jinho Lee

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters.

Jinkyu Yim, Jaeyong Song, Yerim Choi, Jaebeen Lee, Jaewon Jung, Hongsun Jang, Jinho Lee

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor.

Jaewon Jung, Hongsun Jang, Jaeyong Song, Jinho Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters.

Jaeyong Song, Hongsun Jang, Hunseong Lim, Jaewon Jung, Youngsok Kim, Jinho Lee

Proceedings of the 2024 International Conference on Parallel Architectures and Compilation Techniques, 2024

2023

Human-Robot Attachment System for Exoskeletons: Design and Performance Analysis.

Yves Zimmermann, Jaeyong Song, Cédric Deguelle, Julia Läderach, Lingfei Zhou, Marco Hutter, Robert Riener, Peter Wolf

IEEE Trans. Robotics, August, 2023

GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters.

Jaeyong Song, Hongsun Jang, Jaewon Jung, Youngsok Kim, Jinho Lee

CoRR, 2023

SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators.

Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

Pipe-BD: Pipelined Parallel Blockwise Distillation.

Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Fast Adversarial Training with Dynamic Batch-level Attack Control.

Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression.

Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Digital Guinea Pig: Merits and Methods of Human-in-the-Loop Simulation for Upper-Limb Exoskeletons.

Yves Zimmermann, Michael Sommerhalder, Jaeyong Song, Blaise Etter, Emek Baris Küçüktabak, Robert Riener, Peter Wolf

Proceedings of the International Conference on Rehabilitation Robotics, 2022

ARMStick - An Intuitive Therapist Interface for Upper-Limb Rehabilitation Robots.

Michael Sommerhalder, Nico Kurth, Jaeyong Song, Robert Riener

Proceedings of the International Conference on Rehabilitation Robotics, 2022

Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators.

Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing.

Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee

IEEE Comput. Archit. Lett., 2021

2020

Control for gravity compensation in tendon-driven upper limb exosuits.

Anna-Maria Georgarakis, Jaeyong Song, Peter Wolf, Robert Riener, Michele Xiloyannis

Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020

2011

Transferring Subsidiary Knowledge in the Global Learning Context.

Yuzhe Miao, Soonkyoo Choe, Jaeyong Song

J. Knowl. Manag., 2011

2003

Learning - by - Hiring: When Is Mobility More Likely to Facilitate Interfirm Knowledge Transfer?

Jaeyong Song, Paul Almeida, Geraldine Wu

Manag. Sci., 2003

2002

Are Firms Superior to Alliances and Markets? An Empirical Test of Cross-Border Knowledge Building.

Paul Almeida, Jaeyong Song, Robert M. Grant

Organ. Sci., 2002