Jaeyong Song

Orcid: 0000-0001-9976-7487

According to our database1, Jaeyong Song authored at least 21 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Polymorphic Control Framework for Automated and Individualized Robot-Assisted Rehabilitation.
IEEE Trans. Robotics, 2024

A Case for In-Memory Random Scatter-Gather for Fast Graph Processing.
IEEE Comput. Archit. Lett., 2024

AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping.
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.
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.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor.
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.
Proceedings of the 2024 International Conference on Parallel Architectures and Compilation Techniques, 2024

2023
Human-Robot Attachment System for Exoskeletons: Design and Performance Analysis.
IEEE Trans. Robotics, August, 2023

GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters.
CoRR, 2023

SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

Pipe-BD: Pipelined Parallel Blockwise Distillation.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Fast Adversarial Training with Dynamic Batch-level Attack Control.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression.
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.
Proceedings of the International Conference on Rehabilitation Robotics, 2022

ARMStick - An Intuitive Therapist Interface for Upper-Limb Rehabilitation Robots.
Proceedings of the International Conference on Rehabilitation Robotics, 2022

Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators.
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.
IEEE Comput. Archit. Lett., 2021

2020
Control for gravity compensation in tendon-driven upper limb exosuits.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020

2011
Transferring Subsidiary Knowledge in the Global Learning Context.
J. Knowl. Manag., 2011

2003
Learning - by - Hiring: When Is Mobility More Likely to Facilitate Interfirm Knowledge Transfer?
Manag. Sci., 2003

2002
Are Firms Superior to Alliances and Markets? An Empirical Test of Cross-Border Knowledge Building.
Organ. Sci., 2002


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