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)

Learning - by - Hiring: When Is Mobility More Likely to Facilitate Interfirm Knowledge Transfer? - Jaeyong Song; Paul Almeida; Geraldine Wu (Manag. Sci., 2003)

Transferring Subsidiary Knowledge in the Global Learning Context. - Yuzhe Miao; Soonkyoo Choe; Jaeyong Song (J. Knowl. Manag., 2011)

Control for gravity compensation in tendon-driven upper limb exosuits. - Anna-Maria Georgarakis; Jaeyong Song; Peter Wolf 001; Robert Riener; Michele Xiloyannis (BioRob, 2020)

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)

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 (PACT, 2022)

ARMStick - An Intuitive Therapist Interface for Upper-Limb Rehabilitation Robots. - Michael Sommerhalder; Nico Kurth; Jaeyong Song; Robert Riener (ICORR, 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 001 (ICORR, 2022)

Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression. - Jaeyong Song; Jinkyu Yim; Jaewon Jung 001; Hongsun Jang; Hyung-Jin Kim; Youngsok Kim; Jinho Lee (ASPLOS (2), 2023)

Fast Adversarial Training with Dynamic Batch-level Attack Control. - Jaewon Jung 001; Jaeyong Song; Hongsun Jang; Hyeyoon Lee; Kanghyun Choi; Noseong Park; Jinho Lee (DAC, 2023)

Pipe-BD: Pipelined Parallel Blockwise Distillation. - Hongsun Jang; Jaewon Jung 001; Jaeyong Song; Joonsang Yu; Youngsok Kim; Jinho Lee (DATE, 2023)

SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators. - Mingi Yoo; Jaeyong Song; Jounghoo Lee; Namhyung Kim; Youngsok Kim; Jinho Lee (HPCA, 2023)

GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters. - Jaeyong Song; Hongsun Jang; Jaewon Jung 001; Youngsok Kim; Jinho Lee (CoRR, 2023)

Human-Robot Attachment System for Exoskeletons: Design and Performance Analysis. - Yves Zimmermann; Jaeyong Song; Cédric Deguelle; Julia Läderach; Lingfei Zhou; Marco Hutter 001; Robert Riener; Peter Wolf 001 (IEEE Trans. Robotics, 2023)

GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters. - Jaeyong Song; Hongsun Jang; Hunseong Lim; Jaewon Jung 001; Youngsok Kim; Jinho Lee (PACT, 2024)

PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor. - Jaewon Jung 001; Hongsun Jang; Jaeyong Song; Jinho Lee (CVPR, 2024)

Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters. - Jinkyu Yim; Jaeyong Song; Yerim Choi; Jaebeen Lee; Jaewon Jung 001; Hongsun Jang; Jinho Lee (DATE, 2024)

Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System. - Hongsun Jang; Jaeyong Song; Jaewon Jung 001; Jaeyoung Park; Youngsok Kim; Jinho Lee (HPCA, 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 (PPoPP, 2024)

A Case for In-Memory Random Scatter-Gather for Fast Graph Processing. - Changmin Shin; Taehee Kwon 002; Jaeyong Song; Jae Hyung Ju; Frank Liu 001; YeonKyu Choi; Jinho Lee (IEEE Comput. Archit. Lett., 2024)

Polymorphic Control Framework for Automated and Individualized Robot-Assisted Rehabilitation. - Michael Sommerhalder; Yves Zimmermann; Jaeyong Song; Robert Riener; Peter Wolf 001 (IEEE Trans. Robotics, 2024)

AIS-SNU/GraNNDis_Artifact: Artifact Evaluation Submission. - Jaeyong Song; Hongsun Jang; Hunseong Lim; Jaewon Jung 001; Youngsok Kim; Jinho Lee (Zenodo, 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., 2024)

Piccolo: Large-Scale Graph Processing with Fine-Grained in-Memory Scatter-Gather. - Changmin Shin; Jaeyong Song; Hongsun Jang; Dogeun Kim; Jun Sung; Taehee Kwon 002; Jae Hyung Ju; Frank Liu 001; YeonKyu Choi; Jinho Lee (HPCA, 2025)

INF2: High-Throughput Generative Inference of Large Language Models using Near-Storage Processing. - Hongsun Jang; Si Ung Noh; Changmin Shin; Jaewon Jung 001; Jaeyong Song; Jinho Lee (CoRR, 2025)