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

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

Latecomer firms' technological learning strategies for creative imitation: evidence from the Korean pharmaceutical industry. - Min, Byungjun; Song, Jaeyong; Jin, Chuyue (Technol. Anal. Strateg. Manag., 2024)

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

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

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

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

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

AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping. - Park, Seongyeon; Hong, Junguk; Song, Jaeyong; Kim, Hajin; Kim, Youngsok; Lee, Jinho (2024)

AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping. - Park, Seongyeon; Hong, Junguk; Song, Jaeyong; Kim, Hajin; Kim, Youngsok; Lee, Jinho (CoRR, 2024)

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

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

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

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

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

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

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

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

Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators. - Yoo, Mingi; Song, Jaeyong; Lee, Hyeyoon; Lee, Jounghoo; Kim, Namhyung; Kim, Youngsok; Lee, Jinho (CoRR, 2023)

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

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

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

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

Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators. - Yoo, Mingi; Song, Jaeyong; Lee, Hyeyoon; Lee, Jounghoo; Kim, Namhyung; Kim, Youngsok; Lee, Jinho (2022)

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

Digital Guinea Pig: Merits and Methods of Human-in-the-Loop Simulation for Upper-Limb Exoskeletons. - Zimmermann, Yves; Sommerhalder, Michael; Song, Jaeyong; Etter, Blaise; Küçüktabak, Emek Baris; Riener, Robert; Wolf, Peter (2022)

Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing. - Yoo, Mingi; Song, Jaeyong; Lee, Jounghoo; Kim, Namhyung; Kim, Youngsok; Lee, Jinho (IEEE Comput. Archit. Lett., 2021)

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

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

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

Are Firms Superior to Alliances and Markets? An Empirical Test of Cross-Border Knowledge Building. - Almeida, Paul; Song, Jaeyong; Grant, Robert M. (Organ. Sci., 2002)