Raehyun Kim

22 papers A* 3A 1C 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2023 J jnl
Improving blocked matrix-matrix multiplication routine by utilizing AVX-512 instructions on intel knights landing and xeon scalable processors.
Clust. Comput.
Yoosang Park, Raehyun Kim, Thi My Tuyen Nguyen, Jaeyoung Choi
2022 J jnl
Algebraic Multiscale Method for two-dimensional elliptic problems.
CoRR
Kanghun Cho, Imbunm Kim, Raehyun Kim, Dongwoo Sheen
2022 J jnl
Graph Transformer Networks: Learning meta-path graphs to improve GNNs.
Neural Networks
Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
2021 J jnl
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs.
CoRR
Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
2020 — conf
Evaluating performance of Parallel Matrix Multiplication Routine on Intel KNL and Xeon Scalable Processors.
ACSOS Companion
Thi My Tuyen Nguyen, Yoosang Park, Jaeyoung Choi, Raehyun Kim
2020 A* conf
MAPS: Multi-Agent reinforcement learning-based Portfolio management System.
IJCAI
Jinho Lee, Raehyun Kim, Seok-Won Yi, Jaewoo Kang
2020 J jnl
MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System.
CoRR
Jinho Lee, Raehyun Kim, Seok-Won Yi, Jaewoo Kang
2019 J jnl
Auto-tuning GEMM kernels on the Intel KNL and Intel Skylake-SP processors.
J. Supercomput.
Roktaek Lim, Yeongha Lee, Raehyun Kim, Jaeyoung Choi, Myungho Lee
2019 J jnl
Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network.
IEEE Access
Jinho Lee, Raehyun Kim, Yookyung Koh, Jaewoo Kang
2019 J jnl
Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network.
CoRR
Jinho Lee, Raehyun Kim, Yookyung Koh, Jaewoo Kang
2019 A* conf
Graph Transformer Networks.
NeurIPS
Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
2019 J jnl
Graph Transformer Networks.
CoRR
Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
2019 J jnl
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction.
CoRR
Raehyun Kim, Chan Ho So, Minbyul Jeong, Sanghoon Lee, Jinkyu Kim, Jaewoo Kang
2019 C conf
Optimizing parallel GEMM routines using auto-tuning with Intel AVX-512.
HPC Asia
Raehyun Kim, Jaeyoung Choi, Myungho Lee
2019 A conf
Predicting Multiple Demographic Attributes with Task Specific Embedding Transformation and Attention Network.
SDM
Raehyun Kim, Hyunjae Kim, Janghyuk Lee, Jaewoo Kang
2019 J jnl
Predicting Multiple Demographic Attributes with Task Specific Embedding Transformation and Attention Network.
CoRR
Raehyun Kim, Hyunjae Kim, Janghyuk Lee, Jaewoo Kang
2019 A* conf
SAIN: Self-Attentive Integration Network for Recommendation.
SIGIR
Seongjun Yun, Raehyun Kim, Miyoung Ko, Jaewoo Kang
2019 J jnl
SAIN: Self-Attentive Integration Network for Recommendation.
CoRR
Seoungjun Yun, Raehyun Kim, Miyoung Ko, Jaewoo Kang
2018 — conf
A Deep Neural Spoiler Detection Model Using a Genre-Aware Attention Mechanism.
PAKDD (1)
Buru Chang, Hyunjae Kim, Raehyun Kim, Deahan Kim, Jaewoo Kang
2018 J jnl
An implementation of matrix-matrix multiplication on the Intel KNL processor with AVX-512.
Clust. Comput.
Roktaek Lim, Yeongha Lee, Raehyun Kim, Jaeyoung Choi
2018 J jnl
DeepNAP: Deep neural anomaly pre-detection in a semiconductor fab.
Inf. Sci.
Chunggyeom Kim, Jinhyuk Lee, Raehyun Kim, Youngbin Park, Jaewoo Kang
2018 — conf
OpenMP-based parallel implementation of matrix-matrix multiplication on the intel knights landing.
HPC Asia Workshops
Roktaek Lim, Yeongha Lee, Raehyun Kim, Jaeyoung Choi