Raehyun Kim

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 22

Top Topics

Parallel Implementation

Matrix Multiplication

Single Instruction Multiple Data

Top Venues

ACSOS Companion

Publications

Yoosang Park, Raehyun Kim, Thi My Tuyen Nguyen, Jaeyoung Choi
Improving blocked matrix-matrix multiplication routine by utilizing AVX-512 instructions on intel knights landing and xeon scalable processors. Clust. Comput. 26 (5) (2023)
Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
Graph Transformer Networks: Learning meta-path graphs to improve GNNs. Neural Networks 153 (2022)
Kanghun Cho, Imbunm Kim, Raehyun Kim, Dongwoo Sheen
Algebraic Multiscale Method for two-dimensional elliptic problems. CoRR (2022)
Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs. CoRR (2021)
Jinho Lee, Raehyun Kim, Seok-Won Yi, Jaewoo Kang
MAPS: Multi-Agent reinforcement learning-based Portfolio management System. IJCAI (2020)
Thi My Tuyen Nguyen, Yoosang Park, Jaeyoung Choi, Raehyun Kim
Evaluating performance of Parallel Matrix Multiplication Routine on Intel KNL and Xeon Scalable Processors. ACSOS Companion (2020)
Jinho Lee, Raehyun Kim, Seok-Won Yi, Jaewoo Kang
MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System. CoRR (2020)
Roktaek Lim, Yeongha Lee, Raehyun Kim, Jaeyoung Choi, Myungho Lee
Auto-tuning GEMM kernels on the Intel KNL and Intel Skylake-SP processors. J. Supercomput. 75 (12) (2019)
Raehyun Kim, Hyunjae Kim, Janghyuk Lee, Jaewoo Kang
Predicting Multiple Demographic Attributes with Task Specific Embedding Transformation and Attention Network. CoRR (2019)
Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
Graph Transformer Networks. CoRR (2019)
Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
Graph Transformer Networks. NeurIPS (2019)
Seongjun Yun, Raehyun Kim, Miyoung Ko, Jaewoo Kang
SAIN: Self-Attentive Integration Network for Recommendation. SIGIR (2019)
Jinho Lee, Raehyun Kim, Yookyung Koh, Jaewoo Kang
Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network. IEEE Access 7 (2019)
Raehyun Kim, Jaeyoung Choi, Myungho Lee
Optimizing parallel GEMM routines using auto-tuning with Intel AVX-512. HPC Asia (2019)
Seoungjun Yun, Raehyun Kim, Miyoung Ko, Jaewoo Kang
SAIN: Self-Attentive Integration Network for Recommendation. CoRR (2019)
Jinho Lee, Raehyun Kim, Yookyung Koh, Jaewoo Kang
Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network. CoRR (2019)
Raehyun Kim, Chan Ho So, Minbyul Jeong, Sanghoon Lee, Jinkyu Kim, Jaewoo Kang
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction. CoRR (2019)
Raehyun Kim, Hyunjae Kim, Janghyuk Lee, Jaewoo Kang
Predicting Multiple Demographic Attributes with Task Specific Embedding Transformation and Attention Network. SDM (2019)
Roktaek Lim, Yeongha Lee, Raehyun Kim, Jaeyoung Choi
An implementation of matrix-matrix multiplication on the Intel KNL processor with AVX-512. Clust. Comput. 21 (4) (2018)
Buru Chang, Hyunjae Kim, Raehyun Kim, Deahan Kim, Jaewoo Kang
A Deep Neural Spoiler Detection Model Using a Genre-Aware Attention Mechanism. PAKDD (1) (2018)
Roktaek Lim, Yeongha Lee, Raehyun Kim, Jaeyoung Choi
OpenMP-based parallel implementation of matrix-matrix multiplication on the intel knights landing. HPC Asia Workshops (2018)
Chunggyeom Kim, Jinhyuk Lee, Raehyun Kim, Youngbin Park, Jaewoo Kang
DeepNAP: Deep neural anomaly pre-detection in a semiconductor fab. Inf. Sci. (2018)