Raehyun Kim

According to our database, Raehyun Kim authored at least 16 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Improving blocked matrix-matrix multiplication routine by utilizing AVX-512 instructions on intel knights landing and xeon scalable processors.

Yoosang Park, Raehyun Kim, Thi My Tuyen Nguyen, Jaeyoung Choi

Clust. Comput., October, 2023

2022

Graph Transformer Networks: Learning meta-path graphs to improve GNNs.

Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim

Neural Networks, 2022

Algebraic Multiscale Method for two-dimensional elliptic problems.

Kanghun Cho, Imbunm Kim, Raehyun Kim, Dongwoo Sheen

CoRR, 2022

2020

MAPS: Multi-Agent reinforcement learning-based Portfolio management System.

Jinho Lee, Raehyun Kim, Seok-Won Yi, Jaewoo Kang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Evaluating performance of Parallel Matrix Multiplication Routine on Intel KNL and Xeon Scalable Processors.

Thi My Tuyen Nguyen, Yoosang Park, Jaeyoung Choi, Raehyun Kim

Proceedings of the 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

2019

Auto-tuning GEMM kernels on the Intel KNL and Intel Skylake-SP processors.

Roktaek Lim, Yeongha Lee, Raehyun Kim, Jaeyoung Choi, Myungho Lee

J. Supercomput., 2019

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction.

Raehyun Kim, Chan Ho So, Minbyul Jeong, Sanghoon Lee, Jinkyu Kim, Jaewoo Kang

CoRR, 2019

Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network.

Jinho Lee, Raehyun Kim, Yookyung Koh, Jaewoo Kang

IEEE Access, 2019

SAIN: Self-Attentive Integration Network for Recommendation.

Seongjun Yun, Raehyun Kim, Miyoung Ko, Jaewoo Kang

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Predicting Multiple Demographic Attributes with Task Specific Embedding Transformation and Attention Network.

Raehyun Kim, Hyunjae Kim, Janghyuk Lee, Jaewoo Kang

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Graph Transformer Networks.

Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Optimizing parallel GEMM routines using auto-tuning with Intel AVX-512.

Raehyun Kim, Jaeyoung Choi, Myungho Lee

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2019

2018

DeepNAP: Deep neural anomaly pre-detection in a semiconductor fab.

Chunggyeom Kim, Jinhyuk Lee, Raehyun Kim, Youngbin Park, Jaewoo Kang

Inf. Sci., 2018

An implementation of matrix-matrix multiplication on the Intel KNL processor with AVX-512.

Roktaek Lim, Yeongha Lee, Raehyun Kim, Jaeyoung Choi

Clust. Comput., 2018

A Deep Neural Spoiler Detection Model Using a Genre-Aware Attention Mechanism.

Buru Chang, Hyunjae Kim, Raehyun Kim, Deahan Kim, Jaewoo Kang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

OpenMP-based parallel implementation of matrix-matrix multiplication on the intel knights landing.

Roktaek Lim, Yeongha Lee, Raehyun Kim, Jaeyoung Choi

Proceedings of the Proceedings of Workshops of HPC Asia 2018, 2018