OpenMP-based parallel implementation of matrix-matrix multiplication on the intel knights landing. - Roktaek Lim; Yeongha Lee; Raehyun Kim; Jaeyoung Choi (HPC Asia Workshops, 2018)

A Deep Neural Spoiler Detection Model Using a Genre-Aware Attention Mechanism. - Buru Chang; Hyunjae Kim; Raehyun Kim; Deahan Kim; Jaewoo Kang (PAKDD (1), 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)

DeepNAP: Deep neural anomaly pre-detection in a semiconductor fab. - Chunggyeom Kim; Jinhyuk Lee; Raehyun Kim; Youngbin Park; Jaewoo Kang (Inf. Sci., 2018)

Optimizing parallel GEMM routines using auto-tuning with Intel AVX-512. - Raehyun Kim; Jaeyoung Choi; Myungho Lee (HPC Asia, 2019)

Graph Transformer Networks. - Seongjun Yun; Minbyul Jeong; Raehyun Kim; Jaewoo Kang; Hyunwoo J. Kim (NeurIPS, 2019)

Predicting Multiple Demographic Attributes with Task Specific Embedding Transformation and Attention Network. - Raehyun Kim; Hyunjae Kim; Janghyuk Lee; Jaewoo Kang (SDM, 2019)

SAIN: Self-Attentive Integration Network for Recommendation. - Seongjun Yun; Raehyun Kim; Miyoung Ko; Jaewoo Kang (SIGIR, 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)

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)

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)

Evaluating performance of Parallel Matrix Multiplication Routine on Intel KNL and Xeon Scalable Processors. - Thi My Tuyen Nguyen; Yoosang Park; Jaeyoung Choi; Raehyun Kim (ACSOS Companion, 2020)

MAPS: Multi-Agent reinforcement learning-based Portfolio management System. - Jinho Lee; Raehyun Kim; Seok-Won Yi; Jaewoo Kang (IJCAI, 2020)

Algebraic Multiscale Method for two-dimensional elliptic problems. - Kanghun Cho; Imbunm Kim; Raehyun Kim; Dongwoo Sheen (CoRR, 2022)

Graph Transformer Networks: Learning meta-path graphs to improve GNNs. - Seongjun Yun; Minbyul Jeong; Sungdong Yoo; Seunghun Lee 001; Sean S. Yi; Raehyun Kim; Jaewoo Kang; Hyunwoo J. Kim (Neural Networks, 2022)

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., 2023)