Kang-Wook Chon

According to our database, Kang-Wook Chon authored at least 9 papers between 2017 and 2024.

Collaborative distances:

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

2024

GPUTucker: Large-Scale GPU-Based Tucker Decomposition Using Tensor Partitioning.

Jihye Lee, Donghyoung Han, Oh-Kyoung Kwon, Kang-Wook Chon, Min-Soo Kim

Expert Syst. Appl., March, 2024

2023

Active learning using Generative Adversarial Networks for improving generalization and avoiding distractor points.

Heechul Lim, Kang-Wook Chon, Min-Soo Kim

Expert Syst. Appl., October, 2023

ConnectomeNet: A Unified Deep Neural Network Modeling Framework for Multi-Task Learning.

Heechul Lim, Kang-Wook Chon, Min-Soo Kim

IEEE Access, 2023

A GPU-based tensor decomposition method for large-scale tensors.

Jihye Lee, Kang-Wook Chon, Min-Soo Kim

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

2022

SGMiner: A Fast and Scalable GPU-Based Frequent Pattern Miner on SSDs.

Kang-Wook Chon, Eunjeong Yi, Min-Soo Kim

IEEE Access, 2022

2020

Latency-Optimal Network Intelligence Services in SDN/NFV-Based Energy Internet Cyberinfrastructure.

Ardiansyah, Yonghoon Choi, Muhammad Reza Kahar Aziz, Kang-Wook Chon, Deokjai Choi

IEEE Access, 2020

2018

GMiner: A fast GPU-based frequent itemset mining method for large-scale data.

Kang-Wook Chon, Sang-Hyun Hwang, Min-Soo Kim

Inf. Sci., 2018

BIGMiner: a fast and scalable distributed frequent pattern miner for big data.

Kang-Wook Chon, Min-Soo Kim

Clust. Comput., 2018

2017

SSDPrimer: an SSD-based primer design method for a private sequence DB.

Kang-Wook Chon, Sang-Hyun Hwang, Kyuhyeon An, Min-Soo Kim

Int. J. Data Min. Bioinform., 2017