Yoonsuk Kang

According to our database, Yoonsuk Kang authored at least 8 papers between 2016 and 2022.

Collaborative distances:

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

2022

Community reinforcement: An effective and efficient preprocessing method for accurate community detection.

Yoonsuk Kang, Jun Seok Lee, Won-Yong Shin, Sang-Wook Kim

Knowl. Based Syst., 2022

2021

${\sf FORESEE}$FORESEE: An Effective and Efficient Framework for Estimating the Execution Times of IO Traces on the SSD.

Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Wan D. Bae, Wonjun Lee, Sang-Wook Kim

IEEE Trans. Computers, 2021

Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks.

Yoonsuk Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

CR-Graph: Community Reinforcement for Accurate Community Detection.

Yoonsuk Kang, Jun Seok Lee, Won-Yong Shin, Sang-Wook Kim

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2017

A Framework for Estimating Execution Times of IO Traces on SSDs.

Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Wan D. Bae, Sang-Wook Kim

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

The uFLIP benchmark revisited for evaluating SSDs.

Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Sang-Wook Kim, Youngkyun Shin

Int. J. Commun. Syst., 2016

A methodology for estimating execution times of IO traces in SSDs: student research abstract.

Yoonsuk Kang

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Comparison of visual discomfort when viewing 3D videos with various contrast changes on a stereoscopic 3D display, an autostereoscopic display, and an HMD.

Yoonsuk Kang, Sungho Cho

Proceedings of the Stereoscopic Displays and Applications XXVII, 2016