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ORCIDYoonsuk Kang
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2020 – today
- 2022
[j3]Yoonsuk Kang, Jun Seok Lee, Won-Yong Shin
, Sang-Wook Kim:
Community reinforcement: An effective and efficient preprocessing method for accurate community detection. Knowl. Based Syst. 237: 107741 (2022)- 2021
- [j2]Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Wan D. Bae, Wonjun Lee, Sang-Wook Kim:
${\sf FORESEE}$FORESEE: An Effective and Efficient Framework for Estimating the Execution Times of IO Traces on the SSD. IEEE Trans. Computers 70(12): 2146-2160 (2021) - [c5]Yoonsuk Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim:
Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks. ICDM 2021: 1150-1155 - 2020
- [c4]Yoonsuk Kang, Jun Seok Lee, Won-Yong Shin, Sang-Wook Kim:
CR-Graph: Community Reinforcement for Accurate Community Detection. CIKM 2020: 2077-2080
2010 – 2019
- 2017
- [c3]Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Wan D. Bae, Sang-Wook Kim:
A Framework for Estimating Execution Times of IO Traces on SSDs. CIKM 2017: 2123-2126 - 2016
- [j1]Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Sang-Wook Kim, Youngkyun Shin:
The uFLIP benchmark revisited for evaluating SSDs. Int. J. Commun. Syst. 29(14): 2100-2111 (2016) - [c2]Yoonsuk Kang, Sungho Cho:
Comparison of visual discomfort when viewing 3D videos with various contrast changes on a stereoscopic 3D display, an autostereoscopic display, and an HMD. SD&A 2016: 1-5 - [c1]Yoonsuk Kang:
A methodology for estimating execution times of IO traces in SSDs: student research abstract. SAC 2016: 1011-1012
Coauthor Index
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