
Yeonsu Kim
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2020 – today
- 2020
- [c5]Jun Ho Heo, Ginam Kim, Jaeseo Park, Yeonsu Kim, Sung-Sik Cho, Chang Won Lee, Suk-Ju Kang:
Lightweight Deep Neural Network-based Real-Time Pose Estimation on Embedded Systems. IV 2020: 1066-1071
2010 – 2019
- 2019
- [c4]Woo Ho Lee, Bongnam Noh, Yeonsu Kim, Kimoon Jeong:
Generation of Network Traffic Using WGAN-GP and a DFT Filter for Resolving Data Imbalance. IDCS 2019: 306-317 - [c3]Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee:
Towards Condition-Independent Deep Mobile Sensing. MobiSys 2019: 554-555 - [c2]Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee:
MetaSense: few-shot adaptation to untrained conditions in deep mobile sensing. SenSys 2019: 110-123 - 2016
- [j1]Hyunuk An
, Tran The Viet, Giha Lee, Yeonsu Kim, Minseok Kim, Seong Jin Noh, Jaekyoung Noh
:
Development of time-variant landslide-prediction software considering three-dimensional subsurface unsaturated flow. Environ. Model. Softw. 85: 172-183 (2016) - 2013
- [c1]Seong Jin Noh, Yasuto Tachikawa, Kyoungjun Kim, Michiharu Shiiba, Yeonsu Kim:
Flood forecasting and uncertainty assessment with sequential data assimilation using a distributed hydrologic model. FUSION 2013: 1378-1384
Coauthor Index

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