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2020 – today
- 2022
[j5]Kyeongbo Kong, Junggi Lee, Youngchul Kwak, Young-Rae Cho, Seong-Eun Kim, Woo-Jin Song:
Penalty based robust learning with noisy labels. Neurocomputing 489: 112-127 (2022)- 2021
- [i1]Kyeongbo Kong, Junggi Lee, Youngchul Kwak, Young-Rae Cho, Seong-Eun Kim, Woo-Jin Song:
Mitigating Memorization in Sample Selection for Learning with Noisy Labels. CoRR abs/2107.07041 (2021) - 2020
- [j4]Junggi Lee, Kyeongbo Kong, Gyu Jin Bae, Woo-Jin Song:
BlockNet: A Deep Neural Network for Block-Based Motion Estimation Using Representative Matching. Symmetry 12(5): 840 (2020)
2010 – 2019
- 2019
- [j3]Kyeongbo Kong, Junggi Lee, Youngchul Kwak, Minsung Kang, Seong Gyun Kim, Woo-Jin Song
:
Recycling: Semi-Supervised Learning With Noisy Labels in Deep Neural Networks. IEEE Access 7: 66998-67005 (2019) - [j2]Kyeongbo Kong, Seung-Jun Shin, Junggi Lee, Woo-Jin Song:
How to Estimate Global Motion Non-Iteratively From a Coarsely Sampled Motion Vector Field. IEEE Trans. Circuits Syst. Video Technol. 29(12): 3729-3742 (2019) - 2011
- [j1]Romeo Ortega, Laurent Praly, Alessandro Astolfi, Junggi Lee, Kwanghee Nam:
Estimation of Rotor Position and Speed of Permanent Magnet Synchronous Motors With Guaranteed Stability. IEEE Trans. Control. Syst. Technol. 19(3): 601-614 (2011)
2000 – 2009
- 2008
- [c1]Junggi Lee, Kwanghee Nam, Seoho Choi, Soonwoo Kwon:
Loss Minimizing Control of PMSM with the Use of Polynomial Approximations. IAS 2008: 1-9
Coauthor Index
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