Loss Minimizing Control of PMSM with the Use of Polynomial Approximations. - Junggi Lee; Kwanghee Nam; Seoho Choi; Soonwoo Kwon (IAS, 2008)

Estimation of Rotor Position and Speed of Permanent Magnet Synchronous Motors With Guaranteed Stability. - Romeo Ortega; Laurent Praly; Alessandro Astolfi; Junggi Lee; Kwanghee Nam (IEEE Trans. Control. Syst. Technol., 2011)

Recycling: Semi-Supervised Learning With Noisy Labels in Deep Neural Networks. - Kyeongbo Kong; Junggi Lee; Youngchul Kwak; Minsung Kang; Seong Gyun Kim; Woo-Jin Song (IEEE Access, 2019)

How to Estimate Global Motion Non-Iteratively From a Coarsely Sampled Motion Vector Field. - Kyeongbo Kong; Seung-Jun Shin; Junggi Lee; Woo-Jin Song (IEEE Trans. Circuits Syst. Video Technol., 2019)

BlockNet: A Deep Neural Network for Block-Based Motion Estimation Using Representative Matching. - Junggi Lee; Kyeongbo Kong; Gyu Jin Bae; Woo-Jin Song (Symmetry, 2020)

Mitigating Memorization in Sample Selection for Learning with Noisy Labels. - Kyeongbo Kong; Junggi Lee; Youngchul Kwak; Young-Rae Cho; Seong-Eun Kim; Woo-Jin Song (CoRR, 2021)

Penalty based robust learning with noisy labels. - Kyeongbo Kong; Junggi Lee; Youngchul Kwak; Young-Rae Cho; Seong-Eun Kim; Woo-Jin Song (Neurocomputing, 2022)