Junggi Lee

According to our database, Junggi Lee authored at least 7 papers between 2008 and 2022.

Collaborative distances:

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

2022

Penalty based robust learning with noisy labels.

Kyeongbo Kong, Junggi Lee, Youngchul Kwak, Young-Rae Cho, Seong-Eun Kim, Woo-Jin Song

Neurocomputing, 2022

2021

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

2020

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

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

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

2011

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

2008

Loss Minimizing Control of PMSM with the Use of Polynomial Approximations.

Junggi Lee, Kwanghee Nam, Seoho Choi, Soonwoo Kwon

Proceedings of the Industry Applications Society Annual Meeting, 2008