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Personal Information
Personal Information
Name : Taeeon Park (박태언)
E-mail : pte1235@snu.ac.kr / pte1236@gmail.com
Lab : M.IN.D Lab (Advisor : Taesup Moon)
Course : Ph.D. Student in Seoul National University (서울대학교)
Research Topics
Research Topics
Fairness
Universal Denoising
Education
Education
Ph.D. [2021.09 ~ ]
- Department of Electrical and Computer Engineering, SNU
M.S. [2019.03 ~ 2021.08]
- Department of Electical & Computer Engineering, SKKU
B.S. [2013.03 ~ 2019.02]
- Department of Mathematics, SKKU
- (Double major) Department of Electronic and Electrical Engineering, SKKU
Publications
Publications
Conference Papers
[C4] Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
- Sangwon Jung*, Taeeon Park*, Sanghyuk Chun and Taesup Moon- International Conference on Learning Representations (ICLR), May 2023[C3] Fair Feature Distillation for Visual Recognition
- Sangwon Jung*, Donggyu Lee*, Taeeon Park* and Taesup Moon- Conference on Computer Vision and Pattern Recognition (CVPR), June 2021[C2] GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images
- Sungmin Cha, Taeeon Park, Byeongjoon Kim, Jongduk Baek and Taesup Moon- International Conference on Learning Representations (ICLR), May 2021[C1] Unsupervised Neural Universal Denoiser for Finite-Input General-Output Noisy Channel
- Taeeon Park and Taesup Moon- International Conference on Artificial Intelligence and Statistics (AISTATS), June 2020Journal Papers
[J2] GAN-Based Framework for Unified Estimation of Process-Induced Random Variation in FinFET
- Taeeon Park*, Jihwan Kwak*, Hongjoon Ahn, Jinwoong Lee, Jaehyuk Lim, Sangho Yu, Changhwan Shin and Taesup Moon- IEEE Access, Dec 2022[J1] Prediction model for random variation in FinFET induced by line-edge-roughness (LER)
- Jinwoong Lee, Taeeon Park, Hongjoon Ahn, Jihwan Kwak, Taesup Moon and Changhwan Shin- Electronics, Dec 2021Scholarship
Scholarship
[2019.03 ~ 2021.02] Domestic Scholarship, Kwanjeong Educational Foundation
[2019.03 ~ 2021.02] Scholarship for Graduated School Student, SKKU
[2017.03 ~ 2019.02] Full Scholarship, Lotte Foundation
[2016.09 ~ 2017.02] Alumni Scholarship, Department of Mathematics, SKKU
[2016.09 ~ 2017.08] Academic Excellence Scholarship, Department of Mathematics, SKKU
Experiences
Experiences
[2022.09 ~ 2022.12] Teaching Assistant (Class : Generalization Theory for Machine Learning), SNU
[2021.09 ~ 2021.12] Teaching Assistant (Class : Programming Methodology), SNU
[2020.09 ~ 2020.12] Teaching Assistant (Class : Machine Learning), SKKU
[2020.02 ~ 2020.07] Visiting student researcher, Harvard SEAS (Advisor : Prof. Flavio Calmon)
[2019.09 ~ 2019.12] Teaching Assistant (Class : Convex Optimization), SKKU
[2019.03 ~ 2019.07] Teaching Assistant (Class : Neural Network), SKKU
[2019.02] 3rd prize at 2018 Korea Software Congresee
[2018.01 ~ 2018.02] Internship at Samsung Electronics
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