GAN2GAN: Generative Noise Learning for Blind Image Denoising with Single Noisy Images. - Sungmin Cha; Taeeon Park; Taesup Moon (CoRR, 2019)

Unsupervised Neural Universal Denoiser for Finite-Input General-Output Noisy Channel. - Taeeon Park; Taesup Moon (AISTATS, 2020)

Fair Feature Distillation for Visual Recognition. - Sangwon Jung; Donggyu Lee; Taeeon Park; Taesup Moon (CVPR, 2021)

GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images. - Sungmin Cha; Taeeon Park; Byeongjoon Kim; Jongduk Baek; Taesup Moon (ICLR, 2021)

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; Taesup Moon (IEEE Access, 2022)

Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. - Sangwon Jung; Taeeon Park; Sanghyuk Chun; Taesup Moon (ICLR, 2023)

FairDRO: Group fairness regularization via classwise robust optimization. - Taeeon Park; Sangwon Jung; Sanghyuk Chun; Taesup Moon (Neural Networks, 2025)