Timing-offset independent equalization techniques for robust indoor reception of ATSC DTV receivers. - Dae-Jin Kim; Sung Woo Park; Young Han Kim; Won-Sik Yoon (IEEE Trans. Consumer Electron., 2000)

Equalization techniques based on fast RLS algorithms to improve mobile reception performance of 8-VSB receivers. - Young Ho Oh; Sung Woo Park; Seong-Joon Baek; Dae-Jin Kim (IEEE Trans. Consumer Electron., 2002)

Construction of a Real-time Urban Inundation Analysis System based on UIS using SWMM. - Ki-Uk Kim; Sung Woo Park; Seonghyun Shin; Hyun-Suk Hwang; Tae Gun Jeon; Chang Soo Kim (SERA, 2007)

Randomized, multi-center, open-label, parallel group study to effect of SMARTCARE-diabetes management system on subject with diabetes. - Hun-Sung Kim; Jae Hyoung Cho; Cheol-Young Park; Woo Je Lee; Joong-Yeol Park; Sung Woo Park; Kun-Ho Yoon (ICTC, 2012)

Maximum Stress Estimation Model for Multi-Span Waler Beams with Deflections at the Supports Using Average Strains. - Sung Woo Park; Byung Kwan Oh; Hyo Seon Park (Sensors, 2015)

Sphere Generative Adversarial Network Based on Geometric Moment Matching. - Sung Woo Park; Junseok Kwon (CVPR, 2019)

3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions. - Dong Wook Shu; Sung Woo Park; Junseok Kwon (ICCV, 2019)

Orthogonal object proposal and its application. - Sung Woo Park; Junseok Kwon (IET Comput. Vis., 2019)

Deep Diffusion-Invariant Wasserstein Distributional Classification. - Sung Woo Park; Dong Wook Shu; Junseok Kwon (NeurIPS, 2020)

Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data. - Sung Woo Park; Junseok Kwon (ICML, 2021)

Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation. - Sung Woo Park; Dong Wook Shu; Junseok Kwon (ICML, 2021)

Pixel-Wise Wasserstein Autoencoder for Highly Generative Dehazing. - Guisik Kim; Sung Woo Park; Junseok Kwon (IEEE Trans. Image Process., 2021)

Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data. - Sung Woo Park; Kyungjae Lee; Junseok Kwon (ICLR, 2022)

Riemannian Neural SDE: Learning Stochastic Representations on Manifolds. - Sung Woo Park; Hyomin Kim; Kyungjae Lee; Junseok Kwon (NeurIPS, 2022)

Self-Augmentation Based on Noise-Robust Probabilistic Model for Noisy Labels. - Byoung Woo Park; Sung Woo Park; Junseok Kwon (IEEE Access, 2022)

Riemannian submanifold framework for log-Euclidean metric learning on symmetric positive definite manifolds. - Sung Woo Park; Junseok Kwon (Expert Syst. Appl., 2022)

SphereGAN: Sphere Generative Adversarial Network Based on Geometric Moment Matching and its Applications. - Sung Woo Park; Junseok Kwon (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Wasserstein distributional harvesting for highly dense 3D point clouds. - Dong Wook Shu; Sung Woo Park; Junseok Kwon (Pattern Recognit., 2022)