Sungwoo Park

Assistant Professor, Korea University

Joined

February 2020

Names

Sungwoo Park (Preferred)

Sung Woo Park

Emails

****@gmail.com (Confirmed)

****@lgresearch.ai (Confirmed)

****@berkeley.edu (Confirmed)

****@korea.ac.kr (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Assistant Professor

Korea University (korea.ac.kr)

2025 – Present

Researcher

LG AI Research (lgresearch.ai)

2022 – 2025

Postdoc

EECS, University of California, Berkeley (berkeley.edu)

2023 – 2024

PhD student

ChungAng University (cau.ac.kr)

2018 – 2023

Advisors, Relations & Conflicts

Postdoc Advisor

Ahmed Alaa

2023 – 2024

PhD Advisor

Junseok Kwon

2018 – 2023

Expertise

Generative Modeling

Present

Publications

CooPredict : Cooperative Differential Games For Time Series Prediction
Sung Woo Park, Byoungwoo Park, Changhee Lee, Junseok Kwon
- 22 Sept 2022 (modified: 03 May 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
Riemannian Neural SDE: Learning Stochastic Representations on Manifolds
Sung Woo Park, Hyomin Kim, Kyungjae Lee, Junseok Kwon
- Published: 31 Oct 2022, Last Modified: 08 Oct 2022
- NeurIPS 2022 Accept
- Readers: Everyone
Riemannian Neural SDE: Learning Stochastic Representations on Manifolds
Sung Woo Park, Hyomin Kim, Hyeseong Kim, Junseok Kwon
- Published: 25 Mar 2022, Last Modified: 05 May 2023
- GTRL 2022 Poster
- Readers: Everyone
Wasserstein distributional harvesting for highly dense 3D point clouds
Dong Wook Shu, Sung Woo Park, Junseok Kwon
- 2022 (modified: 16 Nov 2022)
- Pattern Recognit. 2022
- Readers: Everyone
SphereGAN: Sphere Generative Adversarial Network Based on Geometric Moment Matching and its Applications
Sung Woo Park, Junseok Kwon
- 2022 (modified: 16 Nov 2022)
- IEEE Trans. Pattern Anal. Mach. Intell. 2022
- Readers: Everyone
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data
Sung Woo Park, Kyungjae Lee, Junseok Kwon
- 2022 (modified: 16 Nov 2022)
- ICLR 2022
- Readers: Everyone
Self-Augmentation Based on Noise-Robust Probabilistic Model for Noisy Labels
Byoung Woo Park, Sung Woo Park, Junseok Kwon
- 2022 (modified: 16 Nov 2022)
- IEEE Access 2022
- Readers: Everyone
Riemannian submanifold framework for log-Euclidean metric learning on symmetric positive definite manifolds
Sung Woo Park, Junseok Kwon
- 2022 (modified: 16 Nov 2022)
- Expert Syst. Appl. 2022
- Readers: Everyone
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data
Sung Woo Park, Kyungjae Lee, Junseok Kwon
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Poster
- Readers: Everyone
Wasserstein Distributional Normalization : Nonparametric Stochastic Modeling for Handling Noisy Labels
Sung Woo Park, Junseok Kwon
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone

View all 14 publications