Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional Network. - Sungwon Hwang; Hyungtae Lim; Hyun Myung (BMVC, 2021)

Low-level Pose Control of Tilting Multirotor for Wall Perching Tasks Using Reinforcement Learning. - Hyungyu Lee; Myeongwoo Jeong; Chanyoung Kim 002; Hyungtae Lim; Changgue Park; Sungwon Hwang; Hyun Myung (IROS, 2021)

Multiscale modeling of dendrite formation in lithium-ion batteries. - Hyeonggeon Lee; Niranjan Sitapure; Sungwon Hwang; Joseph Sang-Il Kwon (Comput. Chem. Eng., 2021)

ERASOR: Egocentric Ratio of Pseudo Occupancy-Based Dynamic Object Removal for Static 3D Point Cloud Map Building. - Hyungtae Lim; Sungwon Hwang; Hyun Myung (IEEE Robotics Autom. Lett., 2021)

Mitigation of intra-cycle mechano-chemical degradation-based capacity fade in Lithium-ion batteries: Application of a model predictive controller. - Gyuyeong Hwang; Niranjan Sitapure; Jiyoung Moon; Sungwon Hwang; Joseph Sang-Il Kwon (ACC, 2022)

Software platform for high-fidelity-data-based artificial neural network modeling and process optimization in chemical engineering. - Jiyoung Moon; Dela Quarme Gbadago; Gyuyeong Hwang; Dongjun Lee; Sungwon Hwang (Comput. Chem. Eng., 2022)

Dynamic modeling and predictive control of boil-off gas generation during LNG loading. - Kyeongseok Shin; Sang Hwan Son; Jiyoung Moon; Yeonpyeong Jo; Joseph Sang-Il Kwon; Sungwon Hwang (Comput. Chem. Eng., 2022)

Local 3D Editing via 3D Distillation of CLIP Knowledge. - Junha Hyung; Sungwon Hwang; Daejin Kim; Hyunji Lee; Jaegul Choo (CVPR, 2023)

FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields. - Sungwon Hwang; Junha Hyung; Daejin Kim; Min-Jung Kim 001; Jaegul Choo (ICCV, 2023)

Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model. - Sungwon Hwang; Junha Hyung; Jaegul Choo (CoRR, 2023)

VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting Using Learned Priors. - Sungwon Hwang; Min-Jung Kim 001; Taewoong Kang; Jayeon Kang; Jaegul Choo (ECCV (55), 2024)

Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting. - Junha Hyung; Susung Hong; Sungwon Hwang; Jaeseong Lee; Jaegul Choo; Jin-Hwa Kim (NeurIPS, 2024)

SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars. - Jaeseong Lee; Taewoong Kang; Marcel C. Bühler; Min-Jung Kim 001; Sungwon Hwang; Junha Hyung; Hyojin Jang; Jaegul Choo (ICLR, 2025)

A leap forward in chemical process design: Introducing an automated framework for integrated AI and CFD simulations. - Dela Quarme Gbadago; Sejin Go; Sungwon Hwang (Comput. Chem. Eng., 2025)

SphereDiff: Tuning-free Omnidirectional Panoramic Image and Video Generation via Spherical Latent Representation. - Minho Park 003; Taewoong Kang; Jooyeol Yun; Sungwon Hwang; Jaegul Choo (CoRR, 2025)

Cross-Frame Representation Alignment for Fine-Tuning Video Diffusion Models. - Sungwon Hwang; Hyojin Jang; Kinam Kim; Minho Park 003; Jaegul Choo (CoRR, 2025)