A Minimum Attention Control Law for Ball Catching. - Cheongjae Jang; Jee-eun Lee; Sohee Lee; Frank C. Park 001 (Living Machines, 2014)

Toward on-line parameter estimation of concentric tube robots using a mechanics-based kinematic model. - Cheongjae Jang; Junhyoung Ha; Pierre E. Dupont; Frank Chongwoo Park (IROS, 2016)

A Riemannian geometric framework for manifold learning of non-Euclidean data. - Cheongjae Jang; Yung-Kyun Noh; Frank Chongwoo Park (Adv. Data Anal. Classif., 2021)

Learning to increase matching efficiency in identifying additional b-jets in the tt̅b̅ process. - Cheongjae Jang; Sang-Kyun Ko; Yung-Kyun Noh; Jieun Choi; Jongwon Lim; Tae-Jeong Kim (CoRR, 2021)

A Reparametrization-Invariant Sharpness Measure Based on Information Geometry. - Cheongjae Jang; Sungyoon Lee; Frank C. Park 001; Yung-Kyun Noh (NeurIPS, 2022)

Geometrically regularized autoencoders for non-Euclidean data. - Cheongjae Jang; Yonghyeon Lee; Yung-Kyun Noh; Frank C. Park 001 (ICLR, 2023)

A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution. - Sungyoon Lee; Cheongjae Jang (ICLR, 2023)

ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications. - Hochul Hwang; Cheongjae Jang; Geonwoo Park; Junghyun Cho; Ig-Jae Kim (IEEE Access, 2023)

DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function. - Jae-Won Lee; Jong-Hyun Won; Seonggwang Jeon; Yujin Choo; Yubin Yeon; Jin-Seon Oh; Minsoo Kim; Seonhwa Kim; InSuk Joung; Cheongjae Jang; Sung Jong Lee; Tae Hyun Kim; et al. (Bioinform., 2023)

Graph Geometry-Preserving Autoencoders. - Jungbin Lim; Jihwan Kim; Yonghyeon Lee; Cheongjae Jang; Frank C. Park 001 (ICML, 2024)