Intelligent Product Design. - Han Nwi Lee; Yeseul Namkoung; Heather Jin Hee Kim; Seul Lee; Daun Jeong; Hyunji Seo; Soyeon Park; Kyeongah Lee; Sunbin Yang; Jimin Choi; Yeeun Kim; Jung-Ju Choi; et al. (HRI (Extended Abstracts), 2015)

Discovery of Smartphone User Group Profiling Based on User's Motivations and Usage Behaviors Through Focus Group Interviews. - Jimin Rhim; Seul Lee; Young Yim Doh (HCI (11), 2016)

Localization of ultrasound waveform for low intensity ultrasound-induced neuromodulation in a mouse model. - Kang-Il Song; Seul Lee; Sunghee E. Park; Dosik Hwang; Hyungmin Kim 001; Inchan Youn (EMBC, 2017)

Characterizing Signals Within Lesions and Mapping Brain Network Connectivity After Traumatic Axonal Injury: A 7 Tesla Resting-State FMRI Study. - Seul Lee; Jonathan R. Polimeni; Collin M. Price; Brian L. Edlow; Jennifer A. McNab (Brain Connect., 2018)

Edge Representation Learning with Hypergraphs. - Jaehyeong Jo; Jinheon Baek; Seul Lee; Dongki Kim; Minki Kang; Sung Ju Hwang (NeurIPS, 2021)

Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation. - Soojung Yang; Doyeong Hwang; Seul Lee; Seongok Ryu; Sung Ju Hwang (NeurIPS, 2021)

Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations. - Jaehyeong Jo; Seul Lee; Sung Ju Hwang (ICML, 2022)

Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning. - Jun-Ho Kim; Mohammed A. Al-masni; Seul Lee; Haejoon Lee; Dong-Hyun Kim 008 (MICCAI (1), 2022)

Stacked U-Nets with self-assisted priors towards robust correction of rigid motion artifact in brain MRI. - Mohammed A. Al-masni; Seul Lee; Jaeuk Yi; Sewook Kim; Sung-Min Gho; Young Hun Choi; Dong-Hyun Kim 008 (NeuroImage, 2022)

Exploring Chemical Space with Score-based Out-of-distribution Generation. - Seul Lee; Jaehyeong Jo; Sung Ju Hwang (ICML, 2023)

Toward Automated Detection of Microbleeds with Anatomical Scale Localization: A Complete Clinical Diagnosis Support Using Deep Learning. - Jun-Ho Kim; Young Noh; Haejoon Lee; Seul Lee; Woo-Ram Kim; Koung Mi Kang; Eung-Yeop Kim; Mohammed A. Al-masni; Dong-Hyun Kim 008 (CoRR, 2023)

Drug Discovery with Dynamic Goal-aware Fragments. - Seul Lee; Seanie Lee; Sung Ju Hwang (CoRR, 2023)

A knowledge interaction learning for multi-echo MRI motion artifact correction towards better enhancement of SWI. - Mohammed A. Al-masni; Seul Lee; Abobakr Khalil Alshamiri; Sung-Min Gho; Young Hun Choi; Dong-Hyun Kim 008 (Comput. Biol. Medicine, 2023)

A Simple and Scalable Representation for Graph Generation. - Yunhui Jang; Seul Lee; Sungsoo Ahn (ICLR, 2024)

Drug Discovery with Dynamic Goal-aware Fragments. - Seul Lee; Seanie Lee; Kenji Kawaguchi; Sung Ju Hwang (ICML, 2024)

Evolving Definitions of Hate Speech: The Impact of a Lack of Standardized Definitions. - Seul Lee; Anne J. Gilliland-Swetland (iConference (2), 2024)

Molecule Generation with Fragment Retrieval Augmentation. - Seul Lee; Karsten Kreis; Srimukh Prasad Veccham; Meng Liu 015; Danny Reidenbach; Saee Paliwal; Arash Vahdat; Weili Nie (NeurIPS, 2024)

Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship. - Eunji Ko; Seul Lee; Minseon Kim; Dongki Kim (CoRR, 2024)

Unsupervised learning for motion correction and assessment in brain magnetic resonance imaging using severity-based regularized cycle consistency. - Seuk Kim; Mohammed A. Al-masni; Seul Lee; Sunyoung Jung; Kyu-Jin Jung; Chuanjiang Cui; Sung-Min Gho; Young Hun Choi; Dong-Hyun Kim (Eng. Appl. Artif. Intell., 2025)

Toward automated detection of microbleeds with anatomical scale localization using deep learning. - Jun-Ho Kim; Young Noh; Haejoon Lee; Seul Lee; Woo-Ram Kim; Koung Mi Kang; Eung-Yeop Kim; Mohammed A. Al-masni; Donghyun Kim 008 (Medical Image Anal., 2025)

GenMol: A Drug Discovery Generalist with Discrete Diffusion. - Seul Lee; Karsten Kreis; Srimukh Prasad Veccham; Meng Liu 015; Danny Reidenbach; Yuxing Peng 005; Saee Paliwal; Weili Nie; Arash Vahdat (CoRR, 2025)