ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed. - Cheonbok Park; Chunggi Lee; Hyojin Bahng; Yunwon Tae; Seungmin Jin; Kihwan Kim; Sungahn Ko; Jaegul Choo (CIKM, 2020)

Meta-Learning for Low-Resource Unsupervised Neural MachineTranslation. - Yunwon Tae; Cheonbok Park; Taehee Kim; Soyoung Yang; Mohammad Azam Khan; Eunjeong Park; Tao Qin; Jaegul Choo (CoRR, 2020)

Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning. - Cheonbok Park; Yunwon Tae; Taehee Kim; Soyoung Yang; Mohammad Azam Khan; Lucy Park; Jaegul Choo (ACL/IJCNLP (1), 2021)

Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift. - Taesung Kim; Jinhee Kim; Yunwon Tae; Cheonbok Park; Jang-Ho Choi; Jaegul Choo (ICLR, 2022)

Improving Mortality Prediction in ICU by Learning Long-Tailed Population of Patients Through Graph-Domain Aggregation. - Yunseob Shin; Yunwon Tae; Yeha Lee (IEEE Access, 2022)

PePe: Personalized Post-editing Model utilizing User-generated Post-edits. - Jihyeon Lee; Taehee Kim; Yunwon Tae; Cheonbok Park; Jaegul Choo (EACL (Findings), 2023)

A Visual Analytics System for Improving Attention-based Traffic Forecasting Models. - Seungmin Jin; Hyunwook Lee; Cheonbok Park; Hyeshin Chu; Yunwon Tae; Jaegul Choo; Sungahn Ko (IEEE Trans. Vis. Comput. Graph., 2023)

Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram. - Yeongyeon Na; Minje Park; Yunwon Tae; Sunghoon Joo (ICLR, 2024)