Residual Correction in Real-Time Traffic Forecasting. - Daejin Kim; Youngin Cho; Dongmin Kim; Cheonbok Park; Jaegul Choo (CIKM, 2022)

Mining Multi-Label Samples from Single Positive Labels. - Youngin Cho; Daejin Kim; Mohammad Azam Khan; Jaegul Choo (NeurIPS, 2022)

WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting. - Youngin Cho; Daejin Kim; Dongmin Kim; Mohammad Azam Khan; Jaegul Choo (NeurIPS, 2022)

Mining Multi-Label Samples from Single Positive Labels. - Youngin Cho; Daejin Kim; Mohammad Azam Khan (CoRR, 2022)

Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density. - Junwoo Park; Jungsoo Lee; Youngin Cho; Woncheol Shin; Dongmin Kim; Jaegul Choo; Edward Choi (ECML/PKDD (5), 2023)

Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization. - Youngin Cho; Junsoo Lee; Soyoung Yang; Juntae Kim; Yeojeong Park; Haneol Lee; Mohammad Azam Khan; Daesik Kim; Jaegul Choo (WACV, 2023)