Sequential Recommendation with Relation-Aware Kernelized Self-Attention. - Mingi Ji; Weonyoung Joo; Kyungwoo Song; Yoon-Yeong Kim; Il-Chul Moon (AAAI, 2020)

Deep Generative Positive-Unlabeled Learning under Selection Bias. - Byeonghu Na; Hyemi Kim; Kyungwoo Song; Weonyoung Joo; Yoon-Yeong Kim; Il-Chul Moon (CIKM, 2020)

Sequential Likelihood-Free Inference with Implicit Surrogate Proposal. - Dongjun Kim; Kyungwoo Song; Yoon-Yeong Kim; Yongjin Shin; Il-Chul Moon (CoRR, 2020)

LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning. - Yoon-Yeong Kim; Kyungwoo Song; JoonHo Jang; Il-Chul Moon (CoRR, 2020)

LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning. - Yoon-Yeong Kim; Kyungwoo Song; JoonHo Jang; Il-Chul Moon (NeurIPS, 2021)

Black-Box Expectation-Maximization Algorithm for Estimating Latent States of High-Speed Vehicles. - Yoon-Yeong Kim; Hyemi Kim; Wonsung Lee; Han-Lim Choi; Il-Chul Moon (J. Aerosp. Inf. Syst., 2021)

SAAL: Sharpness-Aware Active Learning. - Yoon-Yeong Kim; Youngjae Cho; JoonHo Jang; Byeonghu Na; Yeongmin Kim; Kyungwoo Song; Wanmo Kang; Il-Chul Moon (ICML, 2023)

Sequential Likelihood-Free Inference with Neural Proposal. - Dongjun Kim; Kyungwoo Song; Yoon-Yeong Kim; Yongjin Shin; Wanmo Kang; Il-Chul Moon; Weonyoung Joo (Pattern Recognit. Lett., 2023)

Unknown Domain Inconsistency Minimization for Domain Generalization. - Seungjae Shin; HeeSun Bae; Byeonghu Na; Yoon-Yeong Kim; Il-Chul Moon (ICLR, 2024)

Automatic Seed Word Selection for Topic Modeling. - Dahyun Jeong; Jeongin Hwang; Yunjin Choi; Yoon-Yeong Kim (IEEE Access, 2025)

ARES: Auxiliary Range Expansion for Outlier Synthesis. - Eui-Soo Jung; Hae-Hun Seo; Hyun-Woo Jung; Je-Geon Oh; Yoon-Yeong Kim (CoRR, 2025)