Review Sentiment-Guided Scalable Deep Recommender System. - Dongmin Hyun; Chanyoung Park 001; Min-Chul Yang; Ilhyeon Song; Jung-Tae Lee; Hwanjo Yu (SIGIR, 2018)

Target-aware convolutional neural network for target-level sentiment analysis. - Dongmin Hyun; Chanyoung Park 001; Min-Chul Yang; Ilhyeon Song; Jung-Tae Lee; Hwanjo Yu (Inf. Sci., 2019)

Building Large-Scale English and Korean Datasets for Aspect-Level Sentiment Analysis in Automotive Domain. - Dongmin Hyun; Junsu Cho; Hwanjo Yu (COLING, 2020)

Interest Sustainability-Aware Recommender System. - Dongmin Hyun; Junsu Cho; Chanyoung Park 001; Hwanjo Yu (ICDM, 2020)

Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. - Dongha Lee 003; Dongmin Hyun; Jiawei Han 001; Hwanjo Yu (ICDM, 2021)

Unsupervised Proxy Selection for Session-based Recommender Systems. - Junsu Cho; SeongKu Kang; Dongmin Hyun; Hwanjo Yu (SIGIR, 2021)

Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. - Junsu Cho; Dongmin Hyun; SeongKu Kang; Hwanjo Yu (WWW, 2021)

Learning to utilize auxiliary reviews for recommendation. - Dongmin Hyun; Chanyoung Park 001; Junsu Cho; Hwanjo Yu (Inf. Sci., 2021)

Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. - Dongmin Hyun; Chanyoung Park 001; Junsu Cho; Hwanjo Yu (CIKM, 2022)

Relational Self-Supervised Learning on Graphs. - Namkyeong Lee; Dongmin Hyun; Junseok Lee 002; Chanyoung Park 001 (CIKM, 2022)

Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. - Dongmin Hyun; Xiting Wang; Chanyoung Park 001; Xing Xie 001; Hwanjo Yu (EMNLP (Findings), 2022)

GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment. - Junseok Lee 002; Yunhak Oh; Yeonjun In; Namkyeong Lee; Dongmin Hyun; Chanyoung Park 001 (SIGIR, 2022)

Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation. - Junsu Cho; Dongmin Hyun; Dong won Lim; Hyeon jae Cheon; Hyoung-iel Park; Hwanjo Yu (AAAI, 2023)

Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis. - Sein Kim; Namkyeong Lee; Junseok Lee 002; Dongmin Hyun; Chanyoung Park 001 (AAAI, 2023)

MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement. - Yunhak Oh; Sukwon Yun; Dongmin Hyun; Sein Kim; Chanyoung Park 001 (CIKM, 2023)

Conditional Graph Information Bottleneck for Molecular Relational Learning. - Namkyeong Lee; Dongmin Hyun; Gyoung S. Na; Sungwon Kim 002; Junseok Lee 002; Chanyoung Park 001 (ICML, 2023)

Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer. - Namkyeong Lee; Heewoong Noh; Sungwon Kim 002; Dongmin Hyun; Gyoung S. Na; Chanyoung Park 001 (NeurIPS, 2023)

MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation. - Kibum Kim; Dongmin Hyun; Sukwon Yun; Chanyoung Park 001 (SIGIR, 2023)

Predicting Density of States via Multi-modal Transformer. - Namkyeong Lee; Heewoong Noh; Sungwon Kim 002; Dongmin Hyun; Gyoung S. Na; Chanyoung Park 001 (CoRR, 2023)