Dongmin Hyun

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 32

Top Topics

Sentiment Analysis

Item Recommendation

Recommender Systems

Supervised Learning

Top Venues

Publications

Kibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park
MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation. CoRR (2023)
Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer. NeurIPS (2023)
Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park
Conditional Graph Information Bottleneck for Molecular Relational Learning. CoRR (2023)
Junsu Cho, Dongmin Hyun, Dong won Lim, Hyeon jae Cheon, Hyoung-iel Park, Hwanjo Yu
Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation. AAAI (2023)
Kibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park
MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation. SIGIR (2023)
Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park
Conditional Graph Information Bottleneck for Molecular Relational Learning. ICML (2023)
Yunhak Oh, Sukwon Yun, Dongmin Hyun, Sein Kim, Chanyoung Park
MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement. CoRR (2023)
Junsu Cho, Dongmin Hyun, Dong won Lim, Hyeon jae Cheon, Hyoung-iel Park, Hwanjo Yu
Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation. CoRR (2023)
Yunhak Oh, Sukwon Yun, Dongmin Hyun, Sein Kim, Chanyoung Park
MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement. CIKM (2023)
Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park
Predicting Density of States via Multi-modal Transformer. CoRR (2023)
Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park
Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis. AAAI (2023)
Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer. CoRR (2023)
Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis. CoRR (2022)
Namkyeong Lee, Dongmin Hyun, Junseok Lee, Chanyoung Park
Relational Self-Supervised Learning on Graphs. CoRR (2022)
Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment. CoRR (2022)
Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment. SIGIR (2022)
Namkyeong Lee, Dongmin Hyun, Junseok Lee, Chanyoung Park
Relational Self-Supervised Learning on Graphs. CIKM (2022)
Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. EMNLP (Findings) (2022)
Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. CIKM (2022)
Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. CoRR (2022)
Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. CoRR (2022)
Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. CoRR (2021)
Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu
Unsupervised Proxy Selection for Session-based Recommender Systems. CoRR (2021)
Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. CoRR (2021)
Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. ICDM (2021)
Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu
Unsupervised Proxy Selection for Session-based Recommender Systems. SIGIR (2021)
Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. WWW (2021)
Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu
Learning to utilize auxiliary reviews for recommendation. Inf. Sci. 545 (2021)
Dongmin Hyun, Junsu Cho, Hwanjo Yu
Building Large-Scale English and Korean Datasets for Aspect-Level Sentiment Analysis in Automotive Domain. COLING (2020)
Dongmin Hyun, Junsu Cho, Chanyoung Park, Hwanjo Yu
Interest Sustainability-Aware Recommender System. ICDM (2020)
Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu
Target-aware convolutional neural network for target-level sentiment analysis. Inf. Sci. 491 (2019)
Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu
Review Sentiment-Guided Scalable Deep Recommender System. SIGIR (2018)