Dongmin Hyun - RankMe

33 papers A* 11A 3B 1Journal 17Unranked 1

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