Dongmin Hyun

Orcid: 0000-0001-7757-3227

According to our database1, Dongmin Hyun authored at least 19 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Predicting Density of States via Multi-modal Transformer.
CoRR, 2023

MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Conditional Graph Information Bottleneck for Molecular Relational Learning.
Proceedings of the International Conference on Machine Learning, 2023

MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Relational Self-Supervised Learning on Graphs.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Learning to utilize auxiliary reviews for recommendation.
Inf. Sci., 2021

Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Unsupervised Proxy Selection for Session-based Recommender Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Out-of-Category Document Identification Using Target-Category Names as Weak Supervision.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Interest Sustainability-Aware Recommender System.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Building Large-Scale English and Korean Datasets for Aspect-Level Sentiment Analysis in Automotive Domain.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Target-aware convolutional neural network for target-level sentiment analysis.
Inf. Sci., 2019

2018
Review Sentiment-Guided Scalable Deep Recommender System.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018


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