Seongku Kang

Orcid: 0000-0001-5528-1426

According to our database¹, Seongku Kang authored at least 32 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

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On csauthors.net:

Bibliography

2024

Unsupervised Robust Cross-Lingual Entity Alignment via Joint Modeling of Entity and Relation Texts.

[BibT_eX]

[DOI]

CoRR, 2024

Knowledge Distillation Approaches for Accurate and Efficient Recommender System.

[BibT_eX]

[DOI]

SeongKu Kang

CoRR, 2024

Graph Signal Processing for Cross-Domain Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Continual Collaborative Distillation for Recommender System.

[BibT_eX]

[DOI]

CoRR, 2024

Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks.

[BibT_eX]

[DOI]

Jaehyun Lee

SeongKu Kang

Hwanjo Yu

CoRR, 2024

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset.

[BibT_eX]

[DOI]

CoRR, 2024

Top-Personalized-K Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Multi-Domain Sequential Recommendation via Domain Space Learning.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning Topology-Specific Experts for Molecular Property Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Distillation from Heterogeneous Models for Top-K Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

MvFS: Multi-view Feature Selection for Recommender System.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Learning Topology-Specific Experts for Molecular Property Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Personalized Knowledge Distillation for Recommender System.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Mitigating viewpoint sensitivity of self-supervised one-class classifiers.

[BibT_eX]

[DOI]

Inf. Sci., 2022

TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Obtaining Calibrated Probabilities with Personalized Ranking Models.

[BibT_eX]

[DOI]

Wonbin Kweon

SeongKu Kang

Hwanjo Yu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Item-side ranking regularized distillation for recommender system.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Bidirectional Distillation for Top-K Recommender System.

[BibT_eX]

[DOI]

Wonbin Kweon

SeongKu Kang

Hwanjo Yu

Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Bootstrapping User and Item Representations for One-Class Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Unsupervised Proxy Selection for Session-based Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Topology Distillation for Recommender System.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Deep Rating Elicitation for New Users in Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Multi-Modal Component Embedding for Fake News Detection.

[BibT_eX]

[DOI]

SeongKu Kang

Junyoung Hwang

Hwanjo Yu

Proceedings of the 14th International Conference on Ubiquitous Information Management and Communication, 2020

DE-RRD: A Knowledge Distillation Framework for Recommender System.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Seongku Kang

Timeline

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