Seongku Kang

According to our database, Seongku Kang authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Jaehyun Lee, SeongKu Kang, Hwanjo Yu

CoRR, 2024

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

Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, Soyeon Chun, Hyunseo Kim, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee

CoRR, 2024

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

SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han

CoRR, 2024

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

Jieyong Kim, Ryang Heo, Yongsik Seo, SeongKu Kang, Jinyoung Yeo, Dongha Lee

CoRR, 2024

Top-Personalized-K Recommendation.

Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu

CoRR, 2024

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

Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu

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

2023

Learning Topology-Specific Experts for Molecular Property Prediction.

Su Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu

CoRR, 2023

Distillation from Heterogeneous Models for Top-K Recommendation.

SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu

Proceedings of the ACM Web Conference 2023, 2023

MvFS: Multi-view Feature Selection for Recommender System.

Youngjune Lee, Yeongjong Jeong, Keunchan Park, SeongKu Kang

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

Learning Topology-Specific Experts for Molecular Property Prediction.

Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu

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

2022

Personalized Knowledge Distillation for Recommender System.

SeongKu Kang, Dongha Lee, Wonbin Kweon, Hwanjo Yu

Knowl. Based Syst., 2022

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

Hyunjun Ju, Dongha Lee, SeongKu Kang, Hwanjo Yu

Inf. Sci., 2022

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

Dongha Lee, Jiaming Shen, Seongku Kang, Susik Yoon, Jiawei Han, Hwanjo Yu

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.

Seongku Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu

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

Obtaining Calibrated Probabilities with Personalized Ranking Models.

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.

SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu

Inf. Sci., 2021

Bidirectional Distillation for Top-K Recommender System.

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.

Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu

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

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

Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu

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.

Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu

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

Topology Distillation for Recommender System.

SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu

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.

Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu

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

Multi-Modal Component Embedding for Fake News Detection.

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.

SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu

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.

SeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu

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