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Journal Articles
- 2022
[j3]Hyunjun Ju, Dongha Lee, SeongKu Kang, Hwanjo Yu:
Mitigating viewpoint sensitivity of self-supervised one-class classifiers. Inf. Sci. 611: 225-242 (2022)- [j2]SeongKu Kang
, Dongha Lee, Wonbin Kweon, Hwanjo Yu:
Personalized Knowledge Distillation for Recommender System. Knowl. Based Syst. 239: 107958 (2022) - 2021
- [j1]SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
Item-side ranking regularized distillation for recommender system. Inf. Sci. 580: 15-34 (2021)
Conference and Workshop Papers
- 2024
- [c24]Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu:
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. AAAI 2024: 8582-8590 - [c23]Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee:
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. ACL (Findings) 2024: 1105-1120 - [c22]Jieyong Kim, Ryang Heo, Yongsik Seo, SeongKu Kang, Jinyoung Yeo, Dongha Lee:
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy. ACL (Findings) 2024: 7295-7303 - [c21]Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu:
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. CVPR 2024: 22477-22487 - [c20]SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu:
Taxonomy-guided Semantic Indexing for Academic Paper Search. EMNLP 2024: 7169-7184 - [c19]Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu:
Continual Collaborative Distillation for Recommender System. KDD 2024: 1495-1505 - [c18]Junyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu:
Multi-Domain Sequential Recommendation via Domain Space Learning. SIGIR 2024: 2134-2144 - [c17]SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han:
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. WWW 2024: 1497-1508 - [c16]Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu:
Top-Personalized-K Recommendation. WWW 2024: 3388-3399 - 2023
- [c15]Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu:
Learning Topology-Specific Experts for Molecular Property Prediction. AAAI 2023: 8291-8299 - [c14]Youngjune Lee, Yeongjong Jeong, Keunchan Park, SeongKu Kang:
MvFS: Multi-view Feature Selection for Recommender System. CIKM 2023: 4048-4052 - [c13]SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu:
Distillation from Heterogeneous Models for Top-K Recommendation. WWW 2023: 801-811 - 2022
- [c12]Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Obtaining Calibrated Probabilities with Personalized Ranking Models. AAAI 2022: 4083-4091 - [c11]Seongku Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu:
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. WWW 2022: 1965-1976 - [c10]Dongha Lee, Jiaming Shen, Seongku Kang, Susik Yoon, Jiawei Han, Hwanjo Yu:
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. WWW 2022: 2819-2829 - 2021
- [c9]SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
Topology Distillation for Recommender System. KDD 2021: 829-839 - [c8]Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu:
Unsupervised Proxy Selection for Session-based Recommender Systems. SIGIR 2021: 327-336 - [c7]Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu:
Bootstrapping User and Item Representations for One-Class Collaborative Filtering. SIGIR 2021: 1513-1522 - [c6]Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu:
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. WWW 2021: 1274-1283 - [c5]Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Bidirectional Distillation for Top-K Recommender System. WWW 2021: 3861-3871 - 2020
- [c4]SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
DE-RRD: A Knowledge Distillation Framework for Recommender System. CIKM 2020: 605-614 - [c3]SeongKu Kang, Junyoung Hwang, Hwanjo Yu:
Multi-Modal Component Embedding for Fake News Detection. IMCOM 2020: 1-6 - [c2]Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu:
Deep Rating Elicitation for New Users in Collaborative Filtering. WWW 2020: 2810-2816 - 2019
- [c1]SeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu:
Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. CIKM 2019: 1563-1572
Informal and Other Publications
- 2024
- [i26]Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu:
Top-Personalized-K Recommendation. CoRR abs/2402.16304 (2024) - [i25]Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu:
Deep Rating Elicitation for New Users in Collaborative Filtering. CoRR abs/2402.16327 (2024) - [i24]Jieyong Kim, Ryang Heo, Yongsik Seo, SeongKu Kang, Jinyoung Yeo, Dongha Lee:
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy. CoRR abs/2403.00354 (2024) - [i23]SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han:
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. CoRR abs/2403.04160 (2024) - [i22]Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, Soyeon Chun, Hyunseo Kim, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee:
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. CoRR abs/2403.04460 (2024) - [i21]Jaehyun Lee, SeongKu Kang, Hwanjo Yu:
Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks. CoRR abs/2403.04504 (2024) - [i20]Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu:
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. CoRR abs/2403.17374 (2024) - [i19]Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu:
Continual Collaborative Distillation for Recommender System. CoRR abs/2405.19046 (2024) - [i18]Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu:
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. CoRR abs/2405.19902 (2024) - [i17]Jeongeun Lee, Seongku Kang, Won-Yong Shin, Jeongwhan Choi, Noseong Park, Dongha Lee:
Graph Signal Processing for Cross-Domain Recommendation. CoRR abs/2407.12374 (2024) - [i16]SeongKu Kang:
Knowledge Distillation Approaches for Accurate and Efficient Recommender System. CoRR abs/2407.13952 (2024) - [i15]Soojin Yoon, Sungho Ko, Tongyoung Kim, SeongKu Kang, Jinyoung Yeo, Dongha Lee:
Unsupervised Robust Cross-Lingual Entity Alignment via Joint Modeling of Entity and Relation Texts. CoRR abs/2407.15588 (2024) - [i14]Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee:
Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation. CoRR abs/2408.06276 (2024) - [i13]Tongyoung Kim, Soojin Yoon, Seongku Kang, Jinyoung Yeo, Dongha Lee:
SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation. CoRR abs/2408.08686 (2024) - 2023
- [i12]Su Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu:
Learning Topology-Specific Experts for Molecular Property Prediction. CoRR abs/2302.13693 (2023) - [i11]SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu:
Distillation from Heterogeneous Models for Top-K Recommendation. CoRR abs/2303.01130 (2023) - [i10]Youngjune Lee, Yeongjong Jeong, Keunchan Park, SeongKu Kang:
MvFS: Multi-view Feature Selection for Recommender System. CoRR abs/2309.02064 (2023) - 2022
- [i9]Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu:
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. CoRR abs/2201.06771 (2022) - [i8]SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu:
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. CoRR abs/2202.13140 (2022) - 2021
- [i7]Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu:
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. CoRR abs/2104.14200 (2021) - [i6]Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu:
Bootstrapping User and Item Representations for One-Class Collaborative Filtering. CoRR abs/2105.06323 (2021) - [i5]Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Bidirectional Distillation for Top-K Recommender System. CoRR abs/2106.02870 (2021) - [i4]SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
Topology Distillation for Recommender System. CoRR abs/2106.08700 (2021) - [i3]Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu:
Unsupervised Proxy Selection for Session-based Recommender Systems. CoRR abs/2107.03564 (2021) - [i2]Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Obtaining Calibrated Probabilities with Personalized Ranking Models. CoRR abs/2112.07428 (2021) - 2020
- [i1]SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
DE-RRD: A Knowledge Distillation Framework for Recommender System. CoRR abs/2012.04357 (2020)
Coauthor Index
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