Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. - SeongKu Kang; Junyoung Hwang; Dongha Lee 003; Hwanjo Yu (CIKM, 2019)

DE-RRD: A Knowledge Distillation Framework for Recommender System. - SeongKu Kang; Junyoung Hwang; Wonbin Kweon; Hwanjo Yu (CIKM, 2020)

Multi-Modal Component Embedding for Fake News Detection. - SeongKu Kang; Junyoung Hwang; Hwanjo Yu (IMCOM, 2020)

Deep Rating Elicitation for New Users in Collaborative Filtering. - Wonbin Kweon; SeongKu Kang; Junyoung Hwang; Hwanjo Yu (WWW, 2020)

Topology Distillation for Recommender System. - SeongKu Kang; Junyoung Hwang; Wonbin Kweon; Hwanjo Yu (KDD, 2021)

Unsupervised Proxy Selection for Session-based Recommender Systems. - Junsu Cho; SeongKu Kang; Dongmin Hyun; Hwanjo Yu (SIGIR, 2021)

Bootstrapping User and Item Representations for One-Class Collaborative Filtering. - Dongha Lee 003; SeongKu Kang; Hyunjun Ju; Chanyoung Park 001; Hwanjo Yu (SIGIR, 2021)

Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. - Junsu Cho; Dongmin Hyun; SeongKu Kang; Hwanjo Yu (WWW, 2021)

Bidirectional Distillation for Top-K Recommender System. - Wonbin Kweon; SeongKu Kang; Hwanjo Yu (WWW, 2021)

Item-side ranking regularized distillation for recommender system. - SeongKu Kang; Junyoung Hwang; Wonbin Kweon; Hwanjo Yu (Inf. Sci., 2021)

Obtaining Calibrated Probabilities with Personalized Ranking Models. - Wonbin Kweon; SeongKu Kang; Hwanjo Yu (AAAI, 2022)

Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. - Seongku Kang; Dongha Lee 003; Wonbin Kweon; Junyoung Hwang; Hwanjo Yu (WWW, 2022)

TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. - Dongha Lee 003; Jiaming Shen; Seongku Kang; Susik Yoon; Jiawei Han 001; Hwanjo Yu (WWW, 2022)

Mitigating viewpoint sensitivity of self-supervised one-class classifiers. - Hyunjun Ju; Dongha Lee 003; SeongKu Kang; Hwanjo Yu (Inf. Sci., 2022)

Personalized Knowledge Distillation for Recommender System. - SeongKu Kang; Dongha Lee 003; Wonbin Kweon; Hwanjo Yu (Knowl. Based Syst., 2022)

Learning Topology-Specific Experts for Molecular Property Prediction. - Suyeon Kim; Dongha Lee 003; SeongKu Kang; Seonghyeon Lee; Hwanjo Yu (AAAI, 2023)

MvFS: Multi-view Feature Selection for Recommender System. - Youngjune Lee; Yeongjong Jeong; Keunchan Park; SeongKu Kang (CIKM, 2023)

Distillation from Heterogeneous Models for Top-K Recommendation. - SeongKu Kang; Wonbin Kweon; Dongha Lee 003; Jianxun Lian; Xing Xie 001; Hwanjo Yu (WWW, 2023)

Learning Topology-Specific Experts for Molecular Property Prediction. - Su Kim; Dongha Lee 003; SeongKu Kang; Seonghyeon Lee; Hwanjo Yu (CoRR, 2023)

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. - Hyunjun Ju; SeongKu Kang; Dongha Lee 003; Junyoung Hwang; Sanghwan Jang; Hwanjo Yu (AAAI, 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 003 (ACL (Findings), 2024)

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. - Minjin Kim; Minju Kim; Hana Kim; Beong-woo Kwak; SeongKu Kang; Youngjae Yu; Jinyoung Yeo; Dongha Lee 003 (ACL (Findings), 2024)

Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. - Suyeon Kim; Dongha Lee 003; SeongKu Kang; Sukang Chae; Sanghwan Jang; Hwanjo Yu (CVPR, 2024)

Taxonomy-guided Semantic Indexing for Academic Paper Search. - SeongKu Kang; Yunyi Zhang 001; Pengcheng Jiang; Dongha Lee 003; Jiawei Han 001; Hwanjo Yu (EMNLP, 2024)

Continual Collaborative Distillation for Recommender System. - Gyuseok Lee; SeongKu Kang; Wonbin Kweon; Hwanjo Yu (KDD, 2024)

Multi-Domain Sequential Recommendation via Domain Space Learning. - Junyoung Hwang; Hyunjun Ju; SeongKu Kang; Sanghwan Jang; Hwanjo Yu (SIGIR, 2024)

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. - SeongKu Kang; Shivam Agarwal; Bowen Jin; Dongha Lee 003; Hwanjo Yu; Jiawei Han 001 (WWW, 2024)

Top-Personalized-K Recommendation. - Wonbin Kweon; SeongKu Kang; Sanghwan Jang; Hwanjo Yu (WWW, 2024)

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. - Minjin Kim; Minju Kim; Hana Kim; Beong-woo Kwak; Soyeon Chun; Hyunseo Kim 002; SeongKu Kang; Youngjae Yu; Jinyoung Yeo; Dongha Lee 003 (CoRR, 2024)

Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks. - Jaehyun Lee; SeongKu Kang; Hwanjo Yu (CoRR, 2024)

Graph Signal Processing for Cross-Domain Recommendation. - Jeongeun Lee; Seongku Kang; Won-Yong Shin; Jeongwhan Choi 002; Noseong Park; Dongha Lee 003 (CoRR, 2024)

Knowledge Distillation Approaches for Accurate and Efficient Recommender System. - SeongKu Kang (CoRR, 2024)

Unsupervised Robust Cross-Lingual Entity Alignment via Joint Modeling of Entity and Relation Texts. - Soojin Yoon; Sungho Ko; Tongyoung Kim; SeongKu Kang; Jinyoung Yeo; Dongha Lee 003 (CoRR, 2024)

SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation. - Tongyoung Kim; Soojin Yoon; Seongku Kang; Jinyoung Yeo; Dongha Lee 003 (CoRR, 2024)

Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths. - Sangam Lee; Ryang Heo; SeongKu Kang; Susik Yoon; Jinyoung Yeo; Dongha Lee 003 (CoRR, 2024)

Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation. - Jieyong Kim; Hyunseo Kim 002; Hyunjin Cho; SeongKu Kang; Buru Chang; Jinyoung Yeo; Dongha Lee 003 (SIGIR, 2025)

Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems. - Hyunsik Yoo; SeongKu Kang; Ruizhong Qiu; Charlie Xu; Fei Wang 065; Hanghang Tong (SIGIR, 2025)

Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. - SeongKu Kang; Bowen Jin; Wonbin Kweon; Yu Zhang 044; Dongha Lee 003; Jiawei Han 001; Hwanjo Yu (WSDM, 2025)

Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts. - Soojin Yoon; Sungho Ko; Tongyoung Kim; SeongKu Kang; Jinyoung Yeo; Dongha Lee 003 (WSDM, 2025)

Chain-of-Factors Paper-Reviewer Matching. - Yu Zhang 044; Yanzhen Shen; SeongKu Kang; Xiusi Chen; Bowen Jin; Jiawei Han 001 (WWW, 2025)

Uncertainty Quantification and Decomposition for LLM-based Recommendation. - Wonbin Kweon; Sanghwan Jang; SeongKu Kang; Hwanjo Yu (WWW, 2025)

DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning. - Pengcheng Jiang; Jiacheng Lin; Lang Cao; Runchu Tian; SeongKu Kang; Zifeng Wang 008; Jimeng Sun 001; Jiawei Han 001 (CoRR, 2025)

Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval. - Sangam Lee; Ryang Heo; SeongKu Kang; Dongha Lee 003 (CoRR, 2025)

LLM-Based Compact Reranking with Document Features for Scientific Retrieval. - Runchu Tian; Xueqiang Xu; Bowen Jin; SeongKu Kang; Jiawei Han 001 (CoRR, 2025)

Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking. - Yunyi Zhang 001; Ruozhen Yang; Siqi Jiao; SeongKu Kang; Jiawei Han 001 (CoRR, 2025)

Leveraging Historical and Current Interests for Continual Sequential Recommendation. - Gyuseok Lee; Hyunsik Yoo; Junyoung Hwang; SeongKu Kang; Hwanjo Yu (CoRR, 2025)

Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark. - Suyeon Kim; SeongKu Kang; Dongwoo Kim; Jungseul Ok; Hwanjo Yu (CoRR, 2025)

Continual Recommender Systems. - Hyunsik Yoo; SeongKu Kang; Hanghang Tong (CoRR, 2025)

Session-Based Recommendation with Validated and Enriched LLM Intents. - Gyuseok Lee; Yaokun Liu; Yifan Liu; Susik Yoon; Dong Wang; SeongKu Kang (CoRR, 2025)

Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems. - Seongku Kang; Wonbin Kweon; Dongha Lee 003; Jianxun Lian; Xing Xie 001; Hwanjo Yu (Trans. Recomm. Syst., 2025)