| 2026 | ACL | Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths. | Sangam Lee, Ryang Heo, SeongKu Kang, Susik Yoon, Jinyoung Yeo, Dongha Lee |
| 2026 | KDD | CREAM: Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft Memory. | HuiJeong Son, Hyeongu Kang, Sunho Kim, Subeen Ho, SeongKu Kang, Dongha Lee, Susik Yoon |
| 2026 | SIGIR | FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation. | WooJoo Kim, JunYoung Kim, Jaehyung Lim, SeongJin Choi, SeongKu Kang, Hwanjo Yu |
| 2026 | SIGIR | MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender. | Tongyoung Kim, Soojin Yoon, SeongKu Kang, Jinyoung Yeo, Dongha Lee |
| 2026 | WSDM | Capturing User Interests from Data Streams for Continual Sequential Recommendation. | Gyuseok Lee, Hyunsik Yoo, Junyoung Hwang, SeongKu Kang, Hwanjo Yu |
| 2025 | EMNLP | Topic Coverage-based Demonstration Retrieval for In-Context Learning. | Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu |
| 2025 | EMNLP | Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking. | Yunyi Zhang, Ruozhen Yang, Siqi Jiao, SeongKu Kang, Jiawei Han |
| 2025 | KDD | Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark. | Suyeon Kim, SeongKu Kang, Dongwoo Kim, Jungseul Ok, Hwanjo Yu |
| 2025 | WWW | Chain-of-Factors Paper-Reviewer Matching. | Yu Zhang, Yanzhen Shen, SeongKu Kang, Xiusi Chen, Bowen Jin, Jiawei Han |
| 2025 | WWW | Uncertainty Quantification and Decomposition for LLM-based Recommendation. | Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu |
| 2025 | SIGIR | Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation. | Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee |
| 2025 | SIGIR | Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems. | Hyunsik Yoo, SeongKu Kang, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong |
| 2025 | WSDM | Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. | SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu |
| 2025 | WSDM | 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 |
| 2024 | AAAI | Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. | Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | CVPR | Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. | Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu |
| 2024 | EMNLP | Taxonomy-guided Semantic Indexing for Academic Paper Search. | SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu |
| 2024 | KDD | Continual Collaborative Distillation for Recommender System. | Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu |
| 2024 | WWW | Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. | SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han |
| 2024 | WWW | Top-Personalized-K Recommendation. | Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu |
| 2024 | SIGIR | Multi-Domain Sequential Recommendation via Domain Space Learning. | Junyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu |
| 2023 | AAAI | Learning Topology-Specific Experts for Molecular Property Prediction. | Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu |
| 2023 | CIKM | MvFS: Multi-view Feature Selection for Recommender System. | Youngjune Lee, Yeongjong Jeong, Keunchan Park, SeongKu Kang |
| 2023 | WWW | Distillation from Heterogeneous Models for Top-K Recommendation. | SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu |
| 2022 | AAAI | Obtaining Calibrated Probabilities with Personalized Ranking Models. | Wonbin Kweon, SeongKu Kang, Hwanjo Yu |
| 2021 | KDD | Topology Distillation for Recommender System. | SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu |
| 2021 | WWW | Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. | Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu |
| 2021 | WWW | Bidirectional Distillation for Top-K Recommender System. | Wonbin Kweon, SeongKu Kang, Hwanjo Yu |
| 2021 | SIGIR | Unsupervised Proxy Selection for Session-based Recommender Systems. | Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu |
| 2021 | SIGIR | Bootstrapping User and Item Representations for One-Class Collaborative Filtering. | Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu |
| 2020 | CIKM | DE-RRD: A Knowledge Distillation Framework for Recommender System. | SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu |
| 2020 | WWW | Deep Rating Elicitation for New Users in Collaborative Filtering. | Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu |
| 2019 | CIKM | Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. | SeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu |