| 2026 | SIGIR | FAIR-RAG: An End-to-End Framework for Mitigating Political Bias through Fair Retrieval-Augmented Generation. | Jaebeom You, Kisung Lee, Hyuk-Yoon Kwon |
| 2026 | WSDM | Geo-Personalization Bias in News Search: Analyzing Filter Bubbles in Search Engine Results with Multi-Perspective LLM Annotation. | Jaebeom You, Seung-Kyu Hong, Ling Liu, Kisung Lee, Hyuk-Yoon Kwon |
| 2026 | WSDM | From Data to Model in Bias: A Statistical Analysis of Political Bias in the C4 Corpus and Its Impact on LLMs. | Jaebeom You, Jaewon Lee, Sehun Lee, Hyuk-Yoon Kwon |
| 2025 | AAAI | TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection. | Jaeseok Jang, Hyuk-Yoon Kwon |
| 2025 | CIKM | Adaptive Spike Neural Networks for Natural Language Inference Tasks with Dynamic Spike Predictor. | Seung-Kyu Hong, Hyuk-Yoon Kwon |
| 2025 | CIKM | FAIR-SE: Framework for Analyzing Information Disparities in Search Engines with Diverse LLM-Generated Personas. | Jaebeom You, Seung-Kyu Hong, Ling Liu, Kisung Lee, Hyuk-Yoon Kwon |
| 2025 | ICDE | FedSDP: Federated Self-Derived Prototypes for Personalized Federated Learning. | Jihoon Moon, Ling Liu, Hyuk-Yoon Kwon |
| 2023 | ICDM | Two-Level Graph Representation Learning with Community-as-a-Node Graphs. | Jeongha Park, Kisung Lee, Hyuk-Yoon Kwon |
| 2013 | SIGMOD | ODYS: an approach to building a massively-parallel search engine using a DB-IR tightly-integrated parallel DBMS for higher-level functionality. | Kyu-Young Whang, Tae-Seob Yun, Yeon-Mi Yeo, Il-Yeol Song, Hyuk-Yoon Kwon, In-Joong Kim |