Hyuk-Yoon Kwon

9 papers at tracked venues · 5 at CORE A* · active 2024–2026

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Venues

CIKM ×2 WSDM ×2 AAAI ×1 ICDE ×1 NeurIPS ×1 SIGIR ×1 SIGMOD ×1

Frequent coauthors

Jaebeom You

×4

Kisung Lee

×4

Seung-Kyu Hong

×3

Ling Liu

×3

Jaeseok Jang

×2

Jaewon Lee

×1

Sehun Lee

×1

Jihoon Moon

×1

Bo-Young Lim

×1

Jeongha Park

×1

Papers

FAIR-RAG: An End-to-End Framework for Mitigating Political Bias through Fair Retrieval-Augmented Generation
SIGIR 2026 ·
Jaebeom You
,
Kisung Lee
, Hyuk-Yoon Kwon
From Data to Model in Bias: A Statistical Analysis of Political Bias in the C4 Corpus and Its Impact on LLMs
WSDM 2026 ·
Jaebeom You
,
Jaewon Lee
,
Sehun Lee
, Hyuk-Yoon Kwon
Geo-Personalization Bias in News Search: Analyzing Filter Bubbles in Search Engine Results with Multi-Perspective LLM Annotation
WSDM 2026 ·
Jaebeom You
,
Seung-Kyu Hong
,
Ling Liu
,
Kisung Lee
, Hyuk-Yoon Kwon
Adaptive Spike Neural Networks for Natural Language Inference Tasks with Dynamic Spike Predictor
CIKM 2025 ·
Seung-Kyu Hong
, Hyuk-Yoon Kwon
FAIR-SE: Framework for Analyzing Information Disparities in Search Engines with Diverse LLM-Generated Personas
CIKM 2025 ·
Jaebeom You
,
Seung-Kyu Hong
,
Ling Liu
,
Kisung Lee
, Hyuk-Yoon Kwon
FedSDP: Federated Self-Derived Prototypes for Personalized Federated Learning
ICDE 2025 ·
Jihoon Moon
,
Ling Liu
, Hyuk-Yoon Kwon
Multi-Level Graph Representation Learning Through Predictive Community-based Partitioning
SIGMOD 2025 ·
Bo-Young Lim
,
Jeongha Park
,
Kisung Lee
, Hyuk-Yoon Kwon
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection
AAAI 2025 ·
Jaeseok Jang
, Hyuk-Yoon Kwon
Are Multiple Instance Learning Algorithms Learnable for Instances?
NeurIPS 2024 ·
Jaeseok Jang
, Hyuk-Yoon Kwon