Jeong Hyewon Lab

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Professor

Prof. 정혜원

About

KAIST 정혜원(Hye Won Chung) 부교수의 Inference and Information for Data Science Lab(IIDS)이다. 정보이론, 통계적 추론, 머신러닝의 이론적 틀을 데이터 사이언스에 적용하며 정보 추출·활용을 위한 효율적 알고리즘을 연구한다. 크라우드소싱 추론, 그래프 매칭, 행렬 완성, 데이터셋 증류 등을 다룬다.

Research keywords

Data scienceinformation theorystatistical inferencemachine learning

Selected publications

Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial LabelsICLR · 2025
Exact Matching in Correlated Networks with Node Attributes for Improved Community RecoveryIEEE Transactions on Information Theory · 2025
CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text EncoderNeurIPS · 2025
A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental LimitsIEEE Transactions on Information Theory · 2024
Rank-1 Matrix Completion with Gradient Descent and Small Random InitializationNeurIPS · 2023
Recovering Top-Two Answers and Confusion Probability in Multi-Choice CrowdsourcingICML · 2023
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant CorrelationICML · 2023

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