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Data Optimization Lab

Data Optimization Lab

Chungnam National University · Computer Science and Engineering

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Professor

Prof. 김상묵

Professor's page · publications

About

데이터 최적화 연구실은 연합학습(Federated Learning)과 데이터 중심 인공지능(Data-centric AI), 의료 인공지능(Medical AI)을 연구한다. 분산된 데이터 환경에서 효율적이고 신뢰할 수 있는 학습 기술을 다룬다.

Research keywords

머신러닝데이터 사이언스의료 AI

Selected publications

  • PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image AnalysisMICCAI · 2025
  • Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion ModelsICLR · 2025
  • BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models PersonalizationEMNLP Findings · 2024
  • FedSoL: Stabilized Orthogonal Learning in Federated LearningCVPR · 2024
  • Re-thinking Federated Active Learning based on Inter-class DiversityCVPR · 2023
  • FedBABU: Toward Enhanced Representation for Federated Image ClassificationICLR · 2022

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