Dae-ho Um

University of Seoul · Electrical and Electronic Engineering

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Professor

Prof. 엄대호

About

엄대호 교수의 기계학습 연구실(MLML)은 서울시립대 전기전자공학과 소속으로, 기계학습과 의료 인공지능을 연구한다. 결측 데이터(missing data) 처리와 컴퓨테이셔널 바이올로지가 주요 주제이며, 연구팀은 2026년 AI 최상위 학회 ICML에 논문이 채택되었다.

Research keywords

Machine LearningMissing DataComputational BiologyMedical AI

Selected publications

Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed FeaturesICML · 2025
PRIME: Deep Imbalanced Regression with ProxiesICML · 2025
Spreading Out-of-Distribution Detection on GraphsICLR · 2025
Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed FeaturesICLR · 2025
When CLIP Sees More, It Fights Back Harder: Multi-View Guided Adaptive Counterattacks for Test-Time Adversarial RobustnessCVPR · 2026
Finding Optimal Video Moment without Training: Gaussian Boundary Optimization for Weakly Supervised Video GroundingIEEE Transactions on Multimedia (TMM) · 2026

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