Su-Yeon Kim

Kyungpook National University · Computer Science and Engineering

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Prof. 김수연

산업 데이터 사이언스 연구실의 김수연 교수는 강건한 산업 AI와 설명 가능한 AI(XAI)를 연구한다. 바이오메디컬 데이터 기반 AI, 산업 공정의 지능화 및 최적화 등 데이터 기반 의사결정 기술을 다룬다.

Robust AI for imperfect data (noisy/incomplete/inconsistently-labeled data)Explainable AI (XAI)Biomedical & Industrial AI

Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and BenchmarkKDD · 2025
Learning Discriminative Dynamics with Label Corruption for Noisy Label DetectionCVPR · 2024
Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code GenerationEMNLP Findings · 2024
Learning Topology-Specific Experts for Molecular Property PredictionAAAI · 2023
Learnable Structural Semantic Readout for Graph ClassificationICDM · 2021