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국가과학기술
표준 분류

  • Yeon-Chang Lee이연창

    Graduate School of Artificial Intelligence
    관심분야: 데이터 마이닝, 그래프 머신 러닝, 네트워크 과학, 추천 시스템 (Data Mining, Graph Machine Learning, Network Science, Recommender Systems)
    희망분야: 정확하고, 강건하며, 공정한 그래프 머신 러닝 및 이를 활용한 어플리케이션 (Accurate, Robust, and Fair Graph Machine Learning and Its Applications)

  • TAEHWAN KIM김태환

    Graduate School of Artificial Intelligence
    관심분야: 멀티모달 학습, 생성 모델, 기계학습, 심층 학습 / Multimodal Learning, Generative Models, Machine Learning, and Deep Learning

  • Jooyeon Kim김주연

    Graduate School of Artificial Intelligence
    관심분야: Generative modeling, Multi-agent RL, model-based RL, collaboration, cooperation, Bayesian machine learning, natural language processing, HCI, data min
    희망분야: Generative modeling, Multi-agent RL, model-based RL, collaboration, cooperation, Bayesian machine learning, natural language processing, HCI, data min

  • Hyounghun Kim김형훈

    Graduate School of Artificial Intelligence
    관심분야: 자연어처리, 멀티모달 러닝 / Natural Language Processing, Multimodal Learning
    희망분야: 설명/해석 가능한 인공지능 / Explainable/Interpretable AI

  • Hyemin Ahn안혜민

    Graduate School of Artificial Intelligence
    관심분야: 인간-로봇-상호작용, 인공지능, 딥러닝, 인간 행동 이해, 로봇 동작 생성 / Human-Robot Interaction, Artificial Intelligence, Deep Learning, Action Recognition, Motion Generation
    희망분야: 학습 기반 로봇 행동 계획, 개인화 로봇, 복잡한 과제 수행이 가능한 로보틱스, 감정 이해, 성격 모델링 / Learning-based Robot Behavior Planning, Personal Robotics, Robotics for Complex Task Planning, Emotion Understanding, Personality Modeling,

  • Seungyul Han한승열

    Graduate School of Artificial Intelligence
    관심분야: Reinforcement learning, Transfer learning/Domain adaptation, Imitation learning, Multi-agent systems, Statistical learning
    희망분야: Real-world AI application, General machine learning, Intelligent control system

  • Jaejun Yoo유재준

    Graduate School of Artificial Intelligence
    관심분야: computer vision, machine learning, inverse problems, generative models, medical imaging
    희망분야: generative models, medical imaging, self-supervision, representation learning, interpretable models

  • Seungjoon Yang양승준

    Graduate School of Artificial Intelligence
    관심분야: Nonstationary Signal Processing
    희망분야: Product Quality Inspection, Plant & Process Automation

  • Sung Whan Yoon윤성환

    Graduate School of Artificial Intelligence
    관심분야: Meta-learning, Few-shot learning, Lifelong learning, distributed learning, federated learning, 6G communications
    희망분야: Meta-learning, Few-shot learning, Lifelong learning, distributed learning, federated learning, 6G communications

  • Kyungdon Joo주경돈

    Graduate School of Artificial Intelligence
    관심분야: Computer Vision, Robotics Vision, Machine (Deep) Learning
    희망분야: 3D Reconstruction from images (SfM, SLAM, etc.), Sensor Fusion, Vision-based ADAS, Calibration, Geometry-based Deep Learning