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  • Privacy Risks and Perceived Benefits in Open Datas..

    Privacy Risks and Perceived Benefits in Open Dataset Collection for Emotion AI Research Hyunso Lee, a Ph.D. candidate (advisor:

  • Development of Data Cleansing Technology That Can ..

    < Photograph of the researchers (Dr. Dongmin Park, Professor Jaegil Lee)> Recently, services using deep learning technolo

  • FedBalancer: Data and Pace Control for Efficient F..

    Federated Learning (FL) trains a machine learning model on distributed clients without exposing individual data. Unlike centralize

  • PartGlot: Learning Shape Part Segmentation from La..

    Juil Koo (advisor: Minhyuk Sung), a master's student at KAIST School of Computing, has introduced a novel approach to learning

  • Differentiable transient rendering for non-line-of..

    Rendering includes techniques and theories to simulate light transport effects on 3D scenes such as reflection, refraction, and sc

  • Confidence-Based Robot Navigation Under Sensor Occ..

    Professor Sung-Eui Yoon from the school of computing at KAIST has developed a robust robot navigation method under sensor occlusio

  • Designing a digital health service that supports h..

    Professor Uichin Lee’s research team from the School of Computing at KAIST and Professor Ha-Kyung Kong from Seattle Universi

  • Mitigating Language-Dependent Ethnic Bias in BERT

    Jaimeen Ahn, a student researcher in the Users & Information Lab led by Prof. Alice Oh at the School of Computing, published a

  • Testing Deep Learning Systems

    New technique can guide systematic testing of machine learning components Prof. Shin Yoo's team of KAIST School of Computin