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The Laboratory of Big Data Analytics and Learning (BigDyL pronounced as Big Deal) in Web, Industrial, and Scientific Environments (WISE), was established in March 2020 at Yonsei University and moved to KAIST in February 2024. We are now studying the following problems(listed in alphabetical order):

  • Deep Generative Models and Large Language Models;
  • Deep Learning based on (Graph) Signal Processing and Differential Equations;
  • Graph Convolutional Networks and Geometric Learning;
  • Recommendation (Collaborative Filtering and Sequential Recommendation);
  • Scientific Foundation Model, Physics-informed Neural Network and Operator Learning;
  • Tabular Data Synthesis and Representation Learning;
  • Time Series/Spatiotemporal Synthesis, Forecasting, and Anomaly Detection.

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  1. awesome-bigdyl awesome-bigdyl Public

    A curated list of publications from BigDyL

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