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Sungyong Seo

Sungyong Seo

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  • When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
  • Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
  • Network Inference from a Mixture of Diffusion Models for Fake News Mitigation
  • Differentiable Physics-informed Graph Networks
  • Partially Generative Neural Networks for Gang Crime Classification with Partial Information
  • Automatically Inferring Data Quality for Spatiotemporal Forecasting
  • CSI: A Hybrid Deep Model for Fake News Detection
  • Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
  • Data Quality Network for Spatiotemporal Forecasting
  • Graph convolutional autoencoder with recurrent neural networks for spatiotemporal forecasting
  • Representation Learning of Users and Items for Review Rating Prediction Using Attention-based Convolutional Neural Network

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