Projects

  • Interpretable machine learning based on deep neural networks: a source coding perspective (NSF-CCF)
  • Cluster analysis for high-dimensional and multi-source Data (NSF-DMS)
  • An open data infrastructure for bodily expressed emotion understanding (NSF-CNS)
  • After Constable’s clouds: toward a machine learning paradigm for studying pictorial realism (NEH: National Endowment for the Humanities)