Haorui Yu

Mapping AI's Interpretive Boundaries Through Chinese Painting Analysis

My doctoral research explores AI's cognitive boundaries when interpreting Chinese paintings, examining the philosophical dimensions of machine understanding through practical experiments. Building on my previous work creating a Chinese painting database and optimizing recognition algorithms.

  • l Investigation of AI cognitive limitations through Chinese painting analysis
  • l Integration of philosophical frameworks from Yuk Hui, Bernard Stiegler, Gilbert Simondon, and Martin Heidegger
  • l Development of dual-dimensional measurement system for cognitive tipping points
  • l Multi-model understanding through text-image embedding systems
  • l Practical applications in art analysis, education, and cultural heritage preservation
  • l Technical implementation through progressive model deployment and algorithm optimization

If you're interested in AI cognitive philosophy, computer vision applications in art, or cross-cultural technological interpretation, I welcome collaboration opportunities and discussions about this research. Please feel free to contact me to explore potential connections.

Names of Supervisors:

  • Professor Natasha Lushetich