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  3. Guohao Li

Guohao Li

About Guohao Li

Guohao Li

  • Ph.D., Computer Science

Computer Vision Deep learning

Guohao Li was a Ph. D. student in the Image and Video Understanding Lab (IVUL) Group under the supervision of Prof. Bernard Ghanem at KAUST. Education and Early Career Guohao Li obtained a Bachelor’s Degree in Communication Engineering from Harbin Institute of Technology in China in 2015. In 2018, he earned his Master’s degree in Communication and Information Systems from the Chinese Academy of Sciences, China, and in 2023, he received his PhD in Computer Science from KAUST. Research Interest His primary research interest is in Computer Vision and Deep Learning. Publications Education Profile

Events

Presented Events

Oct 2 - Oct 8, 2022

  • Towards Structured Intelligence with Deep Graph Neural Networks

    Guohao Li, Ph.D., Computer Science
    Oct 5, 18:00 - 20:00

    B5 L5 R5209

    graph machine learning Graph Neural Networks

    This dissertation discusses approaches to building large-scale and efficient graph machine learning models for learning structured representation with applications to engineering and sciences. This work would present how to make Graph Neural Networks (GNNs) go deep by introducing architectural designs and how to automatically search GNN architectures by novel neural architecture search algorithms.

Engage

Related Sites

  • Center of Excellence for Generative AI (GenAI)
  • Image and Video Understanding Lab (IVUL)
  • Computer Science (CS)

Related Content

  • Articles
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  • Events
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Related Links

  • Also view list of Publications on KAUST Repository
  • Also view list of Publications on ORCID Repository
  • Visual Computing Center (VCC)
  • Personal Website

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