Search Results - Zhao, Liang

Liang Zhao

Liang Zhao is a computer scientist and academic from China. He is an associate professor in the Department of Computer Science at Emory University.

Zhao's research focuses on data mining, machine learning, and artificial intelligence, with particular interests in deep learning on graphs, societal event prediction, interpretable machine learning, multi-modal machine learning, generative AI, and distributed deep learning. His book titled ''Graph Neural Networks: Foundations, Frontiers, and Applications'' has been published by Springer. He published articles in journals and conferences, some of which have won Best Paper Awards. Zhao received the Oracle for Research Grant Award, Cisco Faculty Research Award, Amazon Research Award, and Meta Research Award. He also won the Jeffress Trust Award for deep generative models for biomedical research and the NSF Career Award for his research on explainable and interactive AI for spatial and graph data.

Zhao was a Computing Innovation Fellow Mentor for the Computing Community Consortium and is an IEEE Senior Member. Provided by Wikipedia
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    Advances in Crowdfunding Research and Practice /

    Published 2020
    Other Authors: “…Zhao, Liang…”
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    Advances in Crowdfunding Research and Practice

    Published 2020
    Other Authors: “…Zhao, Liang…”
    DOAB: download the publication
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    Electronic Book Chapter
  10. 10

    Advances in Crowdfunding Research and Practice

    Published 2020
    Other Authors: “…Zhao, Liang…”
    OAPEN Library: download the publication
    OAPEN Library: description of the publication
    Electronic Book Chapter