Liang Zhao
Liang Zhao is a computer scientist and academic. He is an associate professor in the Department of Compute 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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22by Guisheng Song, Liang Zhao, Fei Chai, Fangfang Liu, Mengting Li, Huixiang XieGet access
Published in Frontiers in Marine Science (2020)
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Article in Journal/Newspaper -
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24Inconsistent trends between early and late winters in extreme cold events in China from 1980 to 2021by Wei Dong, Liang Zhao, Wei Cheng, Chunyan Guo, Xinyong Shen, Haoxin YaoGet access
Published in Frontiers in Environmental Science (2022)
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25Inconsistent trends between early and late winters in extreme cold events in China from 1980 to 2021by Wei Dong, Liang Zhao, Wei Cheng, Chunyan Guo, Xinyong Shen, Haoxin YaoGet access
Published in Frontiers in Environmental Science (2022)
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27by Tiejun Xie, Ji Wang, Hui Gao, Liang Zhao, Yanju Liu, Linhai SunGet access
Published in Environmental Research Letters (2023)
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