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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Quantitative Remote Sensing in Thermal Infrared Theory and Applications by Tang, Huajun, Li, Zhao-Liang
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Machine Learning in Complex Networks by Silva, Thiago Christiano, Zhao, Liang
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Investigations on Urban Ecosystem Services provided by Urban Parks and Interactions with Dwellers in the center city of Shanghai, China by Zhao, Liang
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Cloud Data Management by Zhao, Liang 1982-
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Die Reform des Rechts der Sonderprüfung nach § 142 ff. AktG by Zhao, Liang
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Marketingstrategien zur Zusammenarbeit chinesischer Unternehmen mit deutschen Partnern neue Ansätze für das Management internationaler Unternehmenskooperationen by Zhao, Liang
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Effect of protein and peptide supplementation on physical performance and health status
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Advances in Crowdfunding Research and Practice
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Advances in natural computation, fuzzy systems and knowledge discovery volume 1
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Graph neural networks foundations, frontiers, and applications
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Advances in natural computation, fuzzy systems and knowledge discovery volume 2
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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery Proceedings of the ICNC-FSKD 2021
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Knowledge science, engineering and management 17th international conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, proceedings, part II
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Knowledge science, engineering and management 17th international conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, proceedings, part I
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Knowledge science, engineering and management 17th international conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, proceedings, part V
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Knowledge science, engineering and management 17th international conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, proceedings, part III
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Knowledge science, engineering and management 17th international conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, proceedings, part IV
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Crime et châtiment
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