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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Development Mode of Recreation Belt around the City: Ecological Authenticity or Fashion Creativity? by Liang Zhao, Yuanyuan Shen, Nailin Gu, Jingyu Dai
Published 2022-01-01
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Digital-Twin-Based Evaluation of Nearly Zero-Energy Building for Existing Buildings Based on Scan-to-BIM by Liang Zhao, Hong Zhang, Qian Wang, Haining Wang
Published 2021-01-01
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Applications of Machine Learning Methods in Complex Economics and Financial Networks by Benjamin M. Tabak, Thiago C. Silva, Liang Zhao, Ahmet Sensoy
Published 2020-01-01
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Adaptation of Archaeal Communities to Summer Hypoxia in the Sediment of Bohai Sea by Xiaoxiao Guo, Yanying Li, Guisheng Song, Liang Zhao, Jing Wang
Published 2025-01-01
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Fast and Deterministic Underwater Point Cloud Registration for Multibeam Echo Sounder Data by Liang Zhao, Lan Cheng, Tingfeng Tan, Chun Cao, Feihu Zhang
Published 2024-12-01
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Design of Low-Cost Full W-Band 8th Harmonic Mixers for Frequency Extension of Spectrum Analyzer by Jian Guo, Kaiyi Zang, Zihan Zhang, Liang Zhao, Jie Xu, Zhengbin Xu
Published 2023-01-01
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