基本信息
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Bio
He also applies these machine learning techniques to ecology studies, spatial data modeling, and chemical data analysis. Liu previously held the position of postdoctoral associate at Columbia University. He is a reviewer for several conferences and journals on machine learning.
My research focuses on probabilistic models and neural networks for learning problems arising from real applications. My research topics include probabilistic modeling, statistical inference, generative models, graph neural networks, graph data modeling, biochemical data analysis, anomaly detection.
My research focuses on probabilistic models and neural networks for learning problems arising from real applications. My research topics include probabilistic modeling, statistical inference, generative models, graph neural networks, graph data modeling, biochemical data analysis, anomaly detection.
Research Interests
Papers共 60 篇Author StatisticsCo-AuthorSimilar Experts
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Computer Methods in Applied Mechanics and Engineering (2024): 117023
CoRR (2024): 2647-2655
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Annals of surgery (2024)
Shivam Goel,Panagiotis Lymperopoulos,Ravenna Thielstrom,Evan Krause,Patrick Feeney, Pierrick Lorang,Sarah Schneider, Yichen Wei, Eric Kildebeck, Stephen Goss,Michael C. Hughes,Liping Liu,
Artificial Intelligenceno. C (2024): 104111
CoRR (2023)
CoRR (2023)
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