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S3-Lab | PKU
S3-Lab | PKU
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    Ximeng Cheng

    Ximeng Cheng

    Postdoctoral Researcher

    Fraunhofer Heinrich-Hertz Institute (HHI)

    My main research interests are spatial-temporal big data mining, explainable artificial intelligence (XAI), GeoAI, time series analysis, and social sensing.

    Interests
    • Spatial-temporal big data mining
    • Explainable artificial intelligence (XAI)
    • GeoAI
    • Time series analysis
    • Social sensing
    Education
    • PhD in Cartography and Geographical information system, 2020

      Peking University

    Latest

    • Improve the Deep Learning Models in Forestry Based on Explanations and Expertise
    • A Method to Evaluate Task-Specific Importance of Spatio-Temporal Units Based on Explainable Artificial Intelligence
    • Multi-Scale Detection and Interpretation of Spatio-Temporal Anomalies of Human Activities Represented by Time-Series
    • A Framework for Mixed-Use Decomposition Based on Temporal Activity Signatures Extracted from Big Geo-Data
    • Spatial Interpolation Using Conditional Generative Adversarial Neural Networks
    • Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks
    • Mapping Human Activity Volumes Through Remote Sensing Imagery
    • An Extended Exploration and Preferential Return Model for Human Mobility Simulation at Individual and Collective Levels
    • The Scale Effect on Spatial Interaction Patterns: An Empirical Study Using Taxi O-D Data of Beijing and Shanghai

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