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Peiyuan Li
University of Illinois SystemMeeting roles in:
Extreme Weather and Climate in Urban Areas: Physical Modeling, AI/ML Approaches, and Digital Twins for Social Impacts and Mitigation I Poster
Air quality inference at neighborhood scale for Chicago Metropolitan by Graph Neural Network
Detailed and Dynamic Description of Urban Vegetation (3DUV) for Enhanced Urban Climate Resilience
Extreme Weather and Climate in Urban Areas: Physical Modeling, AI/ML Approaches, and Digital Twins for Social Impacts and Mitigation II Oral
A multiscale model-driven experimental (ModEx) framework for urban areas – a CROCUS approach
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