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Yi-Di Wang

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#machine learning Preprint Oct 2026

Shaping the Wind: Nested Potentials for Kinematically Admissible Urban Wind Prediction

Predicting transient urban winds is fundamental to understanding urban microclimates and designing climate-resilient cities. Building-resolving large-eddy simulation produces detailed incompressible urban wind fields at substantial computational cost for each layout. Neural surrogates offer a faster alternative by lear...

Yi-Di Wang, Yun-He Zhang, Jia-Wei Gu et al. · 0 citations
#machine learning Preprint Oct 2026

Relative Transitions, Not Absolute Destinations: A Transfer-and-Ground Framework for Target-Trajectory-Free Human Mobility Generation

Individual mobility trajectories support urban analysis and location-based services, yet most trajectory generators require observations from their deployment city. This assumption excludes precisely the cities where trajectories are unavailable even though points of interest (POIs) and their attributes can be obtained...

Yi-Di Wang, Yun-He Zhang, Bang-Chao Deng et al. · 0 citations

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