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Mei-Po Kwan

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Open access Oct 2026

DaiLLM: An Agent Framework Based on a Large Language Model and Reinforced by AI to Generate Daily Activity Trajectories

Simulating human mobility is crucial for urban planning, environmental exposure assessment, and social behavior studies. However, existing methods often rely on rules and assumptions, making it difficult to provide robust results and explicit decision‐making processes when generating plausible daily activity trajecto...

Hao-Ran Ma, Mei-Po Kwan · 0 citations
Preprint Aug 2026

GeoPhysAdapter: Scale-Matched Geophysical Adaptation for Cross-Domain Landslide Mapping with Vision Foundation Models

Newly triggered landslides rarely carry immediate annotations, so cross-domain transferability determines the value of landslide mapping for emergency response and regional risk assessment. Vision foundation models have strengthened representational transfer, yet on unseen regions, events, and data sources they still g...

Zhi-Hang Liu, Mei-Po Kwan, Jin-Lin Wu et al. · 0 citations

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