1 citations · 1 across the 4 of their papers we have counts for
4 papers
EventOD: Event-Aware OD Flow Generation via LLM-Guided Semantic Modulation
Jie Zhao, Jie Feng, Can Rong +3
Estimating origin-destination (OD) flows under disruptive events is important for disaster response and urban resilience. Existing deep OD models trained on routine mobility often…
A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science
Jie Feng, Jinwei Zeng, Qingyue Long +15
Over the past year, the development of large language models (LLMs) has brought spatial intelligence into focus, with much attention on vision-based embodied intelligence. However,…
TrajAgent: An LLM-Agent Framework for Trajectory Modeling via Large-and-Small Model Collaboration
Yuwei Du, Jie Feng, Jie Zhao +1
Trajectory modeling, which includes research on trajectory data pattern mining and future prediction, has widespread applications in areas such as life services, urban transportati…
AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction
Jie Feng, Yuwei Du, Jie Zhao +1
Next location prediction plays a crucial role in various real-world applications. Recently, due to the limitation of existing deep learning methods, attempts have been made to appl…