6 papers
NextLocLLM: Location Semantics Modeling and Coordinate-Based Next Location Prediction with LLMs
Shuai Liu, Ning Cao, Yile Chen +3
Next location prediction is a critical task in human mobility analysis.Existing methods typically formulate it as a classification task based on discrete location IDs, which hinder…
STRATA-TS: Selective Knowledge Transfer for Urban Time Series Forecasting with Retrieval-Guided Reasoning
Yue Jiang, Chenxi Liu, Yile Chen +4
Urban forecasting models often face a severe data imbalance problem: only a few cities have dense, long-span records, while many others expose short or incomplete histories. Direct…
Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization
Yile Chen, Yicheng Tao, Yue Jiang +3
The widespread adoption of location-based services has led to the generation of vast amounts of mobility data, providing significant opportunities to model user movement dynamics w…
Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction
Shuai Liu, Ning Cao, Yile Chen +2
Next location prediction plays a critical role in understanding human mobility patterns. However, existing approaches face two core limitations: (1) they fall short in capturing th…
UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models
Yue Jiang, Qin Chao, Yile Chen +3
Location-based services play an critical role in improving the quality of our daily lives. Despite the proliferation of numerous specialized AI models within spatio-temporal contex…
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting
Yue Jiang, Xiucheng Li, Yile Chen +4
Time series forecasting is essential for our daily activities and precise modeling of the complex correlations and shared patterns among multiple time series is essential for impro…