3 papers
cs.IR2025
Next Point-of-interest (POI) Recommendation Model Based on Multi-modal Spatio-temporal Context Feature Embedding
Lingyu Zhang, Pengfei Xu, Rui Ban +4
Predicting the next pickup location of individual users is a fundamental problem in intelligent mobility systems, which requires modeling personalized travel behaviors under comple…
cs.LG2025
A Knowledge-Guided Cross-Modal Feature Fusion Model for Local Traffic Demand Prediction
Lingyu Zhang, Pengfei Xu, Guobin Wu +4
Traffic demand prediction plays a critical role in intelligent transportation systems. Existing traffic prediction models primarily rely on temporal traffic data, with limited effo…
cs.AI2021
An Intelligent Model for Solving Manpower Scheduling Problems
Lingyu Zhang, Tianyu Liu, Yunhai Wang
The manpower scheduling problem is a critical research field in the resource management area. Based on the existing studies on scheduling problem solutions, this paper transforms t…