Yuxuan Liang

An overview of Route Time Prediction methods and their significance in delivery services.

MSGNet improves forecasting by capturing complex relationships in time series data.

This paper discusses the role of LLMs in time series analysis.

Combining deep learning with physics for better predictions.

A new method to enhance data collection efficiency in sensor networks.

UrbanVLP combines macro and micro data for better urban predictions.

A new framework improves prediction accuracy in fluid dynamics.

Learn how diffusion models enhance time series data analysis across various fields.

Introducing a novel approach to learning about geographical areas and their connections.

A model that effectively fills in missing values in time series data.

A new perspective on enhancing GNNs for complex graph structures.

STGormer enhances traffic predictions by considering time and space.

UniTraj offers adaptable solutions for understanding human movement patterns globally.

A new method improves traffic prediction and reduces congestion.

Learn how AI improves area segmentation for better delivery services.