Area of research
Building and Construction · Electrical and Electronic Engineering
Research interest
Research interests include Electric Vehicles and Infrastructure, Traffic Prediction and Management Techniques, Advanced Battery Technologies Research, and Smart Parking Systems Research.
UrbanEV: An Open Benchmark Dataset for Urban Electric Vehicle Charging Demand Prediction
A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models
A Physics-Informed and Attention-Based Graph Learning Approach for Regional Electric Vehicle Charging Demand Prediction
A physics-informed graph learning approach for citywide electric vehicle charging demand prediction and pricing
ChatEV: Predicting electric vehicle charging demand as natural language processing
FMGCN: Federated Meta Learning-Augmented Graph Convolutional Network for EV Charging Demand Forecasting
Unraveling the effect of electricity price on electric vehicle charging behavior: A case study in Shenzhen, China