All Stories

  1. Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series
  2. LLMLight: Large Language Models as Traffic Signal Control Agents
  3. AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
  4. Urban Foundation Models: A Survey
  5. Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks
  6. Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing