Kuo Yang

STORM: Synergistic Cross-Scale Spatio-Temporal Modeling for Weather Forecasting

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning

Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation

Enhancing Graph Invariant Learning from a Negative Inference Perspective

SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation

TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting

Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting

TimeBase: The Power of Minimalism in Long-term Time Series Forecasting

ZeroTS: Zero-shot time series prediction via multi-party data-model interaction

Enhancing Graph Invariant Learning from a Negative Inference Perspective