Qihe Huang

PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting

Enabling arbitrary inference in spatio-temporal dynamic systems: A physics-inspired perspective

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

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

MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling

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

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

Overcoming Lookback Window Limitations: Exploring Longer Windows in Long-Term Time Series Forecasting