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• Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting
  2024 · 39 citations
• Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
  2022 · 11 citations
• STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
  2023 · 11 citations
• A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting
  2021 · 10 citations
• Learning Gaussian Mixture Representations for Tensor Time Series Forecasting
  2023 · 6 citations
• Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
  2023 · 3 citations
• Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
  2023 · 3 citations
• MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling
  2022 · 2 citations
• Robust Traffic Forecasting against Spatial Shift over Years
  2024 · 1 citations
• Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting
  2024 · 1 citations
• Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting
  2025
• How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
  2025
• Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning
  2024