Some Randomly Listed First-Author Works

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Some papers are listed below. You can also find more on Google Scholar.

• Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
  NeurIPS, 2025. (Spotlight)

• Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
  ICLR, 2025.

• Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth
  NeurIPS, 2024.

• Position: What Can Large Language Models Tell Us about Time Series Analysis
  ICML, 2024.

• Test-Time Learning of Causal Structure from Interventional Data
  arXiv, 2024.

• UrbanFM: Scaling Urban Spatio-Temporal Foundation Models
  arXiv, 2026.

• Learning from Complexity: Exploring Dynamic Sample Pruning of Spatio-Temporal Training
  arXiv, 2026.

• Select, then Balance: Exploring Exogenous Variable Modeling of Spatio-Temporal Forecasting
  arXiv, 2025.