Xiaowei Jia

Venues

Frequent coauthors

Papers

1. EcoDiffusion: Uncertainty-Aware Emulation of Ecosystem Processes with Conditional Diffusion for Long Sequences with Single-Step Initialization
   AAAI 2026 ·

   Ruohan Li

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2. GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction
   AAAI 2026 ·

   Shiyuan Luo

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3. Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science
   AAAI 2026 ·

   Anuj Karpatne

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4. Physics-enhanced Neural Operator: An Application in Simulating Turbulent Transport
   SIGKDD 2026 ·

   Shengyu Chen

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5. When to Explain: Modeling User Need for Explanations in Real-World Autonomous Driving
   CHI 2026 ·

   Shihong Ling

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6. X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI
   SIGKDD 2026 ·

   Yiming Sun

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7. CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems
   NeurIPS 2025 ·

   Zhihao Wang

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8. Compressed Diffusion: Pruning with Knowledge Distillation for Efficient Text-to-Image Generation
   ICCV 2025 ·

   Nasrin Kalanat

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9. Domain-Adaptive Continual Meta-Learning for Modeling Dynamical Systems: An Application in Environmental Ecosystems
   SDM 2025 ·

   Yiming Sun

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10. DriveBLIP2: Attention-Guided Explanation Generation for Complex Driving Scenarios
    IROS 2025 ·

    Shihong Ling

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11. Learning to Retrieve for Environmental Knowledge Discovery: An Augmentation-Adaptive Self-Supervised Learning Framework
    ICDM 2025 ·

    Shiyuan Luo

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12. Multi-Scale Graph Learning for Anti-Sparse Downscaling
    AAAI 2025 ·

    Yingda Fan

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13. Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks
    AAAI 2025 ·

    Erhu He

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14. Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science
    AAAI 2025 ·

    Runlong Yu

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15. TreeFinder: A US-Scale Benchmark Dataset for Individual Tree Mortality Monitoring Using High-Resolution Aerial Imagery
    NeurIPS 2025 ·

    Zhihao Wang

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16. Truth Without Comprehension: A Bluesky Agenda for Steering the Fourth Mathematical Crisis
    ICDM 2025 ·

    Runlong Yu

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17. Unveiling Confirmation Bias in Chain-of-Thought Reasoning
    ACL 2025 ·

    Yue Wan

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18. What We Talk About When We Talk About AI for Science
    SDM 2025 ·

    Runlong Yu

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19. Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations
    ICDM 2024 ·

    Runlong Yu

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20. Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach
    SDM 2024 ·

    Praveen Ravirathinam

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21. Evolution-Based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes
    PPSN 2024 ·

    Runlong Yu

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22. ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction
    ICDM 2024 ·

    Kshitij Tayal

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23. Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks
    AAAI 2024 ·

    Erhu He

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24. Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features
    SDM 2024 ·

    Erhu He

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25. Only Attending What Matter within Trajectories - Memory-Efficient Trajectory Attention
    SDM 2024 ·

    Mingzhi Hu

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26. Referee-Meta-Learning for Fast Adaptation of Locational Fairness
    AAAI 2024 ·

    Weiye Chen

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27. SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
    AAAI 2024 ·

    Zhihao Wang

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28. SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
    NeurIPS 2024 ·

    Ruohan Li

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29. Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery
    AAAI 2024 ·

    Zelin Xu

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30. Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction
    SDM 2024 ·

    Nasrin Kalanat

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31. Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction
    IJCAI 2024 ·

    Tianshu Bao

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