Yiqun Xie

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

   Zhihao Wang

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

   Yiming Sun

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

   Shiyuan Luo

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7. LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space
   NeurIPS 2025 ·

   Zhangyu Wang

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

   Yingda Fan

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9. Multimodal Foundation Models as Router Models for High-Resolution Aerial Image Segmentation
   ICDM 2025 ·

   Cooper Li

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

    Erhu He

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

    Runlong Yu

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

    Zhihao Wang

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

    Runlong Yu

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

    Runlong Yu

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15. Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction
    ICDM 2024 ·

    Yuhang Liu

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

    Runlong Yu

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

    Erhu He

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

    Erhu He

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

    Mingzhi Hu

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

    Weiye Chen

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

    Zhihao Wang

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

    Zelin Xu

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

    Nasrin Kalanat

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25. Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing
    SIGKDD 2024 ·

    Xinbo Zhao

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