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Haoyu Ji
Pennsylvania State University Main CampusMeeting roles in:
Differentiable high-resolution hydrologic and water quality simulations transform global hydrologic research
Distributed Differentiable Routing on the CONUS Hydrofabric
When Stream Temperature Meets Streamflow: A Scalable Approach to Modeling Climate-Sensitive Groundwater Recharge
Modeling Freshwater Inflows to Estuaries under Climate Change: A Physically-Based Approach
A Multiscale Machine Learning Framework for Suspended Sediment Concentration Prediction across the Contiguous United States
Accurate and Efficient Hourly Streamflow Downscaling or Prediction with Diffusion Model
Distinct Hydrologic Response Patterns and Trends Worldwide Revealed by Physics-embedded Learning
The AI-surpassing Physics-embedded AI model for Capturing Unseen Extreme Flood Events and Climate Change Impact Assessment
Differentiable PhysicsâInformed Machine Learning Enhances High-resolution Hydrologic Modeling
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