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Xiaofeng Liu
University of Michigan Ann ArborMeeting roles in:
Advancing Water Science Through Artificial Intelligence: Lessons, Strategies, and New Frontiers I Oral
Advancing Water Science Through Artificial Intelligence: Lessons, Strategies, and New Frontiers II Poster
Improved Water Quality Prediction Using a Foundation Model
Identifying trustworthiness challenges in deep learning models for continental-scale water quality prediction
Evaluating Hybrid Models for Sediment Yield Prediction and Watershed Process Understanding
Using Entity-Aware LSTM to Enhance Streamflow Predictions in Transboundary and Large Lake Basins
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