Yupu Zhang

Orcid: 0009-0007-4448-9089

Affiliations:
  • University of Florida, Gainesville, FL, USA


According to our database1, Yupu Zhang authored at least 13 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
EarthSpatialBench: Benchmarking Spatial Reasoning Capabilities of Multimodal LLMs on Earth Imagery.
CoRR, February, 2026

2025
Spatio-temporal Multivariate Time Series Forecast with Chosen Variables.
CoRR, October, 2025

Temporally Detailed Hypergraph Neural ODEs for Type 2 Diabetes Progression Modeling.
CoRR, October, 2025

DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction.
CoRR, July, 2025

Scaling Terrain-Aware Spatial Machine Learning for Flood Mapping on Large Scale Earth Imagery Data.
ACM Trans. Spatial Algorithms Syst., June, 2025

Spatio-temporal Partial Sensing Forecast of Long-term Traffic.
Trans. Mach. Learn. Res., 2025

Accelerate Coastal Ocean Circulation Model with AI Surrogate.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Scalable Terrain-Aware Flood Extent Mapping on Earth Imagery.
Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
A Fast AI Surrogate for Coastal Ocean Circulation Models.
CoRR, 2024

XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction.
CoRR, 2024

2023
A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023


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