Zelin Xu

Orcid: 0009-0004-4419-3155

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


According to our database1, Zelin Xu authored at least 19 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
A Survey on Uncertainty Quantification Methods for Deep Learning.
ACM Comput. Surv., May, 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

Learning Individual Movement Shifts After Urban Disruptions with Social Infrastructure Reliance.
Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 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

Spatio-Temporal Partial Sensing Forecast for Long-term Traffic.
CoRR, 2024

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

Foundation Models for Spatiotemporal Tasks in the Physical World.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023


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