Qingsong Xu

Orcid: 0000-0002-0906-7290

Affiliations:
  • Technical University of Munich (MUT), Data Science in Earth Observation, Germany


According to our database1, Qingsong Xu authored at least 26 papers between 2020 and 2025.

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

2025
Physically consistent and uncertainty-aware learning of spatiotemporal dynamics.
CoRR, October, 2025

Urban Flood Modeling and Forecasting with Deep Neural Operator.
Dataset, June, 2025

A flash flood numerical modeling and forecasting tool in mountainous small catchments.
Dataset, June, 2025

2024
Urban Flood Modeling and Forecasting with Deep Neural Operator.
Dataset, November, 2024

Urban Flood Modeling and Forecasting with Deep Neural Operator.
Dataset, November, 2024

FloodCastBench: A Large-Scale Dataset and Foundation Models for Flood Modeling and Forecasting.
Dataset, October, 2024

FloodCastBench: A Large-Scale Dataset and Foundation Models for Flooding Modeling and Forecasting.
Dataset, June, 2024

Physics-embedded Fourier Neural Network for Partial Differential Equations.
CoRR, 2024

On the Foundations of Earth and Climate Foundation Models.
CoRR, 2024

Large-scale flood modeling and forecasting with FloodCast.
CoRR, 2024

2023
CAS Landslide Dataset: A Large-Scale and Multisensor Dataset for Deep Learning-Based Landslide Detection.
Dataset, December, 2023

A PANN-Based Grid Downscaling Technology and Its Application in Landslide and Flood Modeling.
Remote. Sens., October, 2023

Universal Domain Adaptation for Remote Sensing Image Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

UCDFormer: Unsupervised Change Detection Using a Transformer-Driven Image Translation.
IEEE Trans. Geosci. Remote. Sens., 2023

Multi-task deep learning for large-scale building detail extraction from high-resolution satellite imagery.
CoRR, 2023

Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology.
CoRR, 2023

UCDFormer: Unsupervised Change Detection Using Real-time Transformers.
Proceedings of the Joint Urban Remote Sensing Event, 2023

The Spatial-Temporal Role of Urban Green Space in Mitigating Land Surface Temperature in Chinese Megacities.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

DisasterNets: Embedding Machine Learning in Disaster Mapping.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Class-Aware Domain Adaptation for Semantic Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Semi-Supervised Cloud Detection in Satellite Images by Considering the Domain Shift Problem.
Remote. Sens., 2022

Universal Domain Adaptation without Source Data for Remote Sensing Image Scene Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Optimizing the Post-disaster Resource Allocation with Q-Learning: Demonstration of 2021 China Flood.
Proceedings of the Database and Expert Systems Applications, 2022

On the Generalization of the Semantic Segmentation Model for Landslide Detection.
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

2020
Attention-Based Pyramid Network for Segmentation and Classification of High-Resolution and Hyperspectral Remote Sensing Images.
Remote. Sens., 2020

Spatial-spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images.
CoRR, 2020


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