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Qingsong Xu 0001
Person information
- affiliation: Technical University of Munich (MUT), Data Science in Earth Observation, Germany
Other persons with the same name
- Qingsong Xu (aka: Qing-Song Xu) — disambiguation page
- Qingsong Xu 0002
— University of Macau, Department of Electromechanical Engineering, Taipa, China - Qingsong Xu 0003 (aka: Qing-Song Xu 0003) — Central South University, School of Mathematics and Statistics, Changsha, China
- Qingsong Xu 0004 — Xi'an University of Architecture and Technology, School of Management, Shaanxi, China
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2020 – today
- 2025
[d7]Fulei Wang
, Chaojun Ouyang
, Shu Zhou
, Qingsong Xu
:
A flash flood numerical modeling and forecasting tool in mountainous small catchments. Zenodo, 2025
[d6]Qingsong Xu
, Leon Frederik De Vos, Yilei Shi, Nils Rüther, Axel Bronstert, Xiao Xiang Zhu:
Urban Flood Modeling and Forecasting with Deep Neural Operator. Version 3. Zenodo, 2025 [all versions]
[i10]Qingsong Xu
, Jonathan L. Bamber, Nils Thuerey, Niklas Boers, Paul Bates, Gustau Camps-Valls, Yilei Shi, Xiao Xiang Zhu:
Physically consistent and uncertainty-aware learning of spatiotemporal dynamics. CoRR abs/2510.21023 (2025)- 2024
[d5]Qingsong Xu
, Yilei Shi, Jie Zhao
, Xiao Xiang Zhu
:
FloodCastBench: A Large-Scale Dataset and Foundation Models for Flooding Modeling and Forecasting. Version 1. Zenodo, 2024 [all versions]
[d4]Qingsong Xu
, Yilei Shi, Jie Zhao
, Xiao Xiang Zhu
:
FloodCastBench: A Large-Scale Dataset and Foundation Models for Flood Modeling and Forecasting. Version 2. Zenodo, 2024 [all versions]
[d3]Qingsong Xu
, Leon Frederik De Vos, Yilei Shi, Nils Rüther, Axel Bronstert, Xiao Xiang Zhu:
Urban Flood Modeling and Forecasting with Deep Neural Operator. Version UrbanFloodCast. Zenodo, 2024 [all versions]
[d2]Qingsong Xu
, Leon Frederik De Vos, Yilei Shi, Nils Rüther, Axel Bronstert, Xiao Xiang Zhu:
Urban Flood Modeling and Forecasting with Deep Neural Operator. Version 2. Zenodo, 2024 [all versions]
[i9]Qingsong Xu, Yilei Shi, Jonathan Bamber, Chaojun Ouyang, Xiao Xiang Zhu:
Large-scale flood modeling and forecasting with FloodCast. CoRR abs/2403.12226 (2024)
[i8]Xiao Xiang Zhu, Zhitong Xiong, Yi Wang, Adam J. Stewart, Konrad Heidler, Yuanyuan Wang, Zhenghang Yuan
, Thomas Dujardin, Qingsong Xu, Yilei Shi:
On the Foundations of Earth and Climate Foundation Models. CoRR abs/2405.04285 (2024)
[i7]Qingsong Xu, Nils Thuerey, Yilei Shi, Jonathan Bamber, Chaojun Ouyang, Xiao Xiang Zhu:
Physics-embedded Fourier Neural Network for Partial Differential Equations. CoRR abs/2407.11158 (2024)- 2023
[j6]Binlan Zhang
, Chaojun Ouyang
, Dongpo Wang
, Fulei Wang, Qingsong Xu
:
A PANN-Based Grid Downscaling Technology and Its Application in Landslide and Flood Modeling. Remote. Sens. 15(20): 5075 (2023)
[j5]Qingsong Xu
, Yilei Shi, Jianhua Guo, Chaojun Ouyang
, Xiao Xiang Zhu
:
UCDFormer: Unsupervised Change Detection Using a Transformer-Driven Image Translation. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023)
[j4]Qingsong Xu
, Yilei Shi, Xin Yuan
, Xiao Xiang Zhu
:
Universal Domain Adaptation for Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)
[c6]Qingsong Xu
, Yilei Shi, Xiao Xiang Zhu:
DisasterNets: Embedding Machine Learning in Disaster Mapping. IGARSS 2023: 2536-2539
[c5]Yue Zeng, Qingsong Xu, Xiao Xiang Zhu:
The Spatial-Temporal Role of Urban Green Space in Mitigating Land Surface Temperature in Chinese Megacities. IGARSS 2023: 3596-3599
[c4]Qingsong Xu, Yilei Shi, Xiao Xiang Zhu:
UCDFormer: Unsupervised Change Detection Using Real-time Transformers. JURSE 2023: 1-4
[d1]Yulin Xu
, Chaojun Ouyang
, Qingsong Xu
, Dongpo Wang
, Bo Zhao
, Yutao Luo
:
CAS Landslide Dataset: A Large-Scale and Multisensor Dataset for Deep Learning-Based Landslide Detection. Zenodo, 2023
[i6]Qingsong Xu, Yilei Shi, Xin Yuan, Xiao Xiang Zhu:
Universal Domain Adaptation for Remote Sensing Image Scene Classification. CoRR abs/2301.11387 (2023)
[i5]Qingsong Xu, Yilei Shi, Xiao Xiang Zhu:
DisasterNets: Embedding Machine Learning in Disaster Mapping. CoRR abs/2306.09815 (2023)
[i4]Qingsong Xu, Yilei Shi, Jianhua Guo, Chaojun Ouyang, Xiao Xiang Zhu:
UCDFormer: Unsupervised Change Detection Using a Transformer-driven Image Translation. CoRR abs/2308.01146 (2023)
[i3]Qingsong Xu
, Yilei Shi, Jonathan L. Bamber, Ye Tuo
, Ralf Ludwig, Xiao Xiang Zhu:
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology. CoRR abs/2310.05227 (2023)
[i2]Zhen Qian, Min Chen, Zhuo Sun, Fan Zhang, Qingsong Xu, Jinzhao Guo, Zhiwei Xie, Zhixin Zhang:
Multi-task deep learning for large-scale building detail extraction from high-resolution satellite imagery. CoRR abs/2310.18899 (2023)- 2022
[j3]Jianhua Guo
, Qingsong Xu
, Yue Zeng, Zhiheng Liu
, Xiaoxiang Zhu
:
Semi-Supervised Cloud Detection in Satellite Images by Considering the Domain Shift Problem. Remote. Sens. 14(11): 2641 (2022)
[j2]Qingsong Xu
, Xin Yuan
, Chaojun Ouyang
:
Class-Aware Domain Adaptation for Semantic Segmentation of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022)
[c3]Fahong Zhang, Yilei Shi, Qingsong Xu, Zhitong Xiong, Wei Yao, Xiao Xiang Zhu:
On the Generalization of the Semantic Segmentation Model for Landslide Detection. CDCEO@IJCAI 2022: 96-100
[c2]Linhao Dong, Yanbing Bai, Qingsong Xu
, Erick Mas:
Optimizing the Post-disaster Resource Allocation with Q-Learning: Demonstration of 2021 China Flood. DEXA (2) 2022: 256-262
[c1]Qingsong Xu
, Yilei Shi, Xiaoxiang Zhu:
Universal Domain Adaptation without Source Data for Remote Sensing Image Scene Classification. IGARSS 2022: 5341-5344- 2020
[j1]Qingsong Xu
, Xin Yuan
, Chaojun Ouyang
, Yue Zeng:
Attention-Based Pyramid Network for Segmentation and Classification of High-Resolution and Hyperspectral Remote Sensing Images. Remote. Sens. 12(21): 3501 (2020)
[i1]Qingsong Xu
, Xin Yuan, Chaojun Ouyang, Yue Zeng:
Spatial-spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images. CoRR abs/2008.08775 (2020)
Coauthor Index

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last updated on 2026-03-25 23:35 CET by the dblp team
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