Xiao Xiang Zhu
Professor
Develops signal processing and machine learning methods for extracting geo-information from large Earth observation data, with applications to global urbanisation and climate change.
Xiao Xiang Zhu's lab at TUM works on physics, climate & scientific computing, signal processing & information theory and speech enhancement & signal processing. 231 papers since 2023, 21 at top venues, mostly TGRS and JSTARS. 24 PhD students. 40 alumni, most often to Alibaba and Google.
At a glance
- papers, 2023–2026
- 60/ year
- at T1 venues
- 9%
- PhD students
- 24
- MS students
- 0
- alumni listed
- 40
Papers by yearfrom the lab homepage, 2023–2026
- 45 papers2026 · T1 6 · collecting
- 53 papers2025 · T1 6
- 63 papers2024 · T1 7
- 70 papers2023 · T1 2
T1 venuesOtherVenues: TGRS, JSTARS, AAAI, CVPR, ICCV
Research focuspaper titles that use each topic's words
- global17 papers
- Physics, climate & scientific computing12 papers
- Speech enhancement & signal processing5 papers
- Signal processing & information theory4 papers
- develops signal0 papers
Paper list
From the lab homepage.
202645 papers
- International Journal of Geographical Information Science, in pressA Deep Dive into OpenStreetMap Research Since its Inception (2008–2024): Contributors, Topics, and Future Trends
- Scientific DataA Large-Scale, Multitask, Multisensory Dataset for Climate-Aware Crop Monitoring in the US from 2018–2022 (opens in a new tab)
- TGRSAdaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification
- JSTARSAssessing Cocoa Landuse Change and Exposure to Artisanal and Small-Scale Gold Mining Using Satellite Imagery
- International Journal of Applied Earth Observation and Geoinformation, in pressAutomatic Alignment of Semantic Building Models with Digital City Models Through Multi-Level Point Cloud Semantic Segmentation and Registration Using PSO Optimization: A Case Study of the TUM Main Campus
- NeurIPS (T1)Beyond Pixel-wise Supervision: Local Structure Regularization for Semantic Segmentation
- ISPRS Journal of Photogrammetry and Remote Sensing, in pressCausal Graph Neural Networks for Robust Wildfire Forecasting Across Geographic Shifts
- TPAMI (T1)Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning (opens in a new tab)
- IEEE Geoscience and Remote Sensing Magazine, in pressEarth Embeddings: Towards AI-Centric Representations of Our Planet
- Proceedings of AAAI-26 AI for Environmental Science Workshop, SingaporeEcological Determinants of Antidepressants Prescriptions in England: Using Machine Learning for Causal Discovery
- Science (T1)Enhancing Europe's Competitiveness by Empowering Researchers as Innovators (opens in a new tab)
- JSTARSEnhancing Monocular Building Height Estimation via Weak Supervision from Imperfect Labels
202553 papers
- Scientific DataA Spatio-Temporal Dataset for Satellite-Based Landslide Detection (opens in a new tab)
- IEEE Geoscience and Remote Sensing MagazineArtificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward (opens in a new tab)
- The CryosphereAutomatic Grounding Line Delineation of DInSAR Interferograms Using Deep Learning (opens in a new tab)
- International Journal of Applied Earth Observation and GeoinformationBANet: A Bilateral Attention Network for Extracting Changed Buildings between Remote Sensing Imagery and Cadastral Maps (opens in a new tab)
- Hydrological Sciences JournalBuilding Resilient Urban Water Systems: Emerging Opportunities for Solving Long-Lasting Challenges (opens in a new tab)
- TGRSCan Uncertainty Quantification Benefit From Label Embeddings? A Case Study on Local Climate Zone Classification (opens in a new tab)
- IEEE Geoscience and Remote Sensing Magazine, in pressChatEarthBench: Benchmarking Multimodal Large Language Models for Earth Observation
- Earth System Science DataChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models (opens in a new tab)
- TGRSCromSS: Cross-modal pretraining with noisy labels for remote sensing image segmentation (opens in a new tab)
- Energy and BuildingsDeep learning and remote sensing for scalable building age prediction in urban energy modeling (opens in a new tab)
- JSTARSDeep Learning-based GNSS-R Global Vegetation Water Content: Dataset, Estimation, and Uncertainty (opens in a new tab)
- Applied GeographyDistributions of types of urban fabrics around the world: Beyond narratives of global regularities and local specificities (opens in a new tab)
202463 papers
- Scientific ReportsA Bayesian spatio-temporal model of COVID-19 spread in England (opens in a new tab)
- Earth and Space ScienceA Deep learning method for dynamic process modeling of real landslides based on Fourier neural operator (opens in a new tab)
- Earth System Science DataA high-resolution calving front data product for marine-terminating glaciers in Svalbard (opens in a new tab)
- TGRSA real-time unsupervised hyperspectral band selection via spatial-spectral information fusion based downscaled region (opens in a new tab)
- TGRSA Review of Building Extraction from Remote Sensing Imagery: Geometrical Structures and Semantic Attributes (opens in a new tab)
- TGRSAIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation (opens in a new tab)
- ISME communicationsAir monitoring by nanopore sequencing (opens in a new tab)
- The InnovationArtificial intelligence for geoscience: Progress, challenges, and perspectives (opens in a new tab)
- Sustainable Cities and SocietyAssessing the Macro-scale Patterns of Urban Tree Canopy Cover in Brazil Using High-resolution Remote Sensing Images (opens in a new tab)
- IEEE Geoscience and Remote Sensing MagazineBeyond Grid Data: Exploring Graph Neural Networks for Earth Observation (opens in a new tab)
- Pattern RecognitionBeyond local patches: Preserving global-local interactions by enhancing self-attention via 3D point cloud tokenization (opens in a new tab)
- IGARSS - IEEE International Geoscience and Remote Sensing SymposiumBuilding Attributes Recognition with Noisy and Incomplete Labels
202370 papers
- International Journal of Applied Earth Observation and Geoinformation3DCentripetalNet: Building height retrieval from Monocular Remote Sensing Imagery (opens in a new tab)
- ISPRS Journal of Photogrammetry and Remote SensingA 2D/3D multimodal data simulation approach with applications on urban semantic segmentation, building extraction and change detection (opens in a new tab)
- International Journal of Applied Earth Observation and GeoinformationA co-learning method to utilize optical images and photogrammetric point clouds for building extraction (opens in a new tab)
- Annals of Mathematics and Artificial IntelligenceA data-driven approach to neural architecture search initialization (opens in a new tab)
- IEEE Transactions Geoscience and Remote SensingA Deep Active Contour Model for Delineating Glacier Calving Fronts (opens in a new tab)
- JSTARSA Novel Spectral Indices-Driven Spectral-Spatial-Context Attention Network for Automatic Cloud Detection (opens in a new tab)
- Remote SensingA PANN-Based Grid Downscaling Technology and Its Application in Landslide and Flood Modeling (opens in a new tab)
- Artificial Intelligence ReviewA survey of uncertainty in deep neural networks (opens in a new tab)
- IEEE Transactions Geoscience and Remote SensingAdaptive Morphology Filter: A Lightweight Module for Deep Hyperspectral Image Classification (opens in a new tab)
- IEEE Transactions Geoscience and Remote SensingAdaptMatch: Adaptive Matching for Semi-supervised Binary Segmentation of Remote Sensing Images (opens in a new tab)
- Frontiers in Remote SensingAdvances in Deep Learning Approaches Applied to Remotely Sensed Images (opens in a new tab)
- International Journal of Applied Earth Observation and GeoinformationAn Adaptive Image Fusion Method for Sentinel-2 Images and High-Resolution Images with Long-Time Intervals (opens in a new tab)
Where alumni went40 listed, 80% to industry
Industry 4Academia 1
Most often to
- Alibaba
- Google DeepMind
Also to
- CUHK
Apply to TUMRolling
Not announced yet
Computer Science Doctorate (CIT)
- Round
- Rolling (position-based)
- Opens
- —
- GRE
- See program page
- English
- Very good written and spoken English; no minimum test score
- Fee
- See program page
Confirmed on the program page.
Similar labsnearest by research summary
- CNTsinghua
Jianfei Chen
- Generative & foundation models
- USNYU
Juliana Freire
- Recommendation, search & web
- CNSJTU
Weiran Huang
- Efficient training & inference
- CNTsinghua
Yuhao Wang
- Learning theory & optimization
- SGNUS
Jin Song Dong
- Probabilistic & causal inference
- CNSJTU
Linfeng Zhang
- Efficient training & inference
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.