
Xiaoxiang ZHU
@xiaoxiang_zhu
Prof for AI and Data Science for Earth Observation @TU_muenchen, PI of @zhu_xlab and @ai4eo_de, co-director Munich Data Science Institute - opinions are my own
ID: 888857981403582465
https://github.com/zhu-xlab 22-07-2017 20:27:11
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3,3K Followers
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Huge congratulations to Dr. Heidler Konrad Heidler for his outstanding work on #deeplearning, #remotesensing & #polarregions. Proud of your achievements and looking forward to your future contributions! 🌍❄️📊 #PhD #ClimateChange #RemoteSensing #AI4EO #ProudSupervisor


🌍 How can we better interpret socioeconomic outcomes from satellite imagery? 🌍 Check our paper, "Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes," led by Ivica Obadic, accepted by #CVPR2024 EarthVision ! 📊🛰️ Link: arxiv.org/abs/2404.09768



very happy to talk about perspectives on Earth and climate #FoundationModels at the PhD course on #SSL4EO organized by Nico Lang et al. Other speakers are: Konstantin Klemmer, @JanDirkWegner1, Marc Rußwurm, Randall Balestriero, @brunosan, TheoXiong Register here: ankitkariryaa.github.io/ssl4eo/

Today is the first day of #AI4EOSymposium2024. We are ready to welcome the 140+ registered participants to kick start our exciting two day event organised by International AI Future Lab on AI4EO at the @ed_tum. #AI4EO


It is exciting to see our #AI4EO community growing. #AI4EOSymposium2024 International AI Future Lab on AI4EO



The Munich Data Science Institute TU München Munich Data Science Institute is offering an attractive Visiting Researchers Program. If you are interested in visiting us International AI Future Lab on AI4EO for joint #AI4EO research, please have a look: mdsi.tum.de/en/mdsi/resear…


We are thrilled to host our ThinkingEarth_EU consortium TU München to discuss the progress we made on the development of #Copernicus #FoundationModels for a #ThinkingEarth, funded by Horizon Europe 🇪🇺 Link to project: thinking-earth.eu Ioannis Papoutsis ISP • Image and Signal Processing Laura Leal-Taixe




#EarthNets: Empowering #AI4EO our #EarthNets Platform developed Zhu Lab TU München got accepted IEEE Geoscience and Remote Sensing Society #GRSM. paper: ieeexplore.ieee.org/document/10731… platform: earthnets.github.io Main features: 500+ datasets with 10+ attributes, 50+ SOTA models, and 10+libraries

Our latest paper, "Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation" IEEE Geoscience and Remote Sensing Society #GRSM! 🌍 How #GNNs revolutionize #EO applications like weather forecasting, disaster management, and climate analysis? Link: arxiv.org/abs/2411.03223 #AI #GNNs #ClimateTech


My lab TU München is seeking applications for a Doctoral Candidate in Self-supervised Learning #ssl of #TimeSeries Data Please apply here by Nov 30th: asg.ed.tum.de/sipeo/jobs/ #AI4EO Zhu Lab International AI Future Lab on AI4EO @ed_tum lab: asg.ed.tum.de/sipeo/home/ git: github.com/zhu-xlab


📢 New research in #npjUrbanSustainability by Qihao Weng 's team The Hong Kong Polytechnic University (PolyU) with Greg Asner , Paolo Gamba Xiaoxiang ZHU explores AI’s transformative role in urban observation & mapping. Read more: nature.com/articles/s4294…


Excited to share our new paper Nature Communications on the impacts of Arctic warming on Svalbard glaciers! We observed significant glacier retreats and widespread seasonal calving patterns since 1985 driven by rising oceanic and atmospheric temperatures. Read at rdcu.be/d6mpb
