Zhu Lab
@Zhu_XLab
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#AI and #DataScience in #EarthObservation for #SocialGood #RemoteSensing #MachineLearning #Urbanization #SDGs @TU_Muenchen. We strive for #OpenScience!
Munich
Joined April 2020
RT @xiaoxiang_zhu: #EarthNets: Empowering #AI4EO.our #EarthNets Platform developed @Zhu_XLab @TU_Muenchen got accepted @IEEE_GRSS #GRSM. pa….
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RT @xiaoxiang_zhu: 🚨 Our new paper introduces #FloodCast, a scalable AI-driven system for large-scale flood modeling using satellite data.….
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RT @xiaoxiang_zhu: 🚀 Our new paper on #PolyGNN, a graph neural network for 3D building reconstruction from point clouds, is out now! 🌍🏙️ It….
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RT @xiaoxiang_zhu: Excited to dive into #MachineLearning for #EarthObservation? 🌱🌐 Check out this free MOOC: "Introduction to Machine Learn….
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congrats, Sugandha!.
Happy to share that my PhD student Sugandha Doda successfully defended her PhD thesis on "Population Estimation Utilizing Earth Observation Data"! warmest congrats to Dr. Doda for this great achievement! 🌍📊 #PhDDefense #PopulationEstimation #Congratulations #AI4EO
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Congratulations, @koheidler.
Huge congratulations to Dr. Heidler @koheidler for his outstanding work on #deeplearning, #remotesensing & #polarregions. Proud of your achievements and looking forward to your future contributions! 🌍❄️📊.#PhD #ClimateChange #RemoteSensing #AI4EO #ProudSupervisor.
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RT @OrionLab_NOA: Join @shanzhao333 Orals #1 at the 2nd #ML4RS Workshop at #ICLR2024 on Causal GNNs for #WildfireDangerPrediction. 🗓️TOMOR….
arxiv.org
Wildfire forecasting is notoriously hard due to the complex interplay of different factors such as weather conditions, vegetation types and human activities. Deep learning models show promise in...
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RT @xiaoxiang_zhu: 🚀 Perspectives on Earth and Climate Foundation Models! 🌍 Check out our new paper, "On the Foundations of Earth and Clima….
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RT @xiaoxiang_zhu: 🌍Exciting updates from our @BMWK @DLR_en funded Center #ML4Earth ! On April 23, we held our first in-person progress mee….
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RT @xiaoxiang_zhu: Big News: we share the insights on global buildings from space today! Explore the unseen with #GlobalOpenBuildingMap! W….
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RT @xiaoxiang_zhu: 🚀 Dive into the #VisionLanguageModels in #RemoteSensing with our latest paper: "Vision-Language Models in Remote Sensing….
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RT @xiaoxiang_zhu: Our team is looking for a senior scientist/manager who is interested in working with us to help shape the profile of our….
asg.ed.tum.de
Wir suchen für unser Team ab sofort, in Vollzeit, eine/n Akademischen Rat a. Z. (m/w/d)
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The PI of our lab @xiaoxiang_zhu will give a keynote @ECMWF @esa #ML4ESOP workshop in May. Stay tuned. @ai4eo_de.
Keynote presentations are from @xiaoxiang_zhu on Machine Learning for Earth Observation & Beyond, and from Martin Schultz on what will come next in #AI for Weather models, Climate models & Earth system models. Full programme and to register by 3 May ➡️
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RT @ObadicIvica: Happy to share that our "Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes" paper (https:/….
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RT @xiaoxiang_zhu: How significant would #urbanization impact urban tree coverage? Jianhua extracted #UrbanTreeCoverage of more than 800 ci….
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RT @xiaoxiang_zhu: wish for one #EO #FoundationModel for all types of input data with different modalities #SAR #Optical, with different #….
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RT @xiaoxiang_zhu: #Causality instead of #correlation? We integrate causality with #GraphNeuralNetworks (#GNNs) to better understand the in….
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RT @xiaoxiang_zhu: #PopulationDensity estimation from #Space? In our recent paper @Zhu_XLab led by Sugandha, we use #opendata to do so with….
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RT @xiaoxiang_zhu: Curious about #Referring #RemoteSensing Image #Segmentation? It aims at segmenting out the objects from a RS image, give….
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RT @xiaoxiang_zhu: Interested in getting an overview on #building extraction from #RemoteSensing imagery? Qingyu complied a comprehensive s….
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