Zhu, Xiao Xiang
Munich Center for Machine Learning · Technical University of Munich
14 papers on CoChatORCID 0000-0001-5530-3613
Most cited papers
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Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
Zhu, X. X., Tuia, D., Mou, L., Xia, G.-S., Zhang, L., Xu, F., & Fraundorfer, F. (2017) · IEEE Geoscience and Remote Sensing Magazine
Remote-Sensing Image ClassificationRemote Sensing and Land Use
Cited by 3,400
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Self-Supervised Learning in Remote Sensing: A review
Wang, Y., Albrecht, C. M., Braham, N. A. A., Mou, L., & Zhu, X. X. (2022) · IEEE Geoscience and Remote Sensing Magazine
Remote-Sensing Image ClassificationDomain Adaptation and Few-Shot Learning
Cited by 364
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On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID
Long, Y., Xia, G.-S., Li, S., Yang, W., Yang, M. Y., Zhu, X. X., Zhang, L., & Li, D. (2021) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Remote-Sensing Image ClassificationRemote Sensing and Land Use
Cited by 250
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A Survey of Uncertainty in Deep Neural Networks
Gawlikowski, J., Tassi, C. R. N., Ali, M., Lee, J., Humt, M., Feng, J., Kruspe, A., Triebel, R., Jung, P., Roscher, R., et al. (2021) · arXiv
Adversarial Robustness in Machine LearningAdvanced Neural Network Applications
Cited by 232
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SSL4EO-S12: A large-scale multimodal, multitemporal dataset for self-supervised learning in Earth observation [Software and Data Sets]
Wang, Y., Braham, N. A. A., Xiong, Z., Liu, C., Albrecht, C. M., & Zhu, X. X. (2023) · IEEE Geoscience and Remote Sensing Magazine
Remote-Sensing Image ClassificationRemote Sensing and Land Use
Cited by 141
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Enabling country-scale land cover mapping with meter-resolution satellite imagery
Tong, X.-Y., Xia, G.-S., & Zhu, X. X. (2023) · ISPRS Journal of Photogrammetry and Remote Sensing
Remote-Sensing Image ClassificationRemote Sensing and Land Use
Cited by 125
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RRSIS: Referring Remote Sensing Image Segmentation
Yuan, Z., Mou, L., Hua, Y., & Zhu, X. X. (2024) · IEEE Transactions on Geoscience and Remote Sensing
Remote-Sensing Image ClassificationAdvanced Neural Network Applications
Cited by 81
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Long-term annual mapping of four cities on different continents by applying a deep information learning method to landsat data
Lyu, H., Lu, H., Mou, L., Li, W., Wright, J., Li, X., Li, X., Zhu, X., Wang, J., Yu, L., et al. (2018) · Remote Sensing
Remote-Sensing Image ClassificationRemote Sensing and Land Use
Cited by 70
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Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
Wang, Y., Albrecht, C. M., Braham, N. A. A., Liu, C., Xiong, Z., & Zhu, X. X. (2025) · Lecture Notes in Computer Science
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 49
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Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation
Xiong, Z., Wang, Y., Zhang, F., Stewart, A. J., Hanna, J., Borth, D., Papoutsis, I., Saux, B. L., Camps-Valls, G., & Zhu, X. X. (2024) · arXiv
Remote-Sensing Image ClassificationAdvanced Neural Network Applications
Cited by 26
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On the foundations of Earth foundation models
Zhu, X. X., Xiong, Z., Wang, Y., Stewart, A. J., Heidler, K., Wang, Y., Yuan, Z., Dujardin, T., Xu, Q., & Shi, Y. (2026) · Communications Earth & Environment
Artificial Intelligence ApplicationsModel Reduction and Neural Networks
Cited by 26
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A deep learning fusion network trained with clinical and high-frequency ultrasound images in the multi-classification of skin diseases in comparison with dermatologists: a prospective and multicenter study
Zhu, A.-Q., Wang, Q., Shi, Y.-L., Ren, W.-W., Cao, X., Ren, T.-T., Wang, J., Zhang, Y.-Q., Sun, Y.-K., Chen, X.-W., et al. (2024) · EClinicalMedicine
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 25
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Under the Radar -- Auditing Fairness in ML for Humanitarian Mapping
Kondmann, L., & Zhu, X. X. (2021) · arXiv
Ethics and Social Impacts of AIImpact of Light on Environment and Health
Cited by 3
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Blinded by the Light: Monitoring Local Economic Development Over Time With Nightlight Emissions
Kondmann, L., Taubenbock, H., & Zhu, X. X. (2021) · 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
Impact of Light on Environment and HealthHuman Mobility and Location-Based Analysis
Cited by 3
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