Wang, Yi

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

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

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

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

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