Welcome

Welcome to my home page ㋡! I am a PhD candidate at Technical University of Munich (TUM) under the supervision of Prof. Xiaoxiang Zhu and Dr. Conrad M Albrecht. My doctoral research focuses on self-/weakly-supervised machine learning techniques and their applications in remote sensing and Earth observation, especially in multimodal scenarios.

I got my master’s degree at University of Stuttgart, and my bachelor’s degree at Wuhan University. I come from Huai’an, a historical and cultural city in Jiangsu, east coast of China. I enjoy challenges and adventures, currently addicted to exploring the Alps through hiking and snowboarding🏂.

• [2025-06] Our paper "Towards a Unified Copernicus Foundation Model for Earth Vision" has been accepted to ICCV 2025.
• [2025-06] Our paper Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation received the Best Paper Award at CVPR 2025 Earth Vision Workshop.

Selected Publications

Towards a Unified Copernicus Foundation Model for Earth Vision, ICCV 2025.
Yi Wang, Zhitong Xiong, Chenying Liu, Adam J. Stewart, Thomas Dujardin, Nikolaos Ioannis Bountos, Angelos Zavras, Franziska Gerken, Ioannis Papoutsis, Laura Leal-Taixé, Xiao Xiang Zhu
multimodal self-supervised learning, spectrum/language guided spectral/variable hypernetwork for any modality, Copernicus-Pretrain + Copernicus-FM + Copernicus-Bench

Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining, IEEE TGRS 2024.
Yi Wang, Conrad M Albrecht, Xiao Xiang Zhu
soft contrastive learning + continual pretraining, SAR/optical

Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities, Arxiv 2024.
Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, Xiao Xiang Zhu
wavelength dynamic hypernetwork enabling flexible spectral channels, SAR/MS/HS/RGB

Decoupling common and unique representations for multimodal self-supervised learning, ECCV 2024 (oral).
Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu
modality decoupling for better multimodal representations, SAR-MS/RGB-DEM/RGB-Depth

Feature Guided Masked Autoencoder for self-supervised learning in remote sensing, IEEE JSTARS 2023.
Yi Wang, Hugo Hernández Hernández, Conrad M Albrecht, Xiao Xiang Zhu
masked image modeling with feature guidance, EuroSAT-SAR dataset, SAR/optical

SSL4EO-S12: A large-scale multimodal, multitemporal dataset for self-supervised learning in Earth observation, IEEE GRSM 2023.
Yi Wang, Nassim Ait Ali Braham, Zhitong Xiong, Chenying Liu, Conrad M Albrecht, Xiao Xiang Zhu
pretraining dataset&benchmark + extended in-domain studies, SAR/optical

Self-supervised learning in remote sensing: A review, IEEE GRSM 2022.
Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham, Lichao Mou, Xiao Xiang Zhu
survey of self-supervised learning + preliminary in-domain studies