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🏂.

Selected Publications

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

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