| 2025 | ICCV | Towards a Unified Copernicus Foundation Model for Earth Vision. | Yi Wang, Zhitong Xiong, Chenying Liu, Adam J. Stewart, Thomas Dujardin, Nikolaos-Ioannis Bountos, Angelos Zavras, Franziska Gerken, Ioannis Papoutsis, Laura Leal-Taix, Xiao Xiang Zhu |
| 2024 | ECCV | Decoupling Common and Unique Representations for Multimodal Self-supervised Learning. | Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu |
| 2024 | IGARSS | Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation. | Chenying Liu, Conrad M. Albrecht, Yi Wang, Xiao Xiang Zhu |
| 2024 | IGARSS | AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing. | Chenying Liu, Hunsoo Song, Anamika Shreevastava, Conrad M. Albrecht |
| 2023 | IGARSS | DeepLCZChange: A REMOTE SENSING DEEP LEARNING MODEL ARCHITECTURE FOR URBAN CLIMATE RESILIENCE | Wenlu Sun, Yao Sun, Chenying Liu, Conrad M. Albrecht |
| 2022 | IGARSS | Monitoring Urban Forests from Auto-Generated Segmentation MAPS. | Conrad M. Albrecht, Chenying Liu, Yi Wang, Levente J. Klein, Xiao Xiang Zhu |
| 2021 | IGARSS | Integrated Gabor-Based Decision Fusion for Hyperspectral Image Classification. | Runlin Cai, Chenying Liu, Jun Li |
| 2019 | IGARSS | A New Spatio-Temporal Fusion Method for Remotely Sensed Data Based on Convolutional Neural Networks. | Yunfei Li, Chenying Liu, Lin Yan, Jun Li, Antonio Plaza, Bo Li |
| 2019 | IGARSS | Accessibility-Free Active Learning for Hyperspectral Image Classification. | Chenying Liu, Jun Li, Mercedes Eugenia Paoletti, Juan Mario Haut, Antonio Plaza, Qian Shi |
| 2016 | IGARSS | Gabor-based active learning for hyperspectral image classification. | Jie Hu, Chenying Liu, Lin He, Jun Li |