Gabor-based active learning for hyperspectral image classification. - Jie Hu 001; Chenying Liu 001; Lin He 001; Jun Li 009 (IGARSS, 2016)

Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines. - Lin He 001; Jun Li 009; Chenying Liu 001; Shutao Li (IEEE Trans. Geosci. Remote. Sens., 2018)

Feature-Driven Active Learning for Hyperspectral Image Classification. - Chenying Liu 001; Lin He 001; Zhetao Li; Jun Li 009 (IEEE Trans. Geosci. Remote. Sens., 2018)

A New Spatio-Temporal Fusion Method for Remotely Sensed Data Based on Convolutional Neural Networks. - Yunfei Li 006; Chenying Liu 001; Lin Yan 005; Jun Li 009; Antonio Plaza; Bo Li 006 (IGARSS, 2019)

Accessibility-Free Active Learning for Hyperspectral Image Classification. - Chenying Liu 001; Jun Li 009; Mercedes Eugenia Paoletti; Juan Mario Haut; Antonio Plaza; Qian Shi 001 (IGARSS, 2019)

Naive Gabor Networks. - Chenying Liu 001; Jun Li 009; Lin He 001; Antonio J. Plaza; Shutao Li; Bo Li 006 (CoRR, 2019)

Superpixel-Based Semisupervised Active Learning for Hyperspectral Image Classification. - Chenying Liu 001; Jun Li 009; Lin He 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Hyperspectral Image Spectral-Spatial-Range Gabor Filtering. - Lin He 001; Chenying Liu 001; Jun Li 009; Yuanqing Li 001; Shutao Li; Zhuliang Yu (IEEE Trans. Geosci. Remote. Sens., 2020)

Integrated Gabor-Based Decision Fusion for Hyperspectral Image Classification. - Runlin Cai; Chenying Liu 001; Jun Li 009 (IGARSS, 2021)

Semisupervised Discriminative Random Field for Hyperspectral Image Classification. - Bingkun Liang; Chenying Liu 001; Jun Li 009; Antonio Plaza; José M. Bioucas-Dias (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Naive Gabor Networks for Hyperspectral Image Classification. - Chenying Liu 001; Jun Li 009; Lin He 001; Antonio Plaza; Shutao Li; Bo Li 006 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Peaks Fusion assisted Early-stopping Strategy for Overhead Imagery Segmentation with Noisy Labels. - Chenying Liu 001; Conrad M. Albrecht; Yi Wang 072; Xiao Xiang Zhu 001 (IEEE Big Data, 2022)

Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection. - Yi Wang 072; Chenying Liu 001; Arti Tiwari; Micha Silver; Arnon Karnieli; Xiao Xiang Zhu 001; Conrad M. Albrecht (IEEE Big Data, 2022)

Monitoring Urban Forests from Auto-Generated Segmentation MAPS. - Conrad M. Albrecht; Chenying Liu 001; Yi Wang 072; Levente J. Klein; Xiao Xiang Zhu 001 (IGARSS, 2022)

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation. - Yi Wang 072; Nassim Ait Ali Braham; Zhitong Xiong; Chenying Liu 001; Conrad M. Albrecht; Xiao Xiang Zhu 001 (CoRR, 2022)

Phase-Induced Gabor-Based Multiview Active Learning for Hyperspectral Image Classification. - Runlin Cai; Chenying Liu 001; Jun Li 009 (IEEE Geosci. Remote. Sens. Lett., 2022)

DeepLCZChange: A REMOTE SENSING DEEP LEARNING MODEL ARCHITECTURE FOR URBAN CLIMATE RESILIENCECRediT. - Wenlu Sun; Yao Sun 005; Chenying Liu 001; Conrad M. Albrecht (IGARSS, 2023)

DeepLCZChange: A Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience. - Wenlu Sun; Yao Sun 005; Chenying Liu 001; Conrad M. Albrecht (CoRR, 2023)

DeCUR: decoupling common & unique representations for multimodal self-supervision. - Yi Wang 072; Conrad M. Albrecht; Nassim Ait Ali Braham; Chenying Liu 001; Zhitong Xiong; Xiao Xiang Zhu 001 (CoRR, 2023)

Decoupling Common and Unique Representations for Multimodal Self-supervised Learning. - Yi Wang 072; Conrad M. Albrecht; Nassim Ait Ali Braham; Chenying Liu 001; Zhitong Xiong; Xiao Xiang Zhu 001 (ECCV (29), 2024)

Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation. - Chenying Liu 001; Conrad M. Albrecht; Yi Wang 072; Xiao Xiang Zhu 001 (IGARSS, 2024)

AutoLCZ: Towards Automatized Local Climate Zone Mapping from Rule-Based Remote Sensing. - Chenying Liu 001; Hunsoo Song; Anamika Shreevastava; Conrad M. Albrecht (IGARSS, 2024)

CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation. - Chenying Liu 001; Conrad M. Albrecht; Yi Wang 072; Xiao Xiang Zhu 001 (CoRR, 2024)

AIO2: Online Correction of Object Labels for Deep Learning With Incomplete Annotation in Remote Sensing Image Segmentation. - Chenying Liu 001; Conrad M. Albrecht; Yi Wang 072; Qingyu Li; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

CromSS: Cross-Modal Pretraining With Noisy Labels for Remote Sensing Image Segmentation. - Chenying Liu 001; Conrad M. Albrecht; Yi Wang 072; Xiao Xiang Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Towards a Unified Copernicus Foundation Model for Earth Vision. - Yi Wang 072; Zhitong Xiong; Chenying Liu 001; Adam J. Stewart; Thomas Dujardin; Nikolaos-Ioannis Bountos; Angelos Zavras; Franziska Gerken; Ioannis Papoutsis; Laura Leal-Taixé; Xiao Xiang Zhu 001 (CoRR, 2025)