Transferable deep learning model based on the phenological matching principle for mapping crop extent. - Shuang Ge; Jinshui Zhang; Yaozhong Pan; Zhi Yang; Shuang Zhu (Int. J. Appl. Earth Obs. Geoinformation, 2021)

AI assisted method for efficiently generating breast ultrasound screening reports. - Shuang Ge; Qiongyu Ye; Wenquan Xie; Desheng Sun; Huabin Zhang; Xiaobo Zhou; Kehong Yuan (CoRR, 2021)

Quantitative evaluation of short-term resting-state brain networks for primary insomnia diagnosis. - Chi Zhang; Lina Sun; Shuang Ge; Yi Chang; Mingyan Jin; Yang Xiao; Hanbing Gao; Lin Wang; Fengyu Cong (Biomed. Signal Process. Control., 2022)

MIPR: Automatic Annotation of Medical Images with Pixel Rearrangement. - Pingping Dai; Haiming Zhu; Shuang Ge; Ruihan Zhang 004; Xiang Qian; Xi Li; Kehong Yuan (CoRR, 2022)

BSM loss: A superior way in modeling aleatory uncertainty of fine_grained classification. - Shuang Ge; Kehong Yuan; Maokun Han; Desheng Sun; Huabin Zhang; Qiongyu Ye (CoRR, 2022)

Distilling Multi-Modal Genomic Knowledge for Drug Response Prediction. - Shuang Ge; Shuqing Sun; Huan Xu; Zhixiang Ren (BCB, 2024)

Global attention based GNN with Bayesian collaborative learning for glomerular lesion recognition. - Qiming He; Shuang Ge; Siqi Zeng 002; Yanxia Wang; Jing Ye; Yonghong He; Jing Li; Zhe Wang 043; Tian Guan (Comput. Biol. Medicine, 2024)

Identifying and matching 12-level multistained glomeruli via deep learning for diagnosis of glomerular diseases. - Qiming He; Siqi Zeng 002; Shuang Ge; Yanxia Wang; Jing Ye; Yonghong He; Tian Guan; Zhe Wang 043; Jing Li (Int. J. Imaging Syst. Technol., 2024)

Multimodal Intent Recognition in E-Commerce: Challenges, Innovations, and Lightweight Solutions. - Junwen Liu; Haikuan Huang; Gang Huang; Shuang Ge; Jinlian Hu (WWW (Companion Volume), 2025)

Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective. - Shuang Ge; Shuqing Sun; Huan Xu; Qiang Cheng 001; Zhixiang Ren (Briefings Bioinform., 2025)

A multi-modal genomic knowledge distillation framework for drug response prediction. - Shuang Ge; Shuqing Sun; Huan Xu; Qiang Cheng 001; Zhixiang Ren (Appl. Intell., 2025)