Accelerating magnetic resonance imaging via deep learning. - Shanshan Wang 002; Zhenghang Su; Leslie Ying; Xi Peng 004; Shun Zhu; Feng Liang; Dagan Feng 001; Dong Liang 001 (ISBI, 2016)

Validation of the Generalized Force Fields GAFF, CGenFF, OPLS-AA, and PRODRGFF by Testing Against Experimental Osmotic Coefficient Data for Small Drug-Like Molecules. - Shun Zhu (J. Chem. Inf. Model., 2019)

Underwater image quality evaluation via deep meta-learning: Dataset and objective method. - Tianhai Chen; Xichen Yang; Tianshu Wang 001; Nengxin Li; Shun Zhu; Xiaobo Shen 001 (Comput. Vis. Image Underst., 2025)

Underwater image quality assessment method via the fusion of visual and structural information. - Tianhai Chen; Xichen Yang; Tianshu Wang 001; Nengxin Li; Shun Zhu; Genlin Ji (Signal Process. Image Commun., 2025)

Meta-learning enhanced global-local feature fusion for image quality assessment. - Nengxin Li; Xichen Yang; Tianhai Chen; Shun Zhu; Zhongyuan Mao; Tianshu Wang 001; Xiaobo Shen 001 (Mach. Vis. Appl., 2025)

No-reference image quality for microscopic image: dataset and objective method. - Xinning Geng; Xichen Yang; Shun Zhu; Tianhai Chen; Nengxin Li; Zhongyuan Mao (Signal Image Video Process., 2025)