E-DU: Deep neural network for multimodal medical image segmentation based on semantic gap compensation. - Haojia Wang; Xicheng Chen; Rui Yu; Zeliang Wei; Tianhua Yao; Chengcheng Gao; Yang Li; Zhenyan Wang; Dong Yi; Yazhou Wu (Comput. Biol. Medicine, 2022)

Improving the performance of lung nodule classification by fusing structured and unstructured data. - Ning Tang; Rui Zhang; Zeliang Wei; Xicheng Chen; Gaoming Li; Qiuyue Song; Dong Yi; Yazhou Wu (Inf. Fusion, 2022)

Integrating Internet multisource big data to predict the occurrence and development of COVID-19 cryptic transmission. - Chengcheng Gao; Rui Zhang; Xicheng Chen; Tianhua Yao; Qiuyue Song; Wei Ye; Pengpeng Li; Zhenyan Wang; Dong Yi; Yazhou Wu (npj Digit. Medicine, 2022)

Space-Transform Margin Loss with Mixup for Long-Tailed Visual Recognition. - Fangyu Zhou; Xicheng Chen; Haibo Ye (PRCV (8), 2023)

Genetic algorithm optimised Hadamard product method for inconsistency judgement matrix adjustment in AHP and automatic analysis system development. - Rui Zhang; Chengcheng Gao; Xicheng Chen; Fang Li; Dong Yi; Yazhou Wu (Expert Syst. Appl., 2023)

Corrigendum to "Improving the performance of lung nodule classification by fusing structured and unstructured data". - Ning Tang; Rui Zhang; Zeliang Wei; Xicheng Chen; Gaoming Li; Qiuyue Song; Dong Yi; Yazhou Wu (Inf. Fusion, 2023)

Class-Aware Feature Perturbation for Long-Tailed Visual Recognition. - Xicheng Chen; Haibo Ye; Fangyu Zhou (ICME, 2024)

Deep evolutionary fusion neural network: a new prediction standard for infectious disease incidence rates. - Tianhua Yao; Xicheng Chen; Haojia Wang; Chengcheng Gao; Jia Chen; Dali Yi; Zeliang Wei; Ning Yao; Yang Li; Dong Yi; Yazhou Wu (BMC Bioinform., 2024)