End-to-end deep metric network for visual tracking. - Shengjing Tian; Shuwei Shen; Guoqiang Tian; Xiuping Liu; Baocai Yin (Vis. Comput., 2020)

Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification. - Shuwei Shen; Mengjuan Xu; Fan Zhang; Pengfei Shao; Honghong Liu; Liang Xu; Chi Zhang; Peng Liu; Zhihong Zhang; Peng Yao; Ronald X. Xu (CoRR, 2021)

An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization. - Fan Zhang; Bo Pan; Pengfei Shao; Peng Liu; Shuwei Shen; Peng Yao; Ronald X. Xu (CoRR, 2021)

Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Classification. - Liang Xu; Yi Cheng; Fan Zhang; Bingxuan Wu; Pengfei Shao; Peng Liu; Shuwei Shen; Peng Yao; Ronald X. Xu (CoRR, 2022)

Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification. - Peng Yao; Shuwei Shen; Mengjuan Xu; Peng Liu; Fan Zhang; Jinyu Xing; Pengfei Shao; Benjamin Kaffenberger; Ronald X. Xu (IEEE Trans. Medical Imaging, 2022)

MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation. - Liang Xu; Mingxiao Chen; Yi Cheng; Pengfei Shao; Shuwei Shen; Peng Yao; Ronald X. Xu (CoRR, 2023)

Phased progressive learning with coupling-regulation-imbalance loss for imbalanced data classification. - Liang Xu; Yi Cheng; Fan Zhang; Bingxuan Wu; Pengfei Shao; Peng Liu; Shuwei Shen; Peng Yao; Ronald X. Xu (Neural Comput. Appl., 2024)

Correction: Phased progressive learning with coupling-regulation-imbalance loss for imbalanced data classification. - Liang Xu; Yi Cheng; Fan Zhang; Bingxuan Wu; Pengfei Shao; Peng Liu; Shuwei Shen; Peng Yao; Ronald X. Xu (Neural Comput. Appl., 2024)

Investigation of lethal thresholds of nanosecond pulsed electric field in rabbit VX2 hepatic tumors through finite element analysis and verification with a single-needle bipolar electrode: A prospective strategy employing three-dimensional comparisons. - Yubo Wang; Rongwei Ma; Zhiliang Huang; Yuan Zhou; Ke Wang; Zhoufang Xiao; Qiang Guo; Dezhi Yang; Mingchen Han; Shuwei Shen; Junjie Qian; Xingxing Gao; et al. (Comput. Biol. Medicine, 2024)

SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection. - Zheng Zhang; Peng Yao; Mingxiao Chen; Liang Zeng; Pengfei Shao; Shuwei Shen; Ronald X. Xu (IEEE J. Biomed. Health Informatics, 2024)

DCST: Dual Cross-Supervision for Transformer-based Unsupervised Domain Adaptation. - Yi Cheng; Peng Yao; Liang Xu; Mingxiao Chen; Peng Liu; Pengfei Shao; Shuwei Shen; Ronald X. Xu (Neural Networks, 2025)

DMCA-Net: Dual-branch multi-granularity hierarchical contrast and cross-attention network for cervical abnormal cell detection. - Zhiping Wang; Peng Yao; Shuwei Shen; Pengfei Shao; Wei Ren; Liang Zeng; Mingzhai Sun; Ronald X. Xu (Neural Networks, 2025)