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Shuwei Shen
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2020 – today
- 2025
- [j7]Yi Cheng, Peng Yao, Liang Xu, Mingxiao Chen, Peng Liu, Pengfei Shao, Shuwei Shen, Ronald X. Xu:
DCST: Dual Cross-Supervision for Transformer-based Unsupervised Domain Adaptation. Neural Networks 181: 106749 (2025) - 2024
- [j6]Yubo Wang, Rongwei Ma, Zhiliang Huang, Yuan Zhou, Ke Wang, Zhoufang Xiao, Qiang Guo, Dezhi Yang, Mingchen Han, Shuwei Shen, Junjie Qian, Xingxing Gao, Zhen Liu, Lin Zhou, Shengyong Yin, Shunsen Zheng:
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. Comput. Biol. Medicine 168: 107824 (2024) - [j5]Liang Xu, Yi Cheng, Fan Zhang, Bingxuan Wu, Pengfei Shao, Peng Liu, Shuwei Shen, Peng Yao, Ronald X. Xu:
Phased progressive learning with coupling-regulation-imbalance loss for imbalanced data classification. Neural Comput. Appl. 36(18): 10391-10410 (2024) - [j4]Liang Xu, Yi Cheng, Fan Zhang, Bingxuan Wu, Pengfei Shao, Peng Liu, Shuwei Shen, Peng Yao, Ronald X. Xu:
Correction: Phased progressive learning with coupling-regulation-imbalance loss for imbalanced data classification. Neural Comput. Appl. 36(18): 10411 (2024) - [j3]Zheng Zhang, Peng Yao, Mingxiao Chen, Liang Zeng, Pengfei Shao, Shuwei Shen, Ronald X. Xu:
SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection. IEEE J. Biomed. Health Informatics 28(6): 3501-3512 (2024) - 2023
- [i5]Liang Xu, Mingxiao Chen, Yi Cheng, Pengfei Shao, Shuwei Shen, Peng Yao, Ronald X. Xu:
MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation. CoRR abs/2307.14588 (2023) - 2022
- [j2]Peng Yao, Shuwei Shen, Mengjuan Xu, Peng Liu, Fan Zhang, Jinyu Xing, Pengfei Shao, Benjamin Kaffenberger, Ronald X. Xu:
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification. IEEE Trans. Medical Imaging 41(5): 1242-1254 (2022) - [i4]Liang Xu, Yi Cheng, Fan Zhang, Bingxuan Wu, Pengfei Shao, Peng Liu, Shuwei Shen, Peng Yao, Ronald X. Xu:
Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Classification. CoRR abs/2205.12117 (2022) - 2021
- [i3]Shuwei Shen, Mengjuan Xu, Fan Zhang, Pengfei Shao, Honghong Liu, Liang Xu, Chi Zhang, Peng Liu, Zhihong Zhang, Peng Yao, Ronald X. Xu:
Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification. CoRR abs/2101.02353 (2021) - [i2]Peng Yao, Shuwei Shen, Mengjuan Xu, Peng Liu, Fan Zhang, Jinyu Xing, Pengfei Shao, Benjamin Kaffenberger, Ronald X. Xu:
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification. CoRR abs/2102.01284 (2021) - [i1]Fan Zhang, Bo Pan, Pengfei Shao, Peng Liu, Shuwei Shen, Peng Yao, Ronald X. Xu:
An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization. CoRR abs/2107.13200 (2021) - 2020
- [j1]Shengjing Tian, Shuwei Shen, Guoqiang Tian, Xiuping Liu, Baocai Yin:
End-to-end deep metric network for visual tracking. Vis. Comput. 36(6): 1219-1232 (2020)
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