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Xiaoshuang Zhou
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2020 – today
- 2024
- [j13]Yilin Chen, Xueyu Liu, Fang Hao, Wen Zheng, Xiaoshuang Zhou, Ming Li, Yongfei Wu, Chen Wang:
Classification and quantification of glomerular spike-like projections via deep residual multiple instance learning with multi-scale annotation. Multim. Tools Appl. 83(31): 76529-76549 (2024) - [j12]Yana Yang, Xiaoshuang Zhou, Junpeng Li, Changchun Hua:
Barrier Function-Based Adaptive Composite Sliding Mode Control for a Class of MIMO Underactuated Systems Subject to Disturbances. IEEE Trans. Ind. Informatics 20(9): 11429-11437 (2024) - 2023
- [j11]Jiazi Ouyang, Xuetao Ma, Yongfei Wu, Ming Li, Chen Wang, Xiaoshuang Zhou, Petting Gao:
Automatic No-Reference kidney tissue whole slide image quality assessment based on composite fusion models. Biomed. Signal Process. Control. 82: 104547 (2023) - [j10]Xueyu Liu, Yongfei Wu, Yilin Chen, Dongna Hui, Jianan Zhang, Fang Hao, Yuanyue Lu, Hangbei Cheng, Yue Zeng, Weixia Han, Chen Wang, Ming Li, Xiaoshuang Zhou, Wen Zheng:
Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators. Comput. Biol. Medicine 166: 107470 (2023) - [j9]Yuanyue Lu, Jun Zhang, Xueyu Liu, Zhihong Zhang, Wangxing Li, Xiaoshuang Zhou, Rongshan Li:
Prediction of breast cancer metastasis by deep learning pathology. IET Image Process. 17(2): 533-543 (2023) - 2022
- [j8]Xi Wu, Yilin Chen, Xinyu Li, Xueyu Liu, Yifei Liu, Yongfei Wu, Ming Li, Xiaoshuang Zhou, Chen Wang:
IDA-MIL: Classification of Glomerular with Spike-like Projections via Multiple Instance Learning with Instance-level Data Augmentation. Comput. Methods Programs Biomed. 225: 107106 (2022) - [j7]Xiaoshuang Zhou, Peixin Zhao:
Estimation and inferences for varying coefficient partially nonlinear quantile models with censoring indicators missing at random. Comput. Stat. 37(4): 1727-1750 (2022) - [j6]Xinyu Li, Ming Li, Yongfei Wu, Xiaoshuang Zhou, Lifeng Zhang, Xinbo Ping, Xingna Zhang, Wen Zheng:
Multi-instance inflated 3D CNN for classifying urine red blood cells from multi-focus videos. IET Image Process. 16(8): 2114-2123 (2022) - 2021
- [j5]Xueyu Liu, Ming Li, Yongfei Wu, Yilin Chen, Fang Hao, Daoxiang Zhou, Chen Wang, Chuanfeng Ma, Guangze Shi, Xiaoshuang Zhou:
An efficient glomerular object locator for renal whole slide images using proposal-free network and dynamic scale evaluation method. AI Commun. 34(4): 245-258 (2021) - [j4]Yanfeng Shen, Shuli Sun, Fengsheng Xu, Yanqin Liu, Xiuling Yin, Xiaoshuang Zhou:
CT Image Reconstruction via Nonlocal Low-Rank Regularization and Data-Driven Tight Frame. Symmetry 13(10): 1873 (2021) - [j3]Xiaoshuang Zhou, Xiulian Gao, Yukun Zhang, Xiuling Yin, Yanfeng Shen:
Efficient Estimation for the Derivative of Nonparametric Function by Optimally Combining Quantile Information. Symmetry 13(12): 2387 (2021) - [i3]Junjie Liu, Yiyang Sun, Jing Ma, Jiachen Tu, Yuhui Deng, Ping He, Huaxiong Huang, Xiaoshuang Zhou, Shixin Xu:
Analysis and classification of main risk factors causing stroke in Shanxi Province. CoRR abs/2106.00002 (2021) - [i2]Jing Ma, Yiyang Sun, Junjie Liu, Huaxiong Huang, Xiaoshuang Zhou, Shixin Xu:
Multi-objective optimization and explanation for stroke risk assessment in Shanxi province. CoRR abs/2107.14060 (2021) - 2020
- [j2]Peixin Zhao, Xiaoshuang Zhou, Xiuli Wang, Xingshou Huang:
A new orthogonality empirical likelihood for varying coefficient partially linear instrumental variable models with longitudinal data. Commun. Stat. Simul. Comput. 49(12): 3328-3344 (2020) - [i1]Yilin Chen, Ming Li, Yongfei Wu, Xueyu Liu, Fang Hao, Daoxiang Zhou, Xiaoshuang Zhou, Chen Wang:
MSA-MIL: A deep residual multiple instance learning model based on multi-scale annotation for classification and visualization of glomerular spikes. CoRR abs/2007.00858 (2020)
2010 – 2019
- 2018
- [j1]Peixin Zhao, Xiaoshuang Zhou:
Robust empirical likelihood for partially linear models via weighted composite quantile regression. Comput. Stat. 33(2): 659-674 (2018)
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