Xiaoshuang Zhou

According to our database, Xiaoshuang Zhou authored at least 20 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Nonobserver-Based Fixed-Time Output-Feedback Control for Uncertain Bridge Cranes System.

Xiaoshuang Zhou, Yana Yang, Heng Zhang, Junpeng Li, Changchun Hua

IEEE Trans. Ind. Electron., July, 2025

MSMTSeg: Multi-Stained Multi-Tissue Segmentation of Kidney Histology Images via Generative Self-Supervised Meta-Learning Framework.

Xueyu Liu, Rui Wang, Yexin Lai, Yongfei Wu, Hangbei Cheng, Yuanyue Lu, Jianan Zhang, Ning Hao, Chenglong Ban, Yanru Wang, Shuqin Tang, Yuxuan Yang, Ming Li, Xiaoshuang Zhou, Wen Zheng

IEEE J. Biomed. Health Informatics, June, 2025

Given-Performance PID-SMC for 4-DOF Tower Crane Systems Under Input Constraints.

Yana Yang, Tengfei Zhang, Xiaoshuang Zhou, Changchun Hua, Junpeng Li

IEEE Trans Autom. Sci. Eng., 2025

Segment Any Tissue: One-shot reference guided training-free automatic point prompting for medical image segmentation.

Xueyu Liu, Guangze Shi, Rui Wang, Yexin Lai, Jianan Zhang, Weixia Han, Min Lei, Ming Li, Xiaoshuang Zhou, Yongfei Wu, Chen Wang, Wen Zheng

Medical Image Anal., 2025

2024

Barrier Function-Based Adaptive Composite Sliding Mode Control for a Class of MIMO Underactuated Systems Subject to Disturbances.

Yana Yang, Xiaoshuang Zhou, Junpeng Li, Changchun Hua

IEEE Trans. Ind. Informatics, September, 2024

Classification and quantification of glomerular spike-like projections via deep residual multiple instance learning with multi-scale annotation.

Yilin Chen, Xueyu Liu, Fang Hao, Wen Zheng, Xiaoshuang Zhou, Ming Li, Yongfei Wu, Chen Wang

Multim. Tools Appl., September, 2024

2023

Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators.

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

Comput. Biol. Medicine, November, 2023

Automatic No-Reference kidney tissue whole slide image quality assessment based on composite fusion models.

Jiazi Ouyang, Xuetao Ma, Yongfei Wu, Ming Li, Chen Wang, Xiaoshuang Zhou, Petting Gao

Biomed. Signal Process. Control., April, 2023

Prediction of breast cancer metastasis by deep learning pathology.

Yuanyue Lu, Jun Zhang, Xueyu Liu, Zhihong Zhang, Wangxing Li, Xiaoshuang Zhou, Rongshan Li

IET Image Process., February, 2023

2022

Multi-instance inflated 3D CNN for classifying urine red blood cells from multi-focus videos.

Xinyu Li, Ming Li, Yongfei Wu, Xiaoshuang Zhou, Lifeng Zhang, Xinbo Ping, Xingna Zhang, Wen Zheng

IET Image Process., 2022

Estimation and inferences for varying coefficient partially nonlinear quantile models with censoring indicators missing at random.

Xiaoshuang Zhou, Peixin Zhao

Comput. Stat., 2022

IDA-MIL: Classification of Glomerular with Spike-like Projections via Multiple Instance Learning with Instance-level Data Augmentation.

Xi Wu, Yilin Chen, Xinyu Li, Xueyu Liu, Yifei Liu, Yongfei Wu, Ming Li, Xiaoshuang Zhou, Chen Wang

Comput. Methods Programs Biomed., 2022

2021

Efficient Estimation for the Derivative of Nonparametric Function by Optimally Combining Quantile Information.

Xiaoshuang Zhou, Xiulian Gao, Yukun Zhang, Xiuling Yin, Yanfeng Shen

Symmetry, 2021

CT Image Reconstruction via Nonlocal Low-Rank Regularization and Data-Driven Tight Frame.

Yanfeng Shen, Shuli Sun, Fengsheng Xu, Yanqin Liu, Xiuling Yin, Xiaoshuang Zhou

Symmetry, 2021

Multi-objective optimization and explanation for stroke risk assessment in Shanxi province.

Jing Ma, Yiyang Sun, Junjie Liu, Huaxiong Huang, Xiaoshuang Zhou, Shixin Xu

CoRR, 2021

Analysis and classification of main risk factors causing stroke in Shanxi Province.

Junjie Liu, Yiyang Sun, Jing Ma, Jiachen Tu, Yuhui Deng, Ping He, Huaxiong Huang, Xiaoshuang Zhou, Shixin Xu

CoRR, 2021

An efficient glomerular object locator for renal whole slide images using proposal-free network and dynamic scale evaluation method.

Xueyu Liu, Ming Li, Yongfei Wu, Yilin Chen, Fang Hao, Daoxiang Zhou, Chen Wang, Chuanfeng Ma, Guangze Shi, Xiaoshuang Zhou

AI Commun., 2021

2020

A new orthogonality empirical likelihood for varying coefficient partially linear instrumental variable models with longitudinal data.

Peixin Zhao, Xiaoshuang Zhou, Xiuli Wang, Xingshou Huang

Commun. Stat. Simul. Comput., 2020

MSA-MIL: A deep residual multiple instance learning model based on multi-scale annotation for classification and visualization of glomerular spikes.

Yilin Chen, Ming Li, Yongfei Wu, Xueyu Liu, Fang Hao, Daoxiang Zhou, Xiaoshuang Zhou, Chen Wang

CoRR, 2020

2018

Robust empirical likelihood for partially linear models via weighted composite quantile regression.

Peixin Zhao, Xiaoshuang Zhou

Comput. Stat., 2018