Xianliang Hu

According to our database, Xianliang Hu authored at least 22 papers between 2007 and 2023.

Collaborative distances:

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

2023

Quantity study on a novel quantum neural network with alternately controlled gates for binary image classification.

Qi Bai, Xianliang Hu

Quantum Inf. Process., May, 2023

Deep neural network with deformable convolution and side window convolution for image denoising.

Chang Liu, Xianliang Hu

Pattern Recognit. Lett., 2023

2022

Image segmentation by phase-field models with local information.

Jinyue Chen, Silu Chen, Xianliang Hu

Multim. Tools Appl., 2022

Deep CTS: a Deep Neural Network for Identification MRI of Carpal Tunnel Syndrome.

Haiying Zhou, Qi Bai, Xianliang Hu, Ahmad Alhaskawi, Yanzhao Dong, Zewei Wang, Binjie Qi, Jianyong Fang, Vishnu Goutham Kota, Mohamed Hasan Abdulla Hasa Abdulla, Sohaib Hasan Abdullah Ezzi, Hui Lu

J. Digit. Imaging, 2022

A parallel algorithm for multi-AGV systems.

Dingding Yu, Xianliang Hu, Kewei Liang, Jun Ying

J. Ambient Intell. Humaniz. Comput., 2022

A two-scaled fully convolutional learning network for road detection.

Dingding Yu, Xianliang Hu, Kewei Liang

IET Image Process., 2022

Artificial neural network approximations of Cauchy inverse problem for linear PDEs.

Yixin Li, Xianliang Hu

Appl. Math. Comput., 2022

2021

A two-grid method for level-set based topology optimization with GPU-acceleration.

Yixin Li, Bangjian Zhou, Xianliang Hu

J. Comput. Appl. Math., 2021

A two-grid method for the phase-field model of photonic band gap optimization.

Jinyue Chen, Yixin Li, Xianliang Hu

Comput. Math. Appl., 2021

2020

On accuracy of approximate boundary and distributed H1 shape gradient flows for eigenvalue optimization.

Shengfeng Zhu, Xianliang Hu, Qingbiao Wu

J. Comput. Appl. Math., 2020

An artificial neural network approximation for Cauchy inverse problems.

Yixin Li, Xianliang Hu

CoRR, 2020

Detection of peripherally inserted central catheter (PICC) in chest X-ray images: A multi-task deep learning model.

Dingding Yu, Kaijie Zhang, Lingyan Huang, Bonan Zhao, Xiaoshan Zhang, Xin Guo, Miaomiao Li, Zheng Gu, Guosheng Fu, Minchun Hu, Yan Ping, Ye Sheng, Zhenjie Liu, Xianliang Hu, Ruiyi Zhao

Comput. Methods Programs Biomed., 2020

2019

A multi-scale strategy for deep semantic segmentation with convolutional neural networks.

Bonan Zhao, Xiaoshan Zhang, Zheng Li, Xianliang Hu

Neurocomputing, 2019

A phase-field method for shape optimization of incompressible flows.

Futuan Li, Xianliang Hu

Comput. Math. Appl., 2019

2018

A level set method for shape optimization in semilinear elliptic problems.

Shengfeng Zhu, Xianliang Hu, Qingbiao Wu

J. Comput. Phys., 2018

A multi-mesh finite element method for phase-field based photonic band structure optimization.

Shengyang Wu, Xianliang Hu, Shengfeng Zhu

J. Comput. Phys., 2018

Spline element methods allowing multiple level hanging nodes.

Xianliang Hu, Danfu Han, Jiang Zhu

J. Comput. Appl. Math., 2018

A nodal finite element approximation of a phase field model for shape and topology optimization.

Xianliang Hu, Yixin Li, Hangjie Ji

Appl. Math. Comput., 2018

2016

Two-Level Spline Approximations for Two-Dimensional Navier-Stokes Equations.

Xinping Shao, Danfu Han, Xianliang Hu

Comput. Methods Appl. Math., 2016

A p-version two level spline method for 2D Navier-Stokes equations.

Xinping Shao, Danfu Han, Xianliang Hu

Comput. Math. Appl., 2016

2015

A cubic spline approach for solving the arterial graft design problem.

Dong Jiang, Xianliang Hu, Danfu Han

Proceedings of the 8th International Conference on Biomedical Engineering and Informatics, 2015

2007

Bivariate Splines of Various Degrees for Numerical Solution of Partial Differential Equations.

Xianliang Hu, Danfu Han, Ming-Jun Lai

SIAM J. Sci. Comput., 2007