Bivariate Splines of Various Degrees for Numerical Solution of Partial Differential Equations. - Xianliang Hu; Danfu Han; Ming-Jun Lai (SIAM J. Sci. Comput., 2007)

A cubic spline approach for solving the arterial graft design problem. - Dong Jiang; Xianliang Hu; Danfu Han (BMEI, 2015)

A p-version two level spline method for 2D Navier-Stokes equations. - Xinping Shao; Danfu Han; Xianliang Hu (Comput. Math. Appl., 2016)

Two-Level Spline Approximations for Two-Dimensional Navier-Stokes Equations. - Xinping Shao; Danfu Han; Xianliang Hu (Comput. Methods Appl. Math., 2016)

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)

Spline element methods allowing multiple level hanging nodes. - Xianliang Hu; Danfu Han; Jiang Zhu 003 (J. Comput. Appl. Math., 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)

A level set method for shape optimization in semilinear elliptic problems. - Shengfeng Zhu; Xianliang Hu; Qingbiao Wu (J. Comput. Phys., 2018)

A phase-field method for shape optimization of incompressible flows. - Futuan Li; Xianliang Hu (Comput. Math. Appl., 2019)

A multi-scale strategy for deep semantic segmentation with convolutional neural networks. - Bonan Zhao 002; Xiaoshan Zhang; Zheng Li; Xianliang Hu (Neurocomputing, 2019)

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 002; Xiaoshan Zhang; Xin Guo; Miaomiao Li; Zheng Gu; Guosheng Fu; Minchun Hu; Yan Ping; Ye Sheng; et al. (Comput. Methods Programs Biomed., 2020)

An artificial neural network approximation for Cauchy inverse problems. - Yixin Li; Xianliang Hu (CoRR, 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)

A two-grid method for the phase-field model of photonic band gap optimization. - Jinyue Chen; Yixin Li; Xianliang Hu (Comput. Math. Appl., 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)

Artificial neural network approximations of Cauchy inverse problem for linear PDEs. - Yixin Li; Xianliang Hu (Appl. Math. Comput., 2022)

A two-scaled fully convolutional learning network for road detection. - Dingding Yu; Xianliang Hu; Kewei Liang (IET Image Process., 2022)

A parallel algorithm for multi-AGV systems. - Dingding Yu; Xianliang Hu; Kewei Liang; Jun Ying (J. Ambient Intell. Humaniz. Comput., 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)

Image segmentation by phase-field models with local information. - Jinyue Chen; Silu Chen; Xianliang Hu (Multim. Tools Appl., 2022)

Deep neural network with deformable convolution and side window convolution for image denoising. - Chang Liu; Xianliang Hu (Pattern Recognit. Lett., 2023)

Quantity study on a novel quantum neural network with alternately controlled gates for binary image classification. - Qi Bai; Xianliang Hu (Quantum Inf. Process., 2023)

HDC-Net: A hierarchical detection and counting framework for apple aphids with density-level classification. - Bo Ma; Zhuo Ren; Shuangxi Liu; Linlin Sun; Junlin Mu; Qiaolin Chen; Jiawei Xu; Rongsen Xie; Xianliang Hu; Yongqiang Zheng; Hongjian Zhang; Jinxing Wang (Comput. Electron. Agric., 2025)