The superconvergence of composite Newton-Cotes rules for Hadamard finite-part integral on a circle. - Xiaoping Zhang 005; Jiming Wu; Dehao Yu (Computing, 2009)

The superconvergence of composite trapezoidal rule for Hadamard finite-part integral on a circle and its application. - Xiaoping Zhang 005; Jiming Wu; Dehao Yu (Int. J. Comput. Math., 2010)

Superconvergence and ultraconvergence of Newton-Cotes rules for supersingular integrals. - Jin Li 010; Xiaoping Zhang 005; Dehao Yu (J. Comput. Appl. Math., 2010)

The superconvergence of the composite midpoint rule for the finite-part integral. - Jiming Wu; Zihuan Dai; Xiaoping Zhang 005 (J. Comput. Appl. Math., 2010)

A collocation scheme for a certain Cauchy singular integral equation based on the superconvergence analysis. - Dongjie Liu; Xiaoping Zhang 005; Jiming Wu (Appl. Math. Comput., 2013)

Quadrature rules for finite element approximations of 1D nonlocal problems. - Xiaoping Zhang 005; Max D. Gunzburger; Lili Ju (J. Comput. Phys., 2016)

The adaptive composite trapezoidal rule for Hadamard finite-part integrals on an interval. - Dongjie Liu; Jiming Wu; Xiaoping Zhang 005 (J. Comput. Appl. Math., 2017)

A vertex-centered and positivity-preserving scheme for anisotropic diffusion problems on arbitrary polygonal grids. - Xiaoping Zhang 005; Shuai Su; Jiming Wu (J. Comput. Phys., 2017)

Interactive Binary Image Segmentation with Edge Preservation. - Jianfeng Zhang; Liezhuo Zhang; Yuankai Teng; Xiaoping Zhang 005; Song Wang 002; Lili Ju (CoRR, 2018)

Semantic Stereo Matching With Pyramid Cost Volumes. - Zhenyao Wu; Xinyi Wu 002; Xiaoping Zhang 005; Song Wang 002; Lili Ju (ICCV, 2019)

Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos. - Zhenyao Wu; Xinyi Wu 002; Xiaoping Zhang 005; Song Wang 002; Lili Ju (ICCV, 2019)

Learning Depth from Single Image Using Depth-Aware Convolution and Stereo Knowledge. - Zhenyao Wu; Xinyi Wu 002; Xiaoping Zhang 005; Song Wang 002; Lili Ju (ICME, 2021)

Implicit Form Neural Network for Learning Scalar Hyperbolic Conservation Laws. - Xiaoping Zhang 005; Tao Cheng; Lili Ju (MSML, 2021)

Learning Green's Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver. - Yuankai Teng; Xiaoping Zhang 005; Zhu Wang 003; Lili Ju (CoRR, 2021)

SiamDoGe: Domain Generalizable Semantic Segmentation Using Siamese Network. - Zhenyao Wu; Xinyi Wu 002; Xiaoping Zhang 005; Lili Ju; Song Wang 002 (ECCV (38), 2022)

Learning Green’s Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver. - Yuankai Teng; Xiaoping Zhang 005; Zhu Wang 003; Lili Ju (MSML, 2022)

Deep surrogate model for learning Green's function associated with linear reaction-diffusion operator. - Junqing Ji; Lili Ju; Xiaoping Zhang 005 (CoRR, 2023)

A novel vertex-centered finite volume method for solving Richards' equation and its adaptation to local mesh refinement. - Yingzhi Qian; Xiaoping Zhang 005; Yan Zhu; Lili Ju; Alberto Guadagnini; Jiesheng Huang (J. Comput. Phys., 2024)

A novel deep convolutional surrogate model with incomplete solve loss for parameterized steady-state diffusion problems. - Junqing Jia; Xiaoping Zhang 005; Shuting Wang; Lili Ju; Hui Feng (J. Comput. Phys., 2025)