A box-type scheme for fractional sub-diffusion equation with Neumann boundary conditions. - Xuan Zhao 004; Zhi-Zhong Sun (J. Comput. Phys., 2011)

Compact Alternating Direction Implicit Scheme for the Two-Dimensional Fractional Diffusion-Wave Equation. - Ya-nan Zhang 003; Zhi-Zhong Sun; Xuan Zhao 004 (SIAM J. Numer. Anal., 2012)

Compact difference scheme for the fractional sub-diffusion equation with Neumann boundary conditions. - Jincheng Ren; Zhi-Zhong Sun; Xuan Zhao 004 (J. Comput. Phys., 2013)

A Fourth-order Compact ADI scheme for Two-Dimensional Nonlinear Space Fractional Schrödinger Equation. - Xuan Zhao 004; Zhi-Zhong Sun; Zhao-peng Hao (SIAM J. Sci. Comput., 2014)

Second-order approximations for variable order fractional derivatives: Algorithms and applications. - Xuan Zhao 004; Zhi-Zhong Sun; George E. Karniadakis (J. Comput. Phys., 2015)

Compact Crank-Nicolson Schemes for a Class of Fractional Cattaneo Equation in Inhomogeneous Medium. - Xuan Zhao 004; Zhi-Zhong Sun (J. Sci. Comput., 2015)

On (s, t)-relaxed L(1, 1)-labelling of trees. - Wensong Lin; Xuan Zhao 004 (Int. J. Comput. Math., 2017)

Galerkin finite element method for two-dimensional space and time fractional Bloch-Torrey equation. - Yue Zhao 021; Weiping Bu; Xuan Zhao 004; Yifa Tang (J. Comput. Phys., 2017)

Finite-time Stability of Fractional-order Complex-valued Neural Networks with Time Delays. - Xiaoshuai Ding; Jinde Cao; Xuan Zhao 004; Fuad E. Alsaadi (Neural Process. Lett., 2017)

Disparate delays-induced bifurcations in a fractional-order neural network. - Chengdai Huang; Xuan Zhao 004; Xuehai Wang; Zhengxin Wang; Min Xiao 001; Jinde Cao (J. Frankl. Inst., 2019)

Superconvergence Points for the Spectral Interpolation of Riesz Fractional Derivatives. - Beichuan Deng; Zhimin Zhang 002; Xuan Zhao 004 (J. Sci. Comput., 2019)

The Temporal Second Order Difference Schemes Based on the Interpolation Approximation for the Time Multi-term Fractional Wave Equation. - Hong Sun; Xuan Zhao 004; Zhi-Zhong Sun (J. Sci. Comput., 2019)

Error Analysis and Numerical Simulations of Strang Splitting Method for Space Fractional Nonlinear Schrödinger Equation. - Shuying Zhai; Dongling Wang; Zhifeng Weng; Xuan Zhao 004 (J. Sci. Comput., 2019)

Novel bifurcation results for a delayed fractional-order quaternion-valued neural network. - Chengdai Huang; Xiaobing Nie; Xuan Zhao 004; Qiankun Song; Zhengwen Tu; Min Xiao 001; Jinde Cao (Neural Networks, 2019)

Short-Term Traffic Flow Prediction Based on the Intelligent Parameter Adjustment K-Nearest Neighbor Algorithm. - Xuan Zhao 004; Ruixuan Bi; Ran Yang; Yue Chu; Jianhua Guo 001; Wei Huang 017; Jinde Cao (ICAISC (2), 2020)

Data-Driven Temporal-Spatial Model for the Prediction of AQI in Nanjing. - Xuan Zhao 004; Meichen Song; Anqi Liu; Yiming Wang; Tong Wang; Jinde Cao (J. Artif. Intell. Soft Comput. Res., 2020)

Image enhancement to leverage the 3D morphological reconstruction of single-cell neurons. - Shuxia Guo; Xuan Zhao 004; Shengdian Jiang; Liya Ding 001; Hanchuan Peng (Bioinform., 2022)

Smart imaging to empower brain-wide neuroscience at single-cell levels. - Shuxia Guo; Jie Xue; Jian Liu; Xiangqiao Ye; Yichen Guo; Di Liu; Xuan Zhao 004; Feng Xiong; Xiaofeng Han; Hanchuan Peng (Brain Informatics, 2022)

Stability and convergence analysis of adaptive BDF2 scheme for the Swift-Hohenberg equation. - Hong Sun; Xuan Zhao 004; Haiyan Cao; Ran Yang; Ming Zhang (Commun. Nonlinear Sci. Numer. Simul., 2022)

Error analysis of the implicit variable-step BDF2 method for the molecular beam epitaxial model with slope selection. - Xuan Zhao 004; Haifeng Zhang; Hong Sun (CoRR, 2023)

Error estimate of the nonuniform L1 type formula for the time fractional diffusion-wave equation. - Hong Sun; Yanping Chen; Xuan Zhao 004 (CoRR, 2023)

Energy stable and L2 norm convergent BDF3 scheme for the Swift-Hohenberg equation. - Xuan Zhao 004; Ran Yang; Zhongqin Xue; Hong Sun (CoRR, 2023)

Energy stability and convergence of variable-step L1 scheme for the time fractional Swift-Hohenberg model. - Xuan Zhao 004; Ran Yang; Ren-jun Qi; Hong Sun (CoRR, 2023)

Tracing weak neuron fibers. - Yufeng Liu; Ye Zhong; Xuan Zhao 004; Lijuan Liu; Liya Ding 001; Hanchuan Peng (Bioinform., 2023)

SNAP: a structure-based neuron morphology reconstruction automatic pruning pipeline. - Liya Ding 001; Xuan Zhao 004; Shuxia Guo; Yufeng Liu; Lijuan Liu; Yimin Wang; Hanchuan Peng (Frontiers Neuroinformatics, 2023)

Analysis and Synthesis of Gradient Algorithms Based on Fractional-Order System Theory. - Yiheng Wei; Yuquan Chen; Xuan Zhao 004; Jinde Cao (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Lyapunov Stability Analysis for Incommensurate Nabla Fractional Order Systems. - Yiheng Wei; Xuan Zhao 004; Yingdong Wei; Yangquan Chen (J. Syst. Sci. Complex., 2023)

Energy stable and convergent BDF3-5 schemes for the molecular beam epitaxial model with slope selection. - Juan Li; Hong Sun; Xuan Zhao 004 (Int. J. Comput. Math., 2023)

Compatible Energy Dissipation of the Variable-Step ({ boldsymbol{L1}} ) Scheme for the Space-Time Fractional Cahn-Hilliard Equation. - Zhongqin Xue; Xuan Zhao 004 (SIAM J. Sci. Comput., 2023)

Energy dissipation law of the variable time-step fractional BDF2 scheme for the time fractional molecular beam epitaxial model. - Xuan Zhao 004; Zhuhan Jiang; Hong Sun (Int. J. Comput. Math., 2024)

Convergence analysis of the maximum principle preserving BDF2 scheme with variable time-steps for the space fractional Allen-Cahn equation. - Bingqing Hu; Wei Zhang; Xuan Zhao 004 (J. Comput. Appl. Math., 2024)

Energy dissipation and evolutions of the nonlocal Cahn-Hilliard model and space fractional variants using efficient variable-step BDF2 method. - Zhongqin Xue; Shuying Zhai; Xuan Zhao 004 (J. Comput. Phys., 2024)

A Unified Design of Energy Stable Schemes with Variable Steps for Fractional Gradient Flows and Nonlinear Integro-differential Equations. - Ren-jun Qi; Xuan Zhao 004 (SIAM J. Sci. Comput., 2024)

Variable-step numerical schemes and energy dissipation laws for time fractional Cahn-Hilliard model. - Ren-jun Qi; Wei Zhang; Xuan Zhao 004 (Appl. Math. Lett., 2024)

Deep Reinforcement Learning Using Optimized Monte Carlo Tree Search in EWN. - Yixian Zhang; Zhuoxuan Li 001; Yiding Cao; Xuan Zhao 004; Jinde Cao (IEEE Trans. Games, 2024)

Stability Region Analysis for Nabla Linear Time Invariant Fractional Order Systems. - Yiheng Wei; Linlin Zhao; Xuan Zhao 004; Jinde Cao (IEEE Trans. Syst. Man Cybern. Syst., 2025)