A splitting-step algorithm for reflected stochastic differential equations in R+1. - Deng Ding; Ying Ying Zhang (Comput. Math. Appl., 2008)

An efficient pricing method for rainbow options based on two-dimensional modified sine-sine series expansions. - Qing-Jiang Meng; Deng Ding (Int. J. Comput. Math., 2013)

Some properties of finite-time stable stochastic nonlinear systems. - Juliang Yin; Deng Ding; Zhi Liu 005; Suiyang Khoo (Appl. Math. Comput., 2015)

Circulant preconditioning technique for barrier options pricing under fractional diffusion models. - Wenfei Wang; Xu Chen 002; Deng Ding; Siu-Long Lei (Int. J. Comput. Math., 2015)

A fast preconditioned policy iteration method for solving the tempered fractional HJB equation governing American options valuation. - Xu Chen 002; Wenfei Wang; Deng Ding; Siu-Long Lei (Comput. Math. Appl., 2017)

A regression-based numerical scheme for backward stochastic differential equations. - Deng Ding; Xiaofei Li; Yiqi Liu (Comput. Stat., 2017)

Method-Level Permission Analysis Based on Static Call Graph of Android Apps. - Yan Hu; Weiqiang Kong; Deng Ding; Jun Yan 009 (DSA, 2018)

A Fast Preconditioned Penalty Method for American Options Pricing Under Regime-Switching Tempered Fractional Diffusion Models. - Siu-Long Lei; Wenfei Wang; Xu Chen 002; Deng Ding (J. Sci. Comput., 2018)

A fast preconditioned iterative method for two-dimensional options pricing under fractional differential models. - Xu Chen 002; Deng Ding; Siu-Long Lei; Wenfei Wang (Comput. Math. Appl., 2020)

An implicit-explicit preconditioned direct method for pricing options under regime-switching tempered fractional partial differential models. - Xu Chen 002; Deng Ding; Siu-Long Lei; Wenfei Wang (Numer. Algorithms, 2021)

A linearized compact ADI numerical method for the two-dimensional nonlinear delayed Schrödinger equation. - Hongyu Qin; Fengyan Wu; Deng Ding (Appl. Math. Comput., 2022)

An Efficient 1 Iteration Learning Algorithm for Gaussian Mixture Model And Gaussian Mixture Embedding For Neural Network. - Weiguo Lu; Xuan Wu; Deng Ding; Gangnan Yuan (CoRR, 2023)

A linearized fourth-order compact ADI method for phytoplankton-zooplankton model arising in marine ecosystem. - Gangnan Yuan; Deng Ding; Weiguo Lu; Fengyan Wu (Comput. Appl. Math., 2024)

An effective one-iteration learning algorithm based on Gaussian mixture expansion for densities. - Weiguo Lu; Xuan Wu; Deng Ding; Gangnan Yuan; Jirong Zhuang (Commun. Nonlinear Sci. Numer. Simul., 2025)

Diffusion model conditioning on Gaussian mixture model and negative Gaussian mixture gradient. - Weiguo Lu; Xuan Wu; Deng Ding; Jinqiao Duan; Jirong Zhuang; Gangnan Yuan (Neurocomputing, 2025)

An efficient Gaussian mixture model and its application to neural networks. - Weiguo Lu; Deng Ding; Fengyan Wu; Gangnan Yuan (Knowl. Based Syst., 2025)