Jinqiao Duan

According to our database, Jinqiao Duan authored at least 78 papers between 1999 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

2024

Euler-Maruyama Method Based Channel Prediction: An LDE-Net Implementation and Field Evaluation.

Tianci Wang, Xianling Wang, Yi Shi, Wenbo Xin, Zhiyuan Jiang, Ting Gao, Jinqiao Duan

IEEE Trans. Veh. Technol., August, 2024

Modulation Analysis of the Stochastic Camassa-Holm Equation with Pure Jump Noise.

Yong Chen, Jinqiao Duan, Hongjun Gao, Xingyu Guo

J. Nonlinear Sci., June, 2024

Small-Noise-Induced Metastable Transition of Periodically Perturbed Systems.

Ying Chao, Jinqiao Duan, Pingyuan Wei

SIAM J. Appl. Dyn. Syst., March, 2024

Symplectic numerical integration for Hamiltonian stochastic differential equations with multiplicative Lévy noise in the sense of Marcus.

Qingyi Zhan, Jinqiao Duan, Xiaofan Li, Yuhong Li

Math. Comput. Simul., January, 2024

Multi-task meta label correction for time series prediction.

Luxuan Yang, Ting Gao, Wei Wei, Min Dai, Cheng Fang, Jinqiao Duan

Pattern Recognit., 2024

An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas.

Yang Li, Shengyuan Xu, Jinqiao Duan

CoRR, 2024

Stochastic parameter reduced-order model based on hybrid machine learning approaches.

Cheng Fang, Jinqiao Duan

CoRR, 2024

Analysis for a class of stochastic fractional nonlinear Schrödinger equations.

Yanjie Zhang, Ao Zhang, Pengde Wang, Xiao Wang, Jinqiao Duan

CoRR, 2024

2023

Homogenization of Dissipative Hamiltonian Systems Under Lévy Fluctuations.

Zibo Wang, Li Lv, Jinqiao Duan

J. Nonlinear Sci., 2023

Early Warning via tipping-preserving latent stochastic dynamical system and meta label correcting.

Peng Zhang, Ting Gao, Jin Guo, Jinqiao Duan

CoRR, 2023

Efficient Privacy-Preserving Convolutional Spiking Neural Networks with FHE.

Pengbo Li, Huifang Huang, Ting Gao, Jin Guo, Jinqiao Duan

CoRR, 2023

Early warning via transitions in latent stochastic dynamical systems.

Lingyu Feng, Ting Gao, Xiao Wang, Jinqiao Duan

CoRR, 2023

Privacy-Preserving Discretized Spiking Neural Networks.

Pengbo Li, Ting Gao, Huifang Huang, Jiani Cheng, Shuhong Gao, Zhigang Zeng, Jinqiao Duan

CoRR, 2023

Learning Stochastic Dynamical Systems as an Implicit Regularization with Graph Neural Networks.

Jin Guo, Ting Gao, Yufu Lan, Peng Zhang, Sikun Yang, Jinqiao Duan

CoRR, 2023

Meta contrastive label correction for financial time series.

Luxuan Yang, Ting Gao, Min Dai, Yubin Lu, Wei Wei, Cheng Fang, Yufu Lan, Jinqiao Duan

CoRR, 2023

Analysis of multiscale methods for stochastic dynamical systems driven by α-stable processes.

Yanjie Zhang, Xiao Wang, Zibo Wang, Jinqiao Duan

Appl. Math. Lett., 2023

2022

Numerical integration of stochastic contact Hamiltonian systems via stochastic Herglotz variational principle.

Qingyi Zhan, Jinqiao Duan, Xiaofan Li, Yuhong Li

CoRR, 2022

Auto-SDE: Learning effective reduced dynamics from data-driven stochastic dynamical systems.

Lingyu Feng, Ting Gao, Min Dai, Jinqiao Duan

CoRR, 2022

An Optimal Control Method to Compute the Most Likely Transition Path for Stochastic Dynamical Systems with Jumps.

Wei Wei, Xiaoli Chen, Ting Gao, Jinqiao Duan

CoRR, 2022

An end-to-end deep learning approach for extracting stochastic dynamical systems with α-stable Lévy noise.

Cheng Fang, Yubin Lu, Ting Gao, Jinqiao Duan

CoRR, 2022

2021

Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker-Planck Equation and Physics-Informed Neural Networks.

Xiaoli Chen, Liu Yang, Jinqiao Duan, George Em Karniadakis

SIAM J. Sci. Comput., 2021

Time Series Forecasting with Ensembled Stochastic Differential Equations Driven by Lévy Noise.

Luxuan Yang, Ting Gao, Yubin Lu, Jinqiao Duan, Tao Liu

CoRR, 2021

Data-driven method to learn the most probable transition pathway and stochastic differential equations.

Jianyu Hu, Dongfang Li, Jinqiao Duan, Xiaoli Chen

CoRR, 2021

The Most Likely Transition Path for a Class of Distribution-Dependent Stochastic Systems.

Wei Wei, Jianyu Hu, Jinqiao Duan

CoRR, 2021

Most Probable Transitions from Metastable to Oscillatory Regimes in a Carbon Cycle System.

Wei Wei, Jianyu Hu, Jianyu Chen, Jinqiao Duan

CoRR, 2021

Extracting stochastic dynamical systems with $α$-stable Lévy noise from data.

Yang Li, Yubin Lu, Shengyuan Xu, Jinqiao Duan

CoRR, 2021

Total value adjustment of Bermudan option valuation under pure jump Lévy fluctuations.

Gangnan Yuan, Ding Deng, Jinqiao Duan, Weiguo Lu, Fengyan Wu

CoRR, 2021

Learning the temporal evolution of multivariate densities via normalizing flows.

Yubin Lu, Romit Maulik, Ting Gao, Felix Dietrich, Ioannis G. Kevrekidis, Jinqiao Duan

CoRR, 2021

Quantifying model uncertainty for the observed non-Gaussian data by the Hellinger distance.

Yayun Zheng, Fang Yang, Jinqiao Duan, Jürgen Kurths

Commun. Nonlinear Sci. Numer. Simul., 2021

Maximum likelihood estimation of stochastic differential equations with random effects driven by fractional Brownian motion.

Min Dai, Jinqiao Duan, Junjun Liao, Xiangjun Wang

Appl. Math. Comput., 2021

2020

Bifurcation in Mean Phase Portraits for Stochastic Dynamical Systems with Multiplicative Gaussian Noise.

Hui Wang, Athanasios Tsiairis, Jinqiao Duan

Int. J. Bifurc. Chaos, 2020

Symplectic method for Hamiltonian stochastic differential equations with multiplicative Lévy noise in the sense of Marcus.

Qingyi Zhan, Jinqiao Duan, Xiaofan Li, Yuhong Li

CoRR, 2020

Symplectic Euler scheme for Hamiltonian stochastic differential equations driven by Levy noise.

Qingyi Zhan, Jinqiao Duan, Xiaofan Li

CoRR, 2020

Extracting Non-Gaussian Governing Laws from Data on Mean Exit Time.

Yanxia Zhang, Jinqiao Duan, Yanfei Jin, Yang Li

CoRR, 2020

A Data-Driven Approach for Discovering Stochastic Dynamical Systems with Non-Gaussian Levy Noise.

Yang Li, Jinqiao Duan

CoRR, 2020

Identifying stochastic governing equations from data of the most probable transition trajectories.

Jian Ren, Jinqiao Duan

CoRR, 2020

Mean escape time for randomly switching narrow gates in a steady flow.

Hui Wang, Jinqiao Duan, Xianguo Geng, Ying Chao

Comput. Math. Appl., 2020

Mean exit time for stochastic dynamical systems driven by tempered stable Lévy fluctuations.

Yanjie Zhang, Xiao Wang, Jinqiao Duan

Appl. Math. Lett., 2020

Recurrent Solutions of a Nonautonomous Modified Swift-Hohenberg Equation.

Jintao Wang, Lu Yang, Jinqiao Duan

Appl. Math. Comput., 2020

Transitions between metastable states in a simplified model for the thermohaline circulation under random fluctuations.

Daniel Tesfay, Pingyuan Wei, Yayun Zheng, Jinqiao Duan, Jürgen Kurths

Appl. Math. Comput., 2020

2019

Learning and Meta-Learning of Stochastic Advection-Diffusion-Reaction Systems from Sparse Measurements.

Xiaoli Chen, Jinqiao Duan, George Em Karniadakis

CoRR, 2019

Stochastic nonlocal conservation laws on whole space.

Guangying Lv, Jinqiao Duan, Hongjun Gao

Comput. Math. Appl., 2019

A parameter estimator based on Smoluchowski-Kramers approximation.

Ziying He, Jinqiao Duan, Xiujun Cheng

Appl. Math. Lett., 2019

A novel compact ADI scheme for two-dimensional Riesz space fractional nonlinear reaction-diffusion equations.

Xiujun Cheng, Jinqiao Duan, Dongfang Li

Appl. Math. Comput., 2019

Most probable dynamics of a genetic regulatory network under stable Lévy noise.

Xiaoli Chen, Fengyan Wu, Jinqiao Duan, Jürgen Kurths, Xiaofan Li

Appl. Math. Comput., 2019

Fokker-Planck equation driven by asymmetric Lévy motion.

Xiao Wang, Wenpeng Shang, Xiaofan Li, Jinqiao Duan, Yanghong Huang

Adv. Comput. Math., 2019

2018

Kinetic Solutions for Nonlocal Scalar Conservation Laws.

Jinlong Wei, Jinqiao Duan, Guangying Lv

SIAM J. Math. Anal., 2018

A Stochastic Pitchfork Bifurcation in Most Probable Phase Portraits.

Hui Wang, Xiaoli Chen, Jinqiao Duan

Int. J. Bifurc. Chaos, 2018

A two-level linearized compact ADI scheme for two-dimensional nonlinear reaction-diffusion equations.

Fengyan Wu, Xiujun Cheng, Dongfang Li, Jinqiao Duan

Comput. Math. Appl., 2018

Linearized compact ADI schemes for nonlinear time-fractional Schrödinger equations.

Xiaoli Chen, Yana Di, Jinqiao Duan, Dongfang Li

Appl. Math. Lett., 2018

Stability and convergence of compact finite difference method for parabolic problems with delay.

Fengyan Wu, Dongfang Li, Jinming Wen, Jinqiao Duan

Appl. Math. Comput., 2018

Numerical algorithms for mean exit time and escape probability of stochastic systems with asymmetric Lévy motion.

Xiao Wang, Jinqiao Duan, Xiaofan Li, Renming Song

Appl. Math. Comput., 2018

2016

Quantifying model uncertainty in dynamical systems driven by non-Gaussian Lévy stable noise with observations on mean exit time or escape probability.

Ting Gao, Jinqiao Duan

Commun. Nonlinear Sci. Numer. Simul., 2016

Most probable dynamics of some nonlinear systems under noisy fluctuations.

Zhuan Cheng, Jinqiao Duan, Liang Wang

Commun. Nonlinear Sci. Numer. Simul., 2016

Smooth solution of a nonlocal Fokker-Planck equation associated with stochastic systems with Lévy noise.

Ming Wang, Jinqiao Duan

Appl. Math. Lett., 2016

Approximation representation of parameterizing manifold and non-Markovian reduced systems for a stochastic Swift-Hohenberg equation.

Yanfeng Guo, Jinqiao Duan

Appl. Math. Lett., 2016

Fokker-Planck equations for stochastic dynamical systems with symmetric Lévy motions.

Ting Gao, Jinqiao Duan, Xiaofan Li

Appl. Math. Comput., 2016

2015

A nonlocal Fokker-Planck equation for non-Gaussian stochastic dynamical systems.

Jinchun He, Jinqiao Duan, Hongjun Gao

Appl. Math. Lett., 2015

Numerical methods for the mean exit time and escape probability of two-dimensional stochastic dynamical systems with non-Gaussian noises.

Xiao Wang, Jinqiao Duan, Xiaofan Li, Yuanchao Luan

Appl. Math. Comput., 2015

2014

Mean Exit Time and Escape Probability for Dynamical Systems Driven by Lévy Noises.

Ting Gao, Jinqiao Duan, Xiaofan Li, Renming Song

SIAM J. Sci. Comput., 2014

2013

Approximating Dynamics of a Singularly Perturbed Stochastic Wave Equation with a Random Dynamical Boundary Condition.

Guanggan Chen, Jinqiao Duan, Jian Zhang

SIAM J. Math. Anal., 2013

Simulating Stochastic Inertial Manifolds by a Backward-Forward Approach.

Xingye Kan, Jinqiao Duan, Ioannis G. Kevrekidis, Anthony J. Roberts

SIAM J. Appl. Dyn. Syst., 2013

State estimation under non-Gaussian Levy noise: A modified Kalman filtering method

Xu Sun, Jinqiao Duan, Xiaofan Li, Xiangjun Wang

CoRR, 2013

2012

Upper semicontinuity of Global attractors for 2D Navier-Stokes equations.

Caidi Zhao, Jinqiao Duan

Int. J. Bifurc. Chaos, 2012

Mean Exit Time and Escape Probability for a Tumor Growth System under Non-Gaussian noise.

Jian Ren, Chujin Li, Ting Gao, Xingye Kan, Jinqiao Duan

Int. J. Bifurc. Chaos, 2012

2011

A Taylor expansion approach for solving partial differential equations with random Neumann boundary conditions.

Shengqiang Xu, Jinqiao Duan

Appl. Math. Comput., 2011

A computational analysis for mean exit time under non-Gaussian Lévy noises.

Huiqin Chen, Jinqiao Duan, Xiaofan Li, Chengjian Zhang

Appl. Math. Comput., 2011

2010

Bridging the Boussinesq and primitive equations through spatio-temporal filtering.

Jinqiao Duan, Paul F. Fischer, Traian Iliescu, Tamay M. Özgökmen

Appl. Math. Lett., 2010

2007

Uniform Attractors for Nonautonomous Wave Equations with Nonlinear Damping.

Chunyou Sun, Daomin Cao, Jinqiao Duan

SIAM J. Appl. Dyn. Syst., 2007

2006

Effective Macroscopic Dynamics of Stochastic Partial Differential Equations in Perforated Domains.

Wei Wang, Daomin Cao, Jinqiao Duan

SIAM J. Math. Anal., 2006

2002

Time-periodically forced amplitude evolution in spatially extended nonlinear systems.

Jinqiao Duan, Xin-Chu Fu

Appl. Math. Comput., 2002

2001

The effect of changing the Coriolis force gradient parameter on the escape probability and mean residence time.

David Szurley, Jinqiao Duan

Appl. Math. Comput., 2001

2000

Chaotic Properties of Subshifts Generated by a Nonperiodic Recurrent Orbit.

Xin-Chu Fu, Yibin Fu, Jinqiao Duan, Robert S. MacKay

Int. J. Bifurc. Chaos, 2000

On nonlinear amplitude evolution under stochastic forcing.

Jinqiao Duan, Vincent J. Ervin

Appl. Math. Comput., 2000

Probabilistic structural dynamics of protein folding.

Jinqiao Duan

Appl. Math. Comput., 2000

1999

A remark on the three dimensional baroclinic quasi-geostrophic dynamics.

Jinqiao Duan

Appl. Math. Comput., 1999

Time-periodic quasigeostrophic motion under dissipation and forcing.

Jinqiao Duan

Appl. Math. Comput., 1999