Chuchu Chen

According to our database, Chuchu Chen authored at least 44 papers between 2016 and 2024.

Collaborative distances:

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

2024

Long-time weak convergence analysis of a semi-discrete scheme for stochastic Maxwell equations.

Chuchu Chen, Jialin Hong, Ge Liang

CoRR, 2024

Long-time dynamics of stochastic wave equation with dissipative damping and its full discretization: exponential ergodicity and strong law of large numbers.

Meng Cai, Chuchu Chen, Jialin Hong, Tau Zhou

CoRR, 2024

2023

Navigation functions with moving destinations and obstacles.

Cong Wei, Chuchu Chen, Herbert G. Tanner

Auton. Robots, April, 2023

Probabilistic limit behaviors of numerical discretizations for time-homogeneous Markov processes.

Chuchu Chen, Tonghe Dang, Jialin Hong, Guoting Song

CoRR, 2023

MINS: Efficient and Robust Multisensor-aided Inertial Navigation System.

Woosik Lee, Patrick Geneva, Chuchu Chen, Guoquan Huang

CoRR, 2023

NeRF-VINS: A Real-time Neural Radiance Field Map-based Visual-Inertial Navigation System.

Saimouli Katragadda, Woosik Lee, Yuxiang Peng, Patrick Geneva, Chuchu Chen, Chao Guo, Mingyang Li, Guoquan Huang

CoRR, 2023

Fast Monocular Visual-Inertial Initialization Leveraging Learned Single-View Depth.

Nathaniel W. Merrill, Patrick Geneva, Saimouli Katragadda, Chuchu Chen, Guoquan Huang

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Optimization-Based VINS: Consistency, Marginalization, and FEJ.

Chuchu Chen, Patrick Geneva, Yuxiang Peng, Woosik Lee, Guoquan Huang

IROS, 2023

Monocular Visual-Inertial Odometry with Planar Regularities.

Chuchu Chen, Patrick Geneva, Yuxiang Peng, Woosik Lee, Guoquan Huang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Decoupled Right Invariant Error States for Consistent Visual-Inertial Navigation.

Yulin Yang, Chuchu Chen, Woosik Lee, Guoquan P. Huang

IEEE Robotics Autom. Lett., 2022

Influence of numerical discretizations on hitting probabilities for linear stochastic parabolic systems.

Chuchu Chen, Jialin Hong, Derui Sheng

J. Complex., 2022

An adaptive time-stepping fully discrete scheme for stochastic NLS equation: Strong convergence and numerical asymptotics.

Chuchu Chen, Tonghe Dang, Jialin Hong

CoRR, 2022

Ergodic numerical approximations for stochastic Maxwell equations.

Chuchu Chen, Jialin Hong, Lihai Ji, Ge Liang

CoRR, 2022

Central limit theorem for full discretization of parabolic SPDE.

Chuchu Chen, Tonghe Dang, Jialin Hong, Tau Zhou

CoRR, 2022

Stochastic asymptotical regularization for linear inverse problems.

Ye Zhang, Chuchu Chen

CoRR, 2022

Visual-Inertial-Aided Online MAV System Identification.

Chuchu Chen, Yulin Yang, Patrick Geneva, Woosik Lee, Guoquan Huang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

FEJ2: A Consistent Visual-Inertial State Estimator Design.

Chuchu Chen, Yulin Yang, Patrick Geneva, Guoquan Huang

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Asymptotically-Preserving Large Deviations Principles by Stochastic Symplectic Methods for a Linear Stochastic Oscillator.

Chuchu Chen, Jialin Hong, Diancong Jin, Liying Sun

SIAM J. Numer. Anal., 2021

A Symplectic Discontinuous Galerkin Full Discretization for Stochastic Maxwell Equations.

Chuchu Chen

SIAM J. Numer. Anal., 2021

An adaptive time-stepping full discretization for stochastic Allen-Cahn equation.

Chuchu Chen, Tonghe Dang, Jialin Hong

CoRR, 2021

Large deviations principles of sample paths and invariant measures of numerical methods for parabolic SPDEs.

Chuchu Chen, Ziheng Chen, Jialin Hong, Diancong Jin

CoRR, 2021

Influences of Numerical Discretizations on Hitting Probabilities for Linear Stochastic Parabolic System.

Chuchu Chen, Jialin Hong, Derui Sheng

CoRR, 2021

Weak intermittency and second moment bound of a fully discrete scheme for stochastic heat equation.

Chuchu Chen, Tonghe Dang, Jialin Hong

CoRR, 2021

A new efficient operator splitting method for stochastic Maxwell equations.

Chuchu Chen, Jialin Hong, Lihai Ji

CoRR, 2021

2020

Energy and quadratic invariants preserving (EQUIP) multi-symplectic methods for Hamiltonian wave equations.

Chuchu Chen, Jialin Hong, Chol Sim, Kwang Sonwu

J. Comput. Phys., 2020

Convergence of Density Approximations for Stochastic Heat Equation.

Chuchu Chen, Jianbo Cui, Jialin Hong, Derui Sheng

CoRR, 2020

Large deviations principles for symplectic discretizations of stochastic linear Schrödinger Equation.

Chuchu Chen, Jialin Hong, Diancong Jin, Liying Sun

CoRR, 2020

Drift-preserving numerical integrators for stochastic Hamiltonian systems.

Chuchu Chen, David Cohen, Raffaele D'Ambrosio, Annika Lang

Adv. Comput. Math., 2020

Versatile 3D Multi-Sensor Fusion for Lightweight 2D Localization.

Patrick Geneva, Nathaniel Merrill, Yulin Yang, Chuchu Chen, Woosik Lee, Guoquan Huang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Analytic Combined IMU Integration (ACI²) For Visual Inertial Navigation.

Yulin Yang, Benzun Pious Wisely Babu, Chuchu Chen, Guoquan Huang, Liu Ren

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Navigation Functions with non-Point Destinations and Moving Obstacles.

Chuchu Chen, Caili Li, Herbert G. Tanner

Proceedings of the 2020 American Control Conference, 2020

2019

Ergodic Approximation to Chemical Reaction System with Delay.

Chuchu Chen, Di Liu

SIAM J. Numer. Anal., 2019

Mean-Square Convergence of a Semidiscrete Scheme for Stochastic Maxwell Equations.

Chuchu Chen, Jialin Hong, Lihai Ji

SIAM J. Numer. Anal., 2019

Runge-Kutta Semidiscretizations for Stochastic Maxwell Equations with Additive Noise.

Chuchu Chen, Jialin Hong, Lihai Ji

SIAM J. Numer. Anal., 2019

Energy-preserving multi-symplectic Runge-Kutta methods for Hamiltonian wave equations.

Chuchu Chen, Jialin Hong, Chol Sim, Kwang Sonwu

CoRR, 2019

Stochastic modified equations for symplectic methods applied to rough Hamiltonian systems based on the Wong-Zakai approximation.

Chuchu Chen, Jialin Hong, Chuying Huang

CoRR, 2019

Approximation of Invariant Measures for Stochastic Differential Equations with Piecewise Continuous Arguments via Backward Euler Method.

Chuchu Chen, Jialin Hong, Yulan Lu

CoRR, 2019

The superiority of stochastic symplectic methods for a linear stochastic oscillator via large deviations principles.

Chuchu Chen, Jialin Hong, Diancong Jin, Liying Sun

CoRR, 2019

2018

U.S. federal laboratories and their research partners: a quantitative case study.

Chuchu Chen, Albert N. Link, Zachary T. Oliver

Scientometrics, 2018

2017

Inverse Random Source Scattering for Elastic Waves.

Gang Bao, Chuchu Chen, Peijun Li

SIAM J. Numer. Anal., 2017

Error Analysis for D-Leaping Scheme of Chemical Reaction System with Delay.

Chuchu Chen, Di Liu

Multiscale Model. Simul., 2017

2016

Symplectic Runge-Kutta Semidiscretization for Stochastic Schrödinger Equation.

Chuchu Chen, Jialin Hong

SIAM J. Numer. Anal., 2016

Inverse Random Source Scattering Problems in Several Dimensions.

Gang Bao, Chuchu Chen, Peijun Li

SIAM/ASA J. Uncertain. Quantification, 2016

Preservation of physical properties of stochastic Maxwell equations with additive noise via stochastic multi-symplectic methods.

Chuchu Chen, Jialin Hong, Liying Zhang

J. Comput. Phys., 2016