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ORCIDChuchu Chen
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2020 – today
- 2024
[c13]Yuxiang Peng, Chuchu Chen, Guoquan Huang:
Ultrafast Square-Root Filter-based VINS. ICRA 2024: 6966-6972- [c12]Woosik Lee, Chuchu Chen, Guoquan Huang:
Degenerate Motions of Multisensor Fusion-based Navigation. ICRA 2024: 8113-8119 - [c11]Saimouli Katragadda, Woosik Lee, Yuxiang Peng, Patrick Geneva, Chuchu Chen, Chao Guo, Mingyang Li, Guoquan Huang:
NeRF-VINS: A Real-time Neural Radiance Field Map-based Visual-Inertial Navigation System. ICRA 2024: 10230-10237 - [c10]Chuchu Chen, Yuxiang Peng, Guoquan Huang:
Fast and Consistent Covariance Recovery for Sliding-window Optimization-based VINS. ICRA 2024: 13724-13731 - [c9]Yuxiang Peng, Chuchu Chen, Guoquan Huang:
Quantized Visual-Inertial Odometry. ICRA 2024: 17954-17960 - [i26]Meng Cai, Chuchu Chen, Jialin Hong, Tau Zhou:
Long-time dynamics of stochastic wave equation with dissipative damping and its full discretization: exponential ergodicity and strong law of large numbers. CoRR abs/2402.01137 (2024) - [i25]Chuchu Chen, Jialin Hong, Ge Liang:
Long-time weak convergence analysis of a semi-discrete scheme for stochastic Maxwell equations. CoRR abs/2403.09293 (2024) - [i24]Chuchu Chen, Tonghe Dang, Jialin Hong, Guoting Song:
Longtime behaviors of θ-Euler-Maruyama method for stochastic functional differential equations. CoRR abs/2404.08891 (2024) - [i23]Chuchu Chen, Xinyu Chen, Tonghe Dang, Jialin Hong:
Superiority of stochastic symplectic methods via the law of iterated logarithm. CoRR abs/2404.14842 (2024) - [i22]Chuchu Chen, Tonghe Dang, Jialin Hong:
On structure preservation for fully discrete finite difference schemes of stochastic heat equation with Lévy space-time white noise. CoRR abs/2409.14064 (2024) - [i21]Chuchu Chen, Tonghe Dang, Jialin Hong, Fengshan Zhang:
A new class of splitting methods that preserve ergodicity and exponential integrability for stochastic Langevin equation. CoRR abs/2410.20938 (2024) - 2023
- [j16]Cong Wei
, Chuchu Chen, Herbert G. Tanner:
Navigation functions with moving destinations and obstacles. Auton. Robots 47(4): 435-451 (2023) - [c8]Chuchu Chen, Patrick Geneva, Yuxiang Peng, Woosik Lee, Guoquan Huang:
Monocular Visual-Inertial Odometry with Planar Regularities. ICRA 2023: 6224-6231 - [c7]Chuchu Chen, Patrick Geneva, Yuxiang Peng, Woosik Lee, Guoquan Huang:
Optimization-Based VINS: Consistency, Marginalization, and FEJ. IROS 2023: 1517-1524 - [c6]Nathaniel W. Merrill, Patrick Geneva, Saimouli Katragadda, Chuchu Chen, Guoquan Huang:
Fast Monocular Visual-Inertial Initialization Leveraging Learned Single-View Depth. Robotics: Science and Systems 2023 - [i20]Saimouli Katragadda, Woosik Lee, Yuxiang Peng, Patrick Geneva, Chuchu Chen, Chao Guo, Mingyang Li, Guoquan Huang:
NeRF-VINS: A Real-time Neural Radiance Field Map-based Visual-Inertial Navigation System. CoRR abs/2309.09295 (2023) - [i19]Woosik Lee, Patrick Geneva, Chuchu Chen, Guoquan Huang:
MINS: Efficient and Robust Multisensor-aided Inertial Navigation System. CoRR abs/2309.15390 (2023) - [i18]Chuchu Chen, Tonghe Dang, Jialin Hong, Guoting Song:
Probabilistic limit behaviors of numerical discretizations for time-homogeneous Markov processes. CoRR abs/2310.08227 (2023) - 2022
- [j15]Chuchu Chen, Jialin Hong, Derui Sheng:
Influence of numerical discretizations on hitting probabilities for linear stochastic parabolic systems. J. Complex. 70: 101634 (2022) - [j14]Yulin Yang, Chuchu Chen, Woosik Lee, Guoquan P. Huang:
Decoupled Right Invariant Error States for Consistent Visual-Inertial Navigation. IEEE Robotics Autom. Lett. 7(2): 1627-1634 (2022) - [c5]Chuchu Chen, Yulin Yang, Patrick Geneva, Guoquan Huang:
FEJ2: A Consistent Visual-Inertial State Estimator Design. ICRA 2022: 9506-9512 - [c4]Chuchu Chen, Yulin Yang, Patrick Geneva, Woosik Lee, Guoquan Huang:
Visual-Inertial-Aided Online MAV System Identification. IROS 2022: 6277-6284 - [i17]Ye Zhang, Chuchu Chen:
Stochastic asymptotical regularization for linear inverse problems. CoRR abs/2201.09411 (2022) - [i16]Chuchu Chen, Tonghe Dang, Jialin Hong, Tau Zhou:
Central limit theorem for full discretization of parabolic SPDE. CoRR abs/2202.09079 (2022) - [i15]Chuchu Chen, Jialin Hong, Lihai Ji, Ge Liang:
Ergodic numerical approximations for stochastic Maxwell equations. CoRR abs/2210.06092 (2022) - [i14]Chuchu Chen, Tonghe Dang, Jialin Hong:
An adaptive time-stepping fully discrete scheme for stochastic NLS equation: Strong convergence and numerical asymptotics. CoRR abs/2212.01988 (2022) - 2021
- [j13]Chuchu Chen, Jialin Hong, Diancong Jin, Liying Sun:
Asymptotically-Preserving Large Deviations Principles by Stochastic Symplectic Methods for a Linear Stochastic Oscillator. SIAM J. Numer. Anal. 59(1): 32-59 (2021) - [j12]Chuchu Chen:
A Symplectic Discontinuous Galerkin Full Discretization for Stochastic Maxwell Equations. SIAM J. Numer. Anal. 59(4): 2197-2217 (2021) - [i13]Chuchu Chen, Jialin Hong, Lihai Ji:
A new efficient operator splitting method for stochastic Maxwell equations. CoRR abs/2102.10547 (2021) - [i12]Chuchu Chen, Tonghe Dang, Jialin Hong:
Weak intermittency and second moment bound of a fully discrete scheme for stochastic heat equation. CoRR abs/2103.02373 (2021) - [i11]Chuchu Chen, Jialin Hong, Derui Sheng:
Influences of Numerical Discretizations on Hitting Probabilities for Linear Stochastic Parabolic System. CoRR abs/2104.05466 (2021) - [i10]Chuchu Chen, Ziheng Chen, Jialin Hong, Diancong Jin:
Large deviations principles of sample paths and invariant measures of numerical methods for parabolic SPDEs. CoRR abs/2106.11018 (2021) - [i9]Chuchu Chen, Tonghe Dang, Jialin Hong:
An adaptive time-stepping full discretization for stochastic Allen-Cahn equation. CoRR abs/2108.01909 (2021) - 2020
- [j11]Chuchu Chen, David Cohen, Raffaele D'Ambrosio, Annika Lang:
Drift-preserving numerical integrators for stochastic Hamiltonian systems. Adv. Comput. Math. 46(2): 27 (2020) - [j10]Chuchu Chen, Jialin Hong, Chol Sim, Kwang Sonwu:
Energy and quadratic invariants preserving (EQUIP) multi-symplectic methods for Hamiltonian wave equations. J. Comput. Phys. 418: 109599 (2020) - [c3]Chuchu Chen, Caili Li, Herbert G. Tanner:
Navigation Functions with non-Point Destinations and Moving Obstacles. ACC 2020: 2532-2537 - [c2]Yulin Yang, Benzun Pious Wisely Babu, Chuchu Chen, Guoquan Huang, Liu Ren:
Analytic Combined IMU Integration (ACI2) For Visual Inertial Navigation. ICRA 2020: 4680-4686 - [c1]Patrick Geneva, Nathaniel Merrill, Yulin Yang, Chuchu Chen, Woosik Lee, Guoquan Huang:
Versatile 3D Multi-Sensor Fusion for Lightweight 2D Localization. IROS 2020: 4513-4520 - [i8]Chuchu Chen, Jialin Hong, Diancong Jin, Liying Sun:
Large deviations principles for symplectic discretizations of stochastic linear Schrödinger Equation. CoRR abs/2006.01357 (2020) - [i7]Chuchu Chen, Jianbo Cui, Jialin Hong, Derui Sheng:
Convergence of Density Approximations for Stochastic Heat Equation. CoRR abs/2007.12960 (2020) - [i6]Chuchu Chen:
A symplectic discontinuous Galerkin full discretization for stochastic Maxwell equations. CoRR abs/2009.09880 (2020)
2010 – 2019
- 2019
- [j9]Chuchu Chen, Di Liu:
Ergodic Approximation to Chemical Reaction System with Delay. SIAM J. Numer. Anal. 57(1): 70-95 (2019) - [j8]Chuchu Chen, Jialin Hong, Lihai Ji:
Runge-Kutta Semidiscretizations for Stochastic Maxwell Equations with Additive Noise. SIAM J. Numer. Anal. 57(2): 702-727 (2019) - [j7]Chuchu Chen, Jialin Hong, Lihai Ji:
Mean-Square Convergence of a Semidiscrete Scheme for Stochastic Maxwell Equations. SIAM J. Numer. Anal. 57(2): 728-750 (2019) - [i5]Chuchu Chen, Jialin Hong, Diancong Jin, Liying Sun:
The superiority of stochastic symplectic methods for a linear stochastic oscillator via large deviations principles. CoRR abs/1906.03451 (2019) - [i4]Chuchu Chen, Jialin Hong, Yulan Lu:
Approximation of Invariant Measures for Stochastic Differential Equations with Piecewise Continuous Arguments via Backward Euler Method. CoRR abs/1906.04096 (2019) - [i3]Chuchu Chen, Jialin Hong, Chuying Huang:
Stochastic modified equations for symplectic methods applied to rough Hamiltonian systems based on the Wong-Zakai approximation. CoRR abs/1907.02825 (2019) - [i2]Chuchu Chen, David Cohen, Raffaele D'Ambrosio, Annika Lang:
Drift-preserving numerical integrators for stochastic Hamiltonian systems. CoRR abs/1907.08804 (2019) - [i1]Chuchu Chen, Jialin Hong, Chol Sim, Kwang Sonwu:
Energy-preserving multi-symplectic Runge-Kutta methods for Hamiltonian wave equations. CoRR abs/1907.10351 (2019) - 2018
- [j6]Chuchu Chen, Albert N. Link, Zachary T. Oliver:
U.S. federal laboratories and their research partners: a quantitative case study. Scientometrics 115(1): 501-517 (2018) - 2017
- [j5]Chuchu Chen, Di Liu:
Error Analysis for D-Leaping Scheme of Chemical Reaction System with Delay. Multiscale Model. Simul. 15(4): 1797-1829 (2017) - [j4]Gang Bao, Chuchu Chen, Peijun Li:
Inverse Random Source Scattering for Elastic Waves. SIAM J. Numer. Anal. 55(6): 2616-2643 (2017) - 2016
- [j3]Chuchu Chen, Jialin Hong, Liying Zhang:
Preservation of physical properties of stochastic Maxwell equations with additive noise via stochastic multi-symplectic methods. J. Comput. Phys. 306: 500-519 (2016) - [j2]Gang Bao, Chuchu Chen, Peijun Li:
Inverse Random Source Scattering Problems in Several Dimensions. SIAM/ASA J. Uncertain. Quantification 4(1): 1263-1287 (2016) - [j1]Chuchu Chen, Jialin Hong:
Symplectic Runge-Kutta Semidiscretization for Stochastic Schrödinger Equation. SIAM J. Numer. Anal. 54(4): 2569-2593 (2016)
Coauthor Index
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