CHUCHU
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Chuchu Chen (陈楚楚)


Associated Professor
State Key Laboratory of Scientific and Engineering Computing
Institute of Computational Mathematics and Scientific/Engineering Computing
Academy of Mathematics and Systems Science (AMSS)
Chinese Academy of Sciences (CAS)



Contact Information

Address: No. 55, Zhong Guan Cun East Road, Hai Dian District, Beijing 100190, China
Office: Z320, Lan Bai Building
Phone(O): +86-10-8254-1033
Email: chenchuchu@lsec.cc.ac.cn

Education

2010/09-2015/07, Ph.D. in Computational Mathematics, Academy of Mathematics and Systems Science, CAS, Supervisor: Prof. Jialin Hong

2006/09-2010/07, B.S. in Applied Mathematics, Hohai University

Employment

2021/04-Now, Associated Professor, Institute of Computational Mathematics and Scientific/Engineering Computing, AMSS, CAS

2017/09-2021/03, Assistant Professor, Institute of Computational Mathematics and Scientific/Engineering Computing, AMSS, CAS

2016/06-2017/08, Postdoc, Department of Mathematics, Michigan State University

2015/08-2016/06, Postdoc, Department of Mathematics, Purdue University

Teaching

Spring Semester, 2017, Math 132, Calculus, Michigan State University

Publications

-Published-

  1. (with T. Dang, J. Hong and T. Zhou) CLT for approximating ergodic limit of SPDEs via a full discretization. Stochastic Process. Appl. 157 (2023) 1–41. [pdf]
  2. (with Y. Zhang) Stochastic asymptotical regularization for linear inverse problems. Inverse Problems 39 (2023), no. 1, Paper No. 015007, 33 pp. [pdf]
  3. (with J. Cui, J. Hong and D. Sheng) Accelerated exponential Euler scheme for stochastic heat equation: convergence rate of densities. IMA J. Numer. Anal., https://doi.org/10.1093/imanum/drac011. [pdf]
  4. (with J. Hong, D. Jin and L. Sun) Large deviations principles for symplectic discretizations of stochastic linear Schrödinger equation. Potential Anal., https://doi.org/10.1007/s11118-022-09990-z. [pdf]
  5. (with J. Hong and Y. Lu) Stochastic differential equation with piecewise continuous arguments: Markov property, invariant measure and numerical approximation. Discrete Contin. Dyn. Syst. Ser. B 28 (2023), no. 1, 765–807. [pdf]
  6. (with T. Dang and J. Hong) Weak intermittency of stochastic heat equation under discretizations. J. Differential Equations 333 (2022), 268–301. [pdf]
  7. (with J. Hong and D. Sheng) Influence of numerical discretizations on hitting probabilities for linear stochastic parabolic systems. J. Complexity 70 (2022), Paper No. 101634, 29 pp. [pdf]
  8. A symplectic discontinuous Galerkin full discretization for stochastic Maxwell equations. SIAM J. Numer. Anal. 59 (2021), no. 4, 2197–2217. [pdf]
  9. (with J. Hong, D. Jin and L. Sun) Asymptotically-preserving large deviations principles by stochastic symplectic methods for a linear stochastic oscillator. SIAM J. Numer. Anal. 59 (2021), no. 1, 32–59. [pdf]
  10. (with J. Hong and D. Jin) Modified averaged vector field methods preserving multiple invariants for conservative stochastic differential equations. BIT 60 (2020), no. 4, 917–957. [pdf]
  11. (with J. Hong, C. Sim and K. Sonwu) Energy and quadratic invariants preserving (EQUIP) multi-symplectic methods for Hamiltonian wave equations. J. Comput. Phys. 418 (2020), 109599, 18 pp. [pdf]
  12. (with D. Cohen, R. D’Ambrosio and A. Lang) Drift-preserving numerical integrators for stochastic Hamiltonian systems. Adv. Comput. Math. 46 (2020), no. 2, Paper No. 27, 22 pp. [pdf]
  13. (with L. Zhang, J. Hong and L. Ji) A review on stochastic multi-symplectic methods for stochastic Maxwell equations. Commun. Appl. Math. Comput. 1 (2019), no. 3, 467–501. [pdf]
  14. (with J. Hong and L. Ji) Mean-square convergence of a semidiscrete scheme for stochastic Maxwell equations. SIAM J. Numer. Anal. 57 (2019), no. 2, 728–750. [pdf]
  15. (with J. Hong and L. Ji) Runge-Kutta semidiscretizations for stochastic Maxwell equations with additive noise. SIAM J. Numer. Anal. 57 (2019), no. 2, 702–727. [pdf]
  16. (with D. Liu) Ergodic approximation to chemical reaction system with delay. SIAM J. Numer. Anal. 57 (2019), no. 1, 70–95. [pdf]
  17. (with M. Li and P. Li) Inverse random source scattering for the Helmholtz equation in inhomogeneous media. Inverse Problems 34 (2018), no. 1, 015003, 19 pp. [pdf]
  18. (with D. Liu) Error analysis for D-leaping scheme of chemical reaction system with delay. Multiscale Model. Simul. 15 (2017), no. 4, 1797–1829. [pdf]
  19. (with G. Bao and P. Li) Inverse random source scattering for elastic waves.SIAM J. Numer. Anal. 55 (2017), no. 6, 2616–2643. [pdf]
  20. (with J. Hong and L. Ji) Mean-square convergence of a symplectic local discontinuous Galerkin method applied to stochastic linear Schrödinger equation. IMA J. Numer. Anal. 37 (2017), no. 2, 1041–1065. [pdf]
  21. (with J. Hong and X. Wang) Approximation of invariant measure for damped stochastic nonlinear Schrödinger equation via an ergodic numerical scheme. Potential Anal. 46 (2017), no. 2,323–367. [pdf]
  22. (with J. Hong, L. Ji and L. Kong) A compact scheme for coupled stochastic nonlinear Schrödinger equations. Commun. Comput. Phys. 21 (2017), no. 1, 93–125. [pdf]
  23. (with G. Bao and P. Li) Inverse random source scattering problems in several dimensions. SIAM/ASA J. Uncertain. Quantif. 4 (2016), no. 1, 1263–1287. [pdf]
  24. (with J. Hong) Symplectic Runge-Kutta semidiscretization for stochastic Schrödinger equation. SIAM J. Numer. Anal. 54 (2016), no. 4, 2569–2593. [pdf]
  25. (with D. Cohen and J. Hong) Conservative methods for stochastic differential equations with a conserved quantity. Int. J. Numer. Anal. Model. 13 (2016), no. 3, 435–456. [pdf]
  26. (with J. Hong and A. Prohl) Convergence of a θ-scheme to solve the stochastic nonlinear Schrödinger equation with Stratonovich noise. Stoch. Partial Differ. Equ. Anal. Comput. 4 (2016), no. 2, 274–318. [pdf]
  27. (with J. Hong and L. Zhang) Preservation of physical properties of stochastic Maxwell equations with additive noise via stochastic multi-symplectic methods. J. Comput. Phys. 306 (2016), 500–519. [pdf]
  28. (with J. Hong) Mean-square convergence of numerical approximations for a class of backward stochastic differential equations. Discrete Contin. Dyn. Syst. Ser. B 18 (2013), no. 8, 2051–2067. [pdf]

-Preprints-

  1. (with T. Dang and J. Hong) An adaptive time-stepping fully discrete scheme for stochastic NLS equation: Strong convergence and numerical asymptotics, arXiv:2212.01988.
  2. (with J. Hong, L. Ji and G. Liang) Ergodic numerical approximations for stochastic Maxwell equations, arXiv:2210.06092.
  3. (with T. Dang and J. Hong) An adaptive time-stepping full discretization for stochastic Allen--Cahn equation, arXiv:2108.01909.
  4. (with Z. Chen, J. Hong and D. Jin) Large deviations principles of sample paths and invariant measures of numerical methods for parabolic SPDEs, arXiv:2106.11018.
  5. (with J. Hong and L. Ji) A new efficient operator splitting method for stochastic Maxwell equations, arXiv:2102.10547.
  6. (with J. Hong and C. Huang) Stochastic modified equations for symplectic methods applied to rough Hamiltonian systems based on the Wong--Zakai approximation, arXiv:1907.02825.

Conferences

-Organized-

  • 19 Aug.-24 Aug., 2022, Seminar on Numerical Methods for SPDEs, Shandong Technology and Business University, Yantai (with Prof. Jialin Hong (AMSS, CAS), Prof. Jianhua Huang (National University of Defense Technology), Prof. Xiliang Li (Shandong Technology and Business University), Prof. Liying Zhang (China University of Mining and Technology) and Prof. Xu Wang (AMSS, CAS))
  • 13 Oct.-17 Oct., 2021, Seminar on Numerical Methods for SPDEs, Guangxi Normal University, Guilin (with Prof. Jialin Hong (AMSS, CAS), Prof. Jianhua Huang (National University of Defense Technology), Prof. Hongfu Yang (Guangxi Normal University))
  • 9 April-11 April, 2021, Online workshop on structure-preserving methods for SPDEs, Beijing (with Prof. Lihai Ji (Institute of Applied Physics and Computational Mathematics), Prof. Liying Zhang (China University of Mining and Technology) and Dr. Liying Sun (AMSS, CAS))
  • 10 Aug.-15 Sep., 2019, Theme Event on Stochastic Computing, including 4 courses of lectures and 3 workshops, Tianyuan Mathematical Center in Northeast China, Changchun (with Prof. Yanzao Cao (Auburn University) and Prof. Jialin Hong (AMSS, CAS))
  • 11-16, Oct., 2018, Forum on Numerical Methods of SPDEs, AMSS, CAS, Beijing (with Prof. Jialin Hong (AMSS, CAS))
  • 21-24, Jun., 2018, Seminar on Hot Topics in Stochastic Computing, Tianyuan Mathematical Center in Northeast China, Changchun (with Prof. Yanzao Cao (Auburn University) and Prof. Jialin Hong (AMSS, CAS))
  • 6-10, Nov., 2017, Forum on Numerical Analysis for SDEs and SPDEs, AMSS, CAS, Beijing (with Prof. Jialin Hong (AMSS, CAS))

    -Attended-

  • 19 Aug.-24 Aug., 2022, Seminar on Numerical Methods for SPDEs, Shandong Technology and Business University, Yantai
  • 13 Oct.-17 Oct., 2021, Seminar on Numerical Methods for SPDEs, Guangxi Normal University, Guilin
  • 25 July-28 July, 2021, The 10th conference on finite element methods, Xinjiang University, Urumchi
  • 9 April-11 April, 2021, Online workshop on structure-preserving methods for SPDEs, Beijing
  • 9 Sep., 2020, One World Virtual Seminar Series -- Stochastic Numerics and Inverse Problems, ICMS, Edinburgh
  • 26-28, Aug., 2020, Youth Forum on Computational Mathematics, Nankai University, Tianjin
  • 19 May, 2020, Mini-Web-Workshop on Stochastic Analysis and Computation, Northeast Normal University, Jilin
  • 14-15, Sep., 2019, Forum on Numerical Approximations for Stochastic Partial Differential Equations, Tianyuan Mathematical Center in Northeast China, Changchun
  • 6-10, Jul., 2019, The 7th IMS-China International Conference on Statistics and Probability, Dalian
  • 30 Jun.-3 Jul., 2019, The 6th International Conference on Random Dynamical Systems, Shanghai
  • 24-25, Nov., 2018, Seminar on Numerical Methods of Stochastic Partial Differential Equations, AMSS, CAS, Beijing
  • 21-24, Jun., 2018, Seminar on Hot Topics in Stochastic Computing, Tianyuan Mathematical Center in Northeast China, Changchun
  • 10-16, Jun., 2018, The 40th Stochastic Processes and Their Applications Conference, Gothenburg, Sweden
  • 16-17, Mar., 2018, Youth Forum on Computing Methods for Application Driven Problem, Institute of Applied Physics and Computational Mathematics, Beijing
  • 6-10, Nov., 2017, Forum on Numerical Analysis for SDEs and SPDEs, AMSS, CAS, Beijing
  • 20-22, Oct., 2017, Efficiency Numerical Methods for Stochastic Hamiltonian Partial Differential Equations, Central South University, Changsha
  • 20-26, Mar., 2016, Workshop on Geometric Numerical Integration, Oberwolfach, Germany
  • Sep., 2014, Kyoto Conference on Numerical Analysis and Differential Equations, Kyoto, Japan
  • Oct., 2013, International Workshop on Numerical Methods of Stochastic Differential Equations, AMSS, CAS, Beijing
  • Sep., 2013, International Conference on Scientific Computation and Differential Equations, Valladolid, Spain
  • Jul., 2013, New Developments in Stochastic Analysis: Probability and PDE, Interactions, AMSS, CAS, Beijing

    • Grants

  • Jan. 2021-Dec. 2023, Numerical methods for stochastic partial differential equations, NSFC, No.12022118, (PI)
  • Dec. 2020-Nov. 2025, The National key R&D program of China, No. 2020YFA0713701, (Co-PI)
  • Jan. 2019-Dec. 2022, The research on structure-preserving methods for two types of stochastic Hamiltonian partial differential equations, NSFC, No.11871068, (PI)
  • Jan. 2021-Dec. 2025, Structure-preserving algorithms of stochastic Hamiltonian partial differential equations, NSFC, No.12031020, (Co-PI)
  • Jan. 2020-Dec. 2023, Stochastic symplectic numerical methods---construction and analysis, NSFC, No.11971470, (Co-PI)

    • Awards

  • 2021, Member of Youth Innovation Promotion Association, by CAS
  • 2020, Chen Jingrun Future Star, by AMSS
  • 2020, Outstanding Youth Science Foundation, by NSFC
  • 2019, Scientific Research Achievement, by AMSS, CAS
  • 2014, Presidential Scholarship (Special Prize), by AMSS, CAS
  • 2014, National Scholarship for graduate students
  • 2013, The 12th Outstanding Science and Technology Papers for Young Scholars in Beijing (Second Prize)