Tiangang Cui

School of Mathematics, Monash University.

Office 328

9 Rainforest Walk

Monash University, Vic 3800

Research: Google Scholar, ORCID, GitHub

computational mathematics, machine learning, inverse problems, numerical analysis, geophysics, and scientific computing

Brief Biography:

  • 2020–present: Senior Lecturer, School of Mathematics, Monash University
  • 2016–2020: Lecturer, School of Mathematics, Monash University
  • 2015–2016: Senior Research Engineer, ExxonMobil Upstream Research Company
  • 2012–2015: Postdoc Associate, Aerospace Computational Design Laboratory (ACDL), Massachusetts Institute of Technology

Contact: firstname(dot)lastname(at)monash(dot)edu

news

Nov 24, 2020 A long announcement with details
Nov 24, 2020 A new website

selected preprints and publications

  1. arxiv
    Deep Composition of Tensor Trains using Squared Inverse Rosenblatt Transports
    Cui, Tiangang, and Dolgov, Sergey
    2020 arXiv
  2. NIPS
    A Stein variational Newton method
    Detommaso, Gianluca, Cui, Tiangang, Marzouk, Youssef, Spantini, Alessio, and Scheichl, Robert
    In Advances in Neural Information Processing Systems 9169–9179 2018 arXiv
  3. JCP
    Dimension-independent likelihood-informed MCMC
    Cui, Tiangang, Law, Kody JH, and Marzouk, Youssef M
    Journal of Computational Physics 304, 109–137 2016 DOI arXiv
  4. JCP
    Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction
    Cui, Tiangang, Marzouk, Youssef M, and Willcox, Karen E
    Journal of Computational Physics 315, 363–387 2016 DOI arXiv
  5. IP
    Likelihood-informed dimension reduction for nonlinear inverse problems
    Cui, Tiangang, Martin, James, Marzouk, Youssef M, Solonen, Antti, and Spantini, Alessio
    Inverse Problems 30, 114015 2014 DOI arXiv
  6. WRR
    Bayesian calibration of a large-scale geothermal reservoir model by a new adaptive delayed acceptance Metropolis Hastings algorithm
    Cui, T, Fox, C, and O’sullivan, MJ
    Water Resources Research 47, 2011 DOI