- Home
- People
- Associate Investigators
- Tiangang Cui
Dr Tiangang Cui
Lecturer, Associate Investigator
Monash University
Lecturer in the School of Mathematical Sciences at Monash University.
Research Interests:
inverse problems
Markov Chain Monte Carlo
Model Reduction
Uncertainty Quantification
Publications
Book Chapters
Ye, N., Roosta-Khorasani F., Cui T., De Gier J., Praeger C. E., & Tao T.
(2019). Optimization Methods for Inverse Problems.
(Wood, D., Ed.).2017 MATRIX Annals. doi: 10.1007/978-3-030-04161-8_9
Invited talks, refereed proceedings and other conference outputs
Polishchuk, S., De Sterck H., & Cui T.
(2019). Multi-level and Multi-index Monte Carlo Discontinuous Galerkin Methods for Uncertainty Quantification of Nonlinear Hyperbolic Problems.
SIAM Conference on Computational Science and Engineering (CSE19).
Journal Articles
Cui, T., Dolgov S., & Zahm O.
(2021). Conditional Deep Inverse Rosenblatt Transports.
arXiv. arXiv:2106.04170v1.
Cui, T., & Dolgov S.
(2020). Deep Composition of Tensor Trains using Squared Inverse Rosenblatt Transports.
arXiv. arXiv:2007.06968v1,
Bardsley, J., & Cui T.
(2020). Optimization-Based MCMC Methods for Nonlinear Hierarchical Statistical Inverse Problems.
arXiv. arXiv:2002.06358v1,
Bardsley, J., Cui T., Marzouk Y., & Wang Z.
(2019). Scalable optimization-based sampling on function space.
arXiv. arXiv:1903.00870v2.
Cui, T., Detommaso G., & Scheichl R.
(2019). Multilevel Dimension-Independent Likelihood-Informed MCMC for Large-Scale Inverse problems.
arXiv. arXiv:1910.12431v1.
Reboul, C. F., Kiesewetter S., Eager M., Belousoff M., Cui T., De Sterck H., et al.
(2018). Rapid near-atomic resolution single-particle 3D reconstruction with SIMPLE.
Journal of Structural Biology. 204(2), 172 - 181. doi: 10.1016/j.jsb.2018.08.005