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Tiangang Cui
Observed names:
Cui Tiangang,
Cui, T,
Cui, Tiangang,
T Cui,
T. Cui
Institutions:
The University of Sydney,
Cooperative Trials Group for Neuro-Oncology
Observed institutions:
The University of Sydney,
University of Auckland,
National University of Singapore,
Cooperative Trials Group for Neuro-Oncology,
Monash University,
Massachusetts Institute of Technology
show all 6
ORCID:
0000-0002-4840-8545
Observed ORCID:
0000-0002-4840-8545
OpenAlex ID:
A5067931953
Dimension-independent likelihood-informed MCMC
2015
·
Tiangang Cui
, Kody J.H. Law
, et al.
·
Journal of Computational Physics
·
175
PDF
Data-Driven Model Reduction for the Bayesian Solution of Inverse Problems
2014
·
Tiangang Cui
, Youssef M. Marzouk
, et al.
·
154
Data‐driven model reduction for the Bayesian solution of inverse problems
2014
·
Tiangang Cui
, Youssef M. Marzouk
, et al.
·
International Journal for Numerical Methods in Engineering
·
152
PDF
Bayesian calibration of a large‐scale geothermal reservoir model by a new adaptive delayed acceptance Metropolis Hastings algorithm
2011
·
T. Cui
, C. Fox
, et al.
·
Water Resources Research
·
148
Likelihood-informed dimension reduction for nonlinear inverse problems
2014
·
T Cui
, J Martin
, et al.
·
Inverse Problems
·
147
PDF
Multifidelity importance sampling
2015
·
Benjamin Peherstorfer
, Tiangang Cui
, et al.
·
Computer Methods in Applied Mechanics and Engineering
·
129
Certified dimension reduction in nonlinear Bayesian inverse problems
2022
·
Olivier Zahm
, Tiangang Cui
, et al.
·
Mathematics of Computation
·
62
PDF
Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction
2016
·
Tiangang Cui
, Youssef Marzouk
, et al.
·
Journal of Computational Physics
·
53
A Stein variational Newton method
2018
·
Detommaso, Gianluca
, Cui, Tiangang
, et al.
·
arXiv (Cornell University)
·
51
PDF
Bayesian Inverse Problems with $l_1$ Priors: A Randomize-Then-Optimize Approach
2017
·
Zheng Wang
, Johnathan M. Bardsley
, et al.
·
SIAM Journal on Scientific Computing
·
32
PDF
A posteriori stochastic correction of reduced models in delayed‐acceptance MCMC, with application to multiphase subsurface inverse problems
2019
·
Tiangang Cui
, Colin Fox
, et al.
·
International Journal for Numerical Methods in Engineering
·
30
PDF
Optimization Methods for Inverse Problems
2019
·
Nan Ye
, Farbod Roosta-Khorasani
, et al.
·
MATRIX book series
·
30
PDF
Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems
2017
·
Alessio Spantini
, Tiangang Cui
, et al.
·
SIAM Journal on Scientific Computing
·
30
PDF
Extraction of high-resolution structural orientations from digital data: A Bayesian approach
2019
·
Samuel T. Thiele
, Lachlan Grose
, et al.
·
Journal of Structural Geology
·
27
Deep Composition of Tensor-Trains Using Squared Inverse Rosenblatt Transports
2021
·
Tiangang Cui
, Sergey Dolgov
·
Foundations of Computational Mathematics
·
26
PDF
On dimension reduction in Gaussian filters
2016
·
Antti Solonen
, Tiangang Cui
, et al.
·
Inverse Problems
·
24
PDF
A unified performance analysis of likelihood-informed subspace methods
2022
·
Tiangang Cui
, Xin T. Tong
·
Bernoulli
·
19
PDF
Scalable Optimization-Based Sampling on Function Space
2020
·
Johnathan M. Bardsley
, Tiangang Cui
, et al.
·
SIAM Journal on Scientific Computing
·
18
PDF
Data-free likelihood-informed dimension reduction of Bayesian inverse problems
2021
·
Tiangang Cui
, Olivier Zahm
·
Inverse Problems
·
17
PDF
Rapid near-atomic resolution single-particle 3D reconstruction with SIMPLE
2018
·
Cyril F. Reboul
, Simon Kiesewetter
, et al.
·
Journal of Structural Biology
·
17
Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems
2020
·
Cui, Tiangang
, Zahm, Olivier
·
HAL
·
15
Scalable conditional deep inverse Rosenblatt transports using tensor trains and gradient-based dimension reduction
2023
·
Tiangang Cui
, Sergey Dolgov
, et al.
·
Journal of Computational Physics
·
13
Optimal Low-rank Approximations of Bayesian Linear Inverse Problems
2015
·
Alessio Spantini
, Antti Solonen
, et al.
·
SIAM Journal on Scientific Computing
·
13
PDF
Multilevel dimension-independent likelihood-informed MCMC for large-scale inverse problems
2024
·
Tiangang Cui
, Gianluca Detommaso
, et al.
·
Inverse Problems
·
12
Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems
2022
·
Tiangang Cui
, Xin T. Tong
, et al.
·
Inverse Problems
·
10
PDF
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Works count:
81
Citation count:
1,518
H-index:
18
I10-index:
25
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