Tiangang Cui
researcher ORCID ID = 0000-0002-4840-8545
Facts
10 properties- Instance of
- human
- Occupation
- researcher
- Educated at
- University of Auckland[3]
- Doctoral advisor
- Michael Justin O'Sullivan, Colin Fox, Michael John O'Sullivan[4][5][6]
- Academic degree
- Doctor of Philosophy[8]
- On focus list of Wikimedia project
- NZThesisProject[11]
🏷️ Also known as
en Tiangang Cui
🔖 Identifiers · 7
- ORCID iD
- 0000-0002-4840-8545
- OpenAlex ID
- A5067931953
- DBLP author ID
- 173/4634
- Google Knowledge Graph ID
- /g/11f0ylcwt3
- Google Scholar author ID
- H4x65KoAAAAJ
- Mathematics Genealogy Project ID
- 238847
- Scopus author ID
- 53979610900
🔗 Connections
Author of 9
A posteriori stochastic correction of reduced models in delayed‐acceptance MCMC, with application to multiphase subsurface inverse problems,
A unified performance analysis of likelihood-informed subspace methods,
Data-Driven Model Reduction for the Bayesian Solution of Inverse Problems,
Extraction of high-resolution structural orientations from digital data: A Bayesian approach,
Identification of community structure-based brain states and transitions using functional MRI,
On dimension reduction in Gaussian filters,
Rapid near-atomic resolution single-particle 3D reconstruction with SIMPLE,
Scalable conditional deep inverse Rosenblatt transports using tensor trains and gradient-based dimension reduction
+1 more
← Authored by 9
A posteriori stochastic correction of reduced models in delayed‐acceptance MCMC, with application to multiphase subsurface inverse problems,
A unified performance analysis of likelihood-informed subspace methods,
Data-Driven Model Reduction for the Bayesian Solution of Inverse Problems,
Extraction of high-resolution structural orientations from digital data: A Bayesian approach,
Identification of community structure-based brain states and transitions using functional MRI,
On dimension reduction in Gaussian filters,
Rapid near-atomic resolution single-particle 3D reconstruction with SIMPLE,
Scalable conditional deep inverse Rosenblatt transports using tensor trains and gradient-based dimension reduction
+1 more
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