Hongqiao Wang

Hongqiao Wang
Central South University | CSU · School of Mathematics and Statistics

Doctor of Philosophy

About

11
Publications
908
Reads
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69
Citations
Introduction
My research interests include Uncertainty Quantification, Bayesian inference, Optimal Design, Active learning.
Additional affiliations
December 2019 - present
Central South University
Position
  • Lecturer
October 2018 - October 2019
City University of Hong Kong
Position
  • PostDoc Position
Education
September 2014 - June 2018
Shanghai Jiao Tong University
Field of study
  • Mathematics
September 2011 - June 2014
Chinese Academy of Sciences
Field of study
  • Optical Engineering
September 2007 - June 2011
Lanzhou University
Field of study
  • Physics

Publications

Publications (11)
Preprint
The transition state (TS) calculation is a grand challenge for computational intensive energy function. The traditional methods need to evaluate the gradients of the energy function at a very large number of locations. To reduce the number of expensive computations of the true gradients, we propose an active learning framework consisting of a stati...
Preprint
In this work we consider Bayesian inference problems with intractable likelihood functions. We present a method to compute an approximate of the posterior with a limited number of model simulations. The method features an inverse Gaussian Process regression (IGPR), i.e., one from the output of a simulation model to the input of it. Within the metho...
Preprint
Full-text available
Differential Equation (DE) is a commonly used modeling method in various scientific subjects such as finance and biology. The parameters in DE models often have interesting scientific interpretations, but their values are often unknown and need to be estimated from the measurements of the DE. In this work, we propose a Bayesian inference framework...
Preprint
Full-text available
The performance of Hamiltonian Monte Carlo (HMC) sampler depends critically on some algorithm parameters such as the integration time. One approach to tune these parameters is to optimize them with respect to certain prescribed design criterion or performance measure. We propose a conditional entropy based design criterion to optimize the integrati...
Article
Full-text available
We consider Bayesian inference problems with computationally intensive likelihood functions. We propose a Gaussian process (GP) based method to approximate the joint distribution of the unknown parameters and the data. In particular, we write the joint density approximately as a product of an approximate posterior density and an exponentiated GP su...
Article
An important task of uncertainty quantification is to identify {the probability of} undesired events, in particular, system failures, caused by various sources of uncertainties. In this work we consider the construction of Gaussian {process} surrogates for failure detection and failure probability estimation. In particular, we consider the situatio...
Conference Paper
Active support system is a low-frequency wavefront error correction system, which is often used to correct the mirror deformation resulting from gravity, temperature, wind load, manufacture, installation and other factors. In addition, the active support technology can improve the efficiency of grinding and polishing by adjusting the surface shape...
Conference Paper
The active support technique can be applied in the fabrication of large thin meniscus mirror. It can reduce the grinding and polishing difficulty for thin mirror. Compare between two kinds of influence function, we correct the Zernike 5th, 6th, 10th and 11th mode deformation. The low-order Zernike modes which are prone to appearing during large pri...
Article
Full-text available
The actuator influence functions of a thin meniscus mirror can be expanded in Zernike polynomials. And the correctness of influence functions has a great effect on solving the correction forces. The Zernike coefficients are applied as parameters in the all-floating support system. We analyze the main interferential factors when different deformatio...

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