Jinglai Li

发表

A subset multicanonical Monte Carlo method for simulating rare failure events

Xinjuan Chen, Jinglai Li, Jinglai Li, 2016, J. Comput. Phys..

Gaussian process surrogates for failure detection: A Bayesian experimental design approach

Jinglai Li, Hongqiao Wang, Guang Lin, 2015, J. Comput. Phys..

Nonlocal TV-Gaussian prior for Bayesian inverse problems with applications to limited CT reconstruction

Qingping Zhou, Jinglai Li, Xiaoqun Zhang, 2020, Inverse Problems & Imaging.

Adaptive Construction of Surrogates for the Bayesian Solution of Inverse Problems

Jinglai Li, Youssef M. Marzouk, Y. Marzouk, 2013, SIAM J. Sci. Comput..

Bayesian optimization with local search pdf

Jinglai Li, Yuzhou Gao, Tengchao Yu, 2020, LOD.

Bayesian inference and uncertainty quantification for image reconstruction with Poisson data

Qingping Zhou, Jinglai Li, Xiaoqun Zhang, 2019, 1903.02075.

A Hybrid Adaptive MCMC Algorithm in Function Spaces

Qingping Zhou, Jinglai Li, Zhewei Yao, 2016, SIAM/ASA J. Uncertain. Quantification.

Clustered active-subspace based local Gaussian Process emulator for high-dimensional and complex computer models pdf

Jinglai Li, Xin Cai, Junda Xiong, 2021, ArXiv.

Bayesian Inference and Uncertainty Quantification for Medical Image Reconstruction with Poisson Data

Qingping Zhou, Jinglai Li, Xiaoqun Zhang, 2020, SIAM J. Imaging Sci..

An approximate KLD based experimental design for models with intractable likelihoods

Jinglai Li, Ziqiao Ao, 2020, AISTATS.

Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions

Hongqiao Wang, Jinglai Li, Jinglai Li, 2017, Neural Computation.

A Defensive Marginal Particle Filtering Method for Data Assimilation

Linjun Lu, Jinglai Li, Linjie Wen, 2020, SIAM/ASA J. Uncertain. Quantification.

An efficient surrogate-based method for computing rare failure probability

Jing Li, Dongbin Xiu, Jinglai Li, 2011, J. Comput. Phys..

A derivative-free trust-region algorithm for reliability-based optimization

Jinglai Li, Tian Gao, Jinglai Li, 2015, 1511.02284.

A surrogate accelerated multicanonical Monte Carlo method for uncertainty quantification

Jinglai Li, Keyi Wu, 2016, J. Comput. Phys..

Estimating the reliability of optical fiber communication systems

Jinglai Li, 2007 .

Extracting Solitons from Noisy Pulses

Jinglai Li, William L. Kath, W. Kath, 2012, SIAM J. Appl. Math..

A frozen Gaussian approximation-based multi-level particle swarm optimization for seismic inversion

Xu Yang, Jinglai Li, Guang Lin, 2015, J. Comput. Phys..

On an adaptive preconditioned Crank-Nicolson MCMC algorithm for infinite dimensional Bayesian inference

Jinglai Li, Zhewei Yao, Zixi Hu, 2017, J. Comput. Phys..

A CROSS-ENTROPY METHOD ACCELERATED DERIVATIVE-FREE RBDO ALGORITHM

Jinglai Li, Tian Gao, 2016 .

A Hierarchical Neural Hybrid Method for Failure Probability Estimation

Jinglai Li, Ke Li, Kejun Tang, 2019, IEEE Access.

An adaptive reduced basis ANOVA method for high-dimensional Bayesian inverse problems

Jinglai Li, Qifeng Liao, Jinglai Li, 2018, J. Comput. Phys..

Ensemble Kalman filter based Sequential Monte Carlo Sampler for sequential Bayesian inference

Jinglai Li, Linjie Wen, Jiangqi Wu, 2020 .

An Adaptive Independence Sampler MCMC Algorithm for Bayesian Inferences of Functions

Jinglai Li, Zhe Feng, Jinglai Li, 2018, SIAM J. Sci. Comput..

Increasing the efficiency of Sequential Monte Carlo samplers through the use of approximately optimal L-kernels

Jinglai Li, P. L. Green, Simon Maskell, 2020, 2004.12838.