Jinglai Li, Ph.D.
Affiliations: | 2007 | Mathematics | State University of New York, Buffalo, Buffalo, NY, United States |
Area:
nonlinear waves, complex systemsGoogle:
"Jinglai Li"Mean distance: 26716.5
Parents
Sign in to add mentor| Gino Biondini | grad student | 2007 | SUNY Buffalo | |
| (Estimating the reliability of optical fiber communication systems.) | ||||
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Publications
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| Lv D, Zhou Q, Choi JK, et al. (2020) Nonlocal TV-Gaussian prior for Bayesian inverse problems with applications to limited CT reconstruction Inverse Problems and Imaging. 14: 117-132 |
| Li K, Tang K, Li J, et al. (2019) A Hierarchical Neural Hybrid Method for Failure Probability Estimation Ieee Access. 7: 112087-112096 |
| Liao Q, Li J. (2019) An adaptive reduced basis ANOVA method for high-dimensional Bayesian inverse problems Journal of Computational Physics. 396: 364-380 |
| Wang H, Li J. (2018) Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions. Neural Computation. 1-23 |
| Feng Z, Li J. (2018) An Adaptive Independence Sampler MCMC Algorithm for Bayesian Inferences of Functions Siam Journal On Scientific Computing. 40: A1301-A1321 |
| Zhou Q, Liu W, Li J, et al. (2018) An approximate empirical Bayesian method for large-scale linear-Gaussian inverse problems Inverse Problems. 34: 095001 |
| Bao F, Cao Y, Han X, et al. (2017) Efficient particle filtering for stochastic Korteweg–de Vries equations Stochastics and Dynamics. 17: 1750008 |
| Zhou Q, Hu Z, Yao Z, et al. (2017) A Hybrid Adaptive MCMC Algorithm in Function Spaces Siam/Asa Journal On Uncertainty Quantification. 5: 621-639 |
| Chen X, Li J. (2017) A subset multicanonical Monte Carlo method for simulating rare failure events Journal of Computational Physics. 344: 23-35 |
| Hu Z, Yao Z, Li J. (2017) On an adaptive preconditioned Crank–Nicolson MCMC algorithm for infinite dimensional Bayesian inference Journal of Computational Physics. 332: 492-503 |