Year |
Citation |
Score |
2020 |
Lv D, Zhou Q, Choi JK, Li J, Zhang X. Nonlocal TV-Gaussian prior for Bayesian inverse problems with applications to limited CT reconstruction Inverse Problems and Imaging. 14: 117-132. DOI: 10.3934/Ipi.2019066 |
0.366 |
|
2019 |
Li K, Tang K, Li J, Wu T, Liao Q. A Hierarchical Neural Hybrid Method for Failure Probability Estimation Ieee Access. 7: 112087-112096. DOI: 10.1109/Access.2019.2934980 |
0.383 |
|
2019 |
Liao Q, Li J. An adaptive reduced basis ANOVA method for high-dimensional Bayesian inverse problems Journal of Computational Physics. 396: 364-380. DOI: 10.1016/J.Jcp.2019.06.059 |
0.417 |
|
2018 |
Wang H, Li J. Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions. Neural Computation. 1-23. PMID 30216145 DOI: 10.1162/Neco_A_01127 |
0.379 |
|
2018 |
Feng Z, Li J. An Adaptive Independence Sampler MCMC Algorithm for Bayesian Inferences of Functions Siam Journal On Scientific Computing. 40: A1301-A1321. DOI: 10.1137/15M1021751 |
0.395 |
|
2018 |
Zhou Q, Liu W, Li J, Marzouk YM. An approximate empirical Bayesian method for large-scale linear-Gaussian inverse problems Inverse Problems. 34: 095001. DOI: 10.1088/1361-6420/Aac287 |
0.397 |
|
2017 |
Bao F, Cao Y, Han X, Li J. Efficient particle filtering for stochastic Korteweg–de Vries equations Stochastics and Dynamics. 17: 1750008. DOI: 10.1142/S0219493717500083 |
0.312 |
|
2017 |
Zhou Q, Hu Z, Yao Z, Li J. A Hybrid Adaptive MCMC Algorithm in Function Spaces Siam/Asa Journal On Uncertainty Quantification. 5: 621-639. DOI: 10.1137/16M1082950 |
0.324 |
|
2017 |
Chen X, Li J. A subset multicanonical Monte Carlo method for simulating rare failure events Journal of Computational Physics. 344: 23-35. DOI: 10.1016/J.Jcp.2017.04.051 |
0.39 |
|
2017 |
Hu Z, Yao Z, Li J. On an adaptive preconditioned Crank–Nicolson MCMC algorithm for infinite dimensional Bayesian inference Journal of Computational Physics. 332: 492-503. DOI: 10.1016/J.Jcp.2016.11.024 |
0.362 |
|
2016 |
Li J, Kath WL. A Path-Based Method for Simulating Large Deviations and Rare Events in Nonlinear Lightwave Systems Studies in Applied Mathematics. 137: 159-173. DOI: 10.1111/Sapm.12122 |
0.341 |
|
2016 |
Yao Z, Hu Z, Li J. A TV-Gaussian prior for infinite-dimensional Bayesian inverse problems and its numerical implementations Inverse Problems. 32: 075006. DOI: 10.1088/0266-5611/32/7/075006 |
0.351 |
|
2016 |
Wu K, Li J. A surrogate accelerated multicanonical Monte Carlo method for uncertainty quantification Journal of Computational Physics. 321: 1098-1109. DOI: 10.1016/J.Jcp.2016.06.020 |
0.398 |
|
2016 |
Wang H, Lin G, Li J. Gaussian process surrogates for failure detection: A Bayesian experimental design approach Journal of Computational Physics. 313: 247-259. DOI: 10.1016/J.Jcp.2016.02.053 |
0.349 |
|
2016 |
Gao T, Li J. A derivative-free trust-region algorithm for reliability-based optimization Structural and Multidisciplinary Optimization. 55: 1535-1539. DOI: 10.1007/S00158-016-1587-Y |
0.337 |
|
2015 |
Li J, Lin G, Yang X. A frozen Gaussian approximation-based multi-level particle swarm optimization for seismic inversion Journal of Computational Physics. 296: 58-71. DOI: 10.1016/J.Jcp.2015.04.050 |
0.343 |
|
2014 |
Li J, Marzouk YM. Adaptive Construction of Surrogates for the Bayesian Solution of Inverse Problems Siam Journal On Scientific Computing. 36: A1163-A1186. DOI: 10.1137/130938189 |
0.388 |
|
2012 |
Li J, Kath WL. Extracting solitons from noisy pulses Siam Journal On Applied Mathematics. 72: 577-593. DOI: 10.1137/110828289 |
0.335 |
|
2011 |
Li J, Xiu D. An efficient surrogate-based method for computing rare failure probability Journal of Computational Physics. 230: 8683-8697. DOI: 10.1016/J.Jcp.2011.08.008 |
0.387 |
|
2010 |
Li J, Biondini G, Kath WL, Kogelnik H. Outage Statistics in a Waveplate Hinge Model of Polarization-Mode Dispersion Journal of Lightwave Technology. 28: 1958-1968. DOI: 10.1109/Jlt.2010.2048890 |
0.613 |
|
2008 |
Li J, Biondini G, Kath WL, Kogelnik H. Anisotropic hinge model for polarization-mode dispersion in installed fibers. Optics Letters. 33: 1924-6. PMID 18709135 DOI: 10.1364/Ol.33.001924 |
0.62 |
|
2008 |
Li J, Biondini G, Kath WL, Kogelnik H. Anisotropie hinge model for polarization-mode dispersion in installed fibers Optics Letters. 33: 1924-1926. DOI: 10.1364/OL.33.001924 |
0.544 |
|
2008 |
Li J, Biondini G, Kogelnik H, Winzer PJ. Noncompliant capacity ratio for systems with an arbitrary number of polarization hinges Journal of Lightwave Technology. 26: 2110-2117. DOI: 10.1109/Jlt.2008.920133 |
0.578 |
|
2008 |
Li J, Biondini G, Kath WL. A waveplate hinge model for PMD in installed fibers 2008 Conference On Quantum Electronics and Laser Science Conference On Lasers and Electro-Optics, Cleo/Qels. DOI: 10.1109/CLEO.2008.4551336 |
0.509 |
|
2007 |
Li J, Spiller E, Biondini G. Noise-induced perturbations of dispersion-managed solitons Physical Review a - Atomic, Molecular, and Optical Physics. 75. DOI: 10.1103/Physreva.75.053818 |
0.544 |
|
Show low-probability matches. |