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Weixuan Li
Weixuan Li
ExxonMobil Upstream Research
Verified email at exxonmobil.com
Title
Cited by
Cited by
Year
An adaptive Gaussian process‐based method for efficient Bayesian experimental design in groundwater contaminant source identification problems
J Zhang, W Li, L Zeng, L Wu
Water Resources Research, 2016
912016
Stochastic analysis of unsaturated flow with probabilistic collocation method
W Li, Z Lu, D Zhang
Water Resources Research 45 (8), 2009
902009
Inverse regression-based uncertainty quantification algorithms for high-dimensional models: Theory and practice
W Li, G Lin, B Li
Journal of Computational Physics 321, 259-278, 2016
492016
An iterative local updating ensemble smoother for estimation and uncertainty assessment of hydrologic model parameters with multimodal distributions
J Zhang, G Lin, W Li, L Wu, L Zeng
Water Resources Research 54 (3), 1716-1733, 2018
372018
An adaptive ANOVA-based PCKF for high-dimensional nonlinear inverse modeling
W Li, G Lin, D Zhang
Journal of Computational Physics 258, 752-772, 2014
312014
An adaptive importance sampling algorithm for Bayesian inversion with multimodal distributions
W Li, G Lin
Journal of Computational Physics 294, 173-190, 2015
272015
Data assimilation for unsaturated flow models with restart adaptive probabilistic collocation based Kalman filter
J Man, W Li, L Zeng, L Wu
Advances in Water Resources 92, 258-270, 2016
252016
Efficient evaluation of small failure probability in high‐dimensional groundwater contaminant transport modeling via a two‐stage M onte C arlo method
J Zhang, W Li, G Lin, L Zeng, L Wu
Water Resources Research 53 (3), 1948-1962, 2017
222017
A surrogate-based adaptive sampling approach for history matching and uncertainty quantification
W Li, D Zhang, G Lin
SPE Reservoir Simulation Symposium, 2015
162015
Sequential ensemble‐based optimal design for parameter estimation
J Man, J Zhang, W Li, L Zeng, L Wu
Water Resources Research 52 (10), 7577-7592, 2016
152016
Sliced-Inverse-Regression--Aided Rotated Compressive Sensing Method for Uncertainty Quantification
X Yang, W Li, A Tartakovsky
SIAM/ASA Journal on Uncertainty Quantification 6 (4), 1532-1554, 2018
132018
Probabilistic Collocation Based Kalman Filter for Assisted History Matching
W Li, D Oyerinde, D Stern, XH Wu, D Zhang
SPE Reservoir Simulation Symposium, 2011
52011
Trimmed ensemble Kalman filter for nonlinear and non-Gaussian data assimilation problems
W Li, WS Rosenthal, G Lin
arXiv preprint arXiv:1808.05465, 2018
42018
Ensemble-based uncertainty quantification for coordination and control of thermostatically controlled loads
W Li, J Lian, D Engel, H Wang
Journal of Control and Decision 5 (2), 148-168, 2018
22018
Inverse modeling and uncertainty quantification of nonlinear flow in porous media models
W Li
University of Southern California, 2014
22014
Addition to the known diversity of Chinese freshwater planarians: integrative description of a new species of Dugesia Girard, 1850 (Platyhelminthes, Tricladida, Dugesiidae)
Y Liu, XY Song, ZY Sun, WX Li, R Sluys, SF Li, AT Wang
Zoosystematics and Evolution 98 (2), 233-243, 2022
2022
The complete mitochondrial genome of a marine triclad Miroplana shenzhensis (Platyhelminthes, Tricladida, Maricola)
JJ Huang, YY Liao, WX Li, JY Li, AT Wang, Y Zhang
Mitochondrial DNA Part B 7 (6), 927-929, 2022
2022
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Articles 1–17