Lingzao Zeng

发表

Application of stochastic resonance in target detection in shallow-water reverberation

Bohou Xu, Lingzao Zeng, Jianlong Li, 2007 .

A Probabilistic Collocation-Based Kalman Filter for History Matching

Haibin Chang, Dongxiao Zhang, Lingzao Zeng, 2011 .

An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions

Guang Lin, Lingzao Zeng, Weixuan Li, 2016, 1611.04702.

Efficient evaluation of small failure probability in high‐dimensional groundwater contaminant transport modeling via a two‐stage Monte Carlo method

Guang Lin, Lingzao Zeng, Weixuan Li, 2017 .

Inverse Modeling of Hydrologic Systems with Adaptive Multifidelity Markov Chain Monte Carlo Simulations

Guang Lin, Lingzao Zeng, Jiangjiang Zhang, 2017 .

Adaptive multi-fidelity probabilistic collocation-based Kalman filter for subsurface flow data assimilation: numerical modeling and real-world experiment

Qiang Zheng, Lingzao Zeng, Jun Man, 2020, Stochastic Environmental Research and Risk Assessment.

Efficient History Matching Using the Markov-Chain Monte Carlo Method by Means of the Transformed Adaptive Stochastic Collocation Method

Haibin Chang, Dongxiao Zhang, Lingzao Zeng, 2019, SPE Journal.

A probabilistic collocation based iterative Kalman filter for landfill data assimilation

Qiang Zheng, Wenjie Xu, Lingzao Zeng, 2017 .

MATLAB codes of DREAM_(ZKS)

Guang Lin, Jasper A. Vrugt, Lingzao Zeng, 2017 .

Surrogate-Based Bayesian Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Approximation Erro.

Qiang Zheng, Lingzao Zeng, Jiangjiang Zhang, 2018 .

Improving Simulation Efficiency of MCMC for Inverse Modeling of Hydrologic Systems With a Kalman‐Inspired Proposal Distribution

Jasper A. Vrugt, Guang Lin, Lingzao Zeng, 2017, Water Resources Research.

Bayesian inference for kinetic models of biotransformation using a generalized rate equation.

Lingzao Zeng, Shanshan Ying, Laosheng Wu, 2017, The Science of the total environment.

Speed-up of posterior inference of highly-parameterized environmental models from a Kalman proposal distribution: DREAM(KZS)

Guang Lin, Jasper A. Vrugt, Lingzao Zeng, 2017 .

A sparse grid based Bayesian method for contaminant source identification

Dongxiao Zhang, Liangsheng Shi, Lingzao Zeng, 2012 .

Improving parameter estimation with an efficient sequential probabilistic collocation-based optimal design method

Qiang Zheng, Lingzao Zeng, Laosheng Wu, 2019, Journal of Hydrology.

Adaptive Multifidelity Data Assimilation for Nonlinear Subsurface Flow Problems

Qiang Zheng, Wenjie Xu, Lingzao Zeng, 2018, Water Resources Research.

Inverse modeling of hydrologic systems with adaptive multi-fidelity simulations

Lingzao Zeng, Jiangjiang Zhang, Laosheng Wu, 2017 .

Bayesian Monitoring Design for Streambed Heat Tracing: Numerical Simulation and Sandbox Experiments

Lei Ju, Lingzao Zeng, Laosheng Wu, 2018, Ground water.

An adaptive Gaussian process‐based method for efficient Bayesian experimental design in groundwater contaminant source identification problems

Lingzao Zeng, Weixuan Li, Jiangjiang Zhang, 2016 .

Using Deep Learning to Improve Ensemble Smoother: Applications to Subsurface Characterization pdf

Qiang Zheng, Lingzao Zeng, Jiangjiang Zhang, 2020, ArXiv.

Physics-informed semantic inpainting: Application to geostatistical modeling

Qiang Zheng, George Em Karniadakis, Lingzao Zeng, 2020, J. Comput. Phys..

A generalized multi-fidelity simulation method using sparse polynomial chaos expansion

Lingzao Zeng, Yijun Yao, Jun Man, 2021, J. Comput. Appl. Math..

ANOVA-based transformed probabilistic collocation method for Bayesian data-worth analysis

Lingzao Zeng, Qinzhuo Liao, Jun Man, 2017 .

Data assimilation for unsaturated flow models with restart adaptive probabilistic collocation based Kalman filter

Lingzao Zeng, Weixuan Li, Jun Man, 2016 .

A stochastic collocation based Kalman filter for data assimilation

Lingzao Zeng, Dongxiao Zhang, Dongxiao Zhang, 2010 .

M-ary signal detection via a bistable system in the presence of Lévy noise

Lingzao Zeng, Jiachun Shi, Jianlong Li, 2012 .

ANOVA-based multi-fidelity probabilistic collocation method for uncertainty quantification

Lingzao Zeng, Jun Man, J. Man, 2018, Advances in Water Resources.

Effects of asymmetric Lévy noise in parameter-induced aperiodic stochastic resonance

Bohou Xu, Lingzao Zeng, L. Zeng, 2010 .

Dynamical properties of subdiffusion in the bistable system with aperiodic inputs

Bohou Xu, Lingzao Zeng, Jianlong Li, 2007 .

Uncertainty quantification of contaminant transport and risk assessment with conditional stochastic collocation method

Liangsheng Shi, Lingzao Zeng, Jinzhong Yang, 2013, Stochastic Environmental Research and Risk Assessment.

A multi-medium chain modeling approach to estimate the cumulative effects of cadmium pollution on human health.

Lingzao Zeng, Jun Meng, Jiangjiang Zhang, 2018, Environmental pollution.

Multiscale-finite-element-based ensemble Kalman filter for large-scale groundwater flow

Liangsheng Shi, Lingzao Zeng, Dongxiao Zhang, 2012 .