Lijing Wang

Assistant Professor

University of Connecticut

United States

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Dr. Lijing Wang is an Assistant Professor at the University of Connecticut, USA. His research focuses on machine learning applications in geophysical modeling, groundwater response, and geochemical anomaly detection. Recent publications highlight his work on climate patterns, hydrological transitions, and statistical modeling techniques relevant to environmental and geological studies.

Articles (14)

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2025

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2024

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2022

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2021

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2021

Collaborators (5)

Frances V. Davenport

UNITED STATES

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Kate Maher

Professor

Stanford University

UNITED STATES

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Zach Perzan

Assistant Professor

University of Nevada

UNITED STATES

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Haruko Wainwright

Assistant Professor

Massachusetts Institute of Technology

UNITED STATES

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Zhen Yin

Stanford University

UNITED STATES

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Lijing Wang

Research Interests

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About

Articles (14)

Quantifying Groundwater Response and Uncertainty in Beaver‐Influenced Mountainous Floodplains Using Machine Learning‐Based Model Calibration

Quantifying Model Misrepresentation in Geophysical Inversion for Critical Mineral Exploration

Physics-informed surrogate modeling for supporting climate resilience at groundwater contamination sites

Mountainous Floodplain Connectivity in Response to Hydrological Transitions

Masked Autoregressive Flow for Geochemical Anomaly Detection with Application to Li–Cs–Ta Pegmatites Exploration of the Superior Craton, Canada

An enhanced fourier neural operator surrogate for radioactive plume transport forecasting

Constructing Priors for Geophysical Inversions Constrained by Surface and Borehole Geochemistry

Identifying Climate Patterns Using Clustering Autoencoder Techniques

Unraveling the uncertainty of geological interfaces through data-knowledge-driven trend surface analysis

Statistical modeling of three-dimensional redox architecture from non-colocated redox borehole and transient electromagnetic data

Semisupervised semantic segmentation for seismic interpretation

Hierarchical Bayesian Inversion of Global Variables and Large‐Scale Spatial Fields

Quantifying the Effect of Precipitation on Landslide Hazard in Urbanized and Non‐Urbanized Areas

Probabilistic Evaluation of Geoscientific Hypotheses With Geophysical Data: Application to Electrical Resistivity Imaging of a Fractured Bedrock Zone

Collaborators (5)

Frances V. Davenport

Kate Maher

Zach Perzan

Haruko Wainwright

Zhen Yin

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