Yue HU

Leibniz University Hannover

Germany

Research Interests

Explore related searches

Professors in Germany

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (15)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Collaborators (2)

Matthias Faes

Professor (full)

Technische Universität Dortmund

GERMANY

View details

Chun Fai Leung

National University of Singapore (NUS)

SINGAPORE

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Yue HU

Research Interests

Explore related searches

Contact this professor

Articles (15)

Characterisation of the spatial variability of underconsolidated Singapore Marine Clay using random field theory

Interval Fields for Geotechnical Engineering Uncertainty Analysis under Limited Data

Evaluating statistical homogeneity of cone penetration test (CPT) data profile using auto-correlation function

Network reliability analysis through survival signature and machine learning techniques

Non-parametric simulation of random field samples from incomplete measurements using generative adversarial networks

Similarity quantification of soil spatial variability between two cross-sections using auto-correlation functions

Three-dimensional reconstruction of subsurface stratigraphy using machine learning with neighborhood aggregation

Predicting geological interfaces using stacking ensemble learning with multi-scale features

Data-Driven Development of Three-Dimensional Subsurface Models from Sparse Measurements Using Bayesian Compressive Sampling: A Benchmarking Study

Erratum: Data-Driven Development of Three-Dimensional Subsurface Models from Sparse Measurements Using Bayesian Compressive Sampling: A Benchmarking Study (ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering DOI: 10.1061/AJRUA6.RUENG-935)

Non-parametric modelling and simulation of spatiotemporally varying geo-data

静力触探识别场地土层分布的贝叶斯学习方法研究

Probabilistic soil classification and stratification in a vertical cross-section from limited cone penetration tests using random field and Monte Carlo simulation

Cone penetration test (CPT)-based subsurface soil classification and zonation in two-dimensional vertical cross section using Bayesian compressive sampling

Bayesian Supervised Learning of Site-Specific Geotechnical Spatial Variability from Sparse Measurements

Collaborators (2)

Matthias Faes

Chun Fai Leung

Make your next move.