Guichen Li
Civil and Structural Engineering · 2019–2021
A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Civil and Structural Engineering — 26 citations into it
- Building and Construction — 17 citations into it
- Artificial Intelligence — 12 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Guichen Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiangyuan Jiang
- Junfei Zhang
- Yuantian Sun
- Erwan Scornet
- Junbo Sun
- Trevor J. Hastie
- Khaleel H. Younis
- Ron Kohavi
- Aliakbar Gholampour
- Shuai Li
Who trusts Guichen Li overall
Papers from Guichen Li's perspective
Ordered by how strongly the researchers Guichen Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning representations by back-propagating errors
- Random Forests
- Creating artificial neural networks that generalize
- On the asymptotics of random forests
- Neural networks for predicting compressive strength of structural light weight concrete
- Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network
- Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- BAS: Beetle Antennae Search Algorithm for Optimization Problems (arXiv.org)
- Strength prediction model and methods for improving recycled aggregate concrete
- Properties of concrete prepared with low-grade recycled aggregates
Their papers
- Machine learning-based constitutive models for cement-grouted coal specimens under shearing (2021) — 53 citations
- Optimized neural network using beetle antennae search for predicting the unconfined compressive strength of jet grouting coalcretes (2019) — 146 citations
- Determination of Young's modulus of jet grouted coalcretes using an intelligent model (2019) — 94 citations
- Prediction of the Strength of Rubberized Concrete by an Evolved Random Forest Model (2019) — 104 citations