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Jilei Hu
Jilei Hu
China Three Gorges University
Verified email at ctgu.edu.cn
Title
Cited by
Cited by
Year
Assessment of seismic liquefaction potential based on Bayesian network constructed from domain knowledge and history data
JL Hu, XW Tang, JN Qiu
Soil Dynamics and Earthquake Engineering 89, 49-60, 2016
552016
Bayesian network models for probabilistic evaluation of earthquake-induced liquefaction based on CPT and Vs databases
J Hu, H Liu
Engineering geology 254, 76-88, 2019
542019
Supervised learning methods for modeling concrete compressive strength prediction at high temperature
M Ahmad, JL Hu, F Ahmad, XW Tang, M Amjad, MJ Iqbal, M Asim, ...
Materials 14 (8), 1983, 2021
532021
A Bayesian network approach for predicting seismic liquefaction based on interpretive structural modeling
JL Hu, XW Tang, JN Qiu
Georisk: Assessment and Management of Risk for Engineered Systems and …, 2015
362015
Relationship between earthquake-induced uplift of rectangular underground structures and the excess pore water pressure ratio in saturated sandy soils
J Hu, Q Chen, H Liu
Tunnelling and Underground Space Technology 79, 35-51, 2018
332018
Rockburst hazard prediction in underground projects using two intelligent classification techniques: A comparative study
M Ahmad, JL Hu, M Hadzima-Nyarko, F Ahmad, XW Tang, ZU Rahman, ...
Symmetry 13 (4), 632, 2021
292021
Identification of ground motion intensity measure and its application for predicting soil liquefaction potential based on the Bayesian network method
J Hu, H Liu
Engineering geology 248, 34-49, 2019
282019
A new approach for constructing two Bayesian network models for predicting the liquefaction of gravelly soil
J Hu
Computers and Geotechnics 137, 104304, 2021
272021
Identifying significant influence factors of seismic soil liquefaction and analyzing their structural relationship
XW Tang, JL Hu, JN Qiu
KSCE Journal of Civil Engineering 20, 2655-2663, 2016
272016
Data cleaning and feature selection for gravelly soil liquefaction
J Hu
Soil Dynamics and Earthquake Engineering 145, 106711, 2021
262021
Assessment of liquefaction-induced hazards using Bayesian networks based on standard penetration test data
XW Tang, X Bai, JL Hu, JN Qiu
Natural Hazards and Earth System Sciences 18 (5), 1451-1468, 2018
222018
Analysis of the influences of sampling bias and class imbalance on performances of probabilistic liquefaction models
JL Hu, XW Tang, JN Qiu
International Journal of Geomechanics 17 (6), 04016134, 2017
212017
The uplift behavior of a subway station during different degree of soil liquefaction
JL Hu, HB Liu
Procedia engineering 189, 18-24, 2017
182017
Minimum training sample size requirements for achieving high prediction accuracy with the BN model: A case study regarding seismic liquefaction
J Hu, W Zou, J Wang, L Pang
Expert Systems with Applications 185, 115702, 2021
172021
Seismic gravelly soil liquefaction assessment based on dynamic penetration test using expanded case history dataset
N Pirhadi, J Hu, Y Fang, I Jairi, X Wan, J Lu
Bulletin of Engineering Geology and the Environment 80, 8159-8170, 2021
112021
Datasets for gravelly soil liquefaction case histories
J Hu, J Wang, W Zou, B Yang
Data in Brief 36, 107104, 2021
92021
Key factors influencing earthquake-induced liquefaction and their direct and mediation effects
J Hu, Y Tan, W Zou
Plos one 16 (2), e0246387, 2021
82021
Continuous-discrete hybrid Bayesian network models for predicting earthquake-induced liquefaction based on the Vs database
J Hu, J Wang, Z Zhang, H Liu
Computers & Geosciences 169, 105231, 2022
62022
The emergency response management based on Bayesian decision network
J Qiu, W Gu, Q Kong, Q Zhong, J Hu
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
62016
Prediction of probability of seismic-induced liquefaction based on Bayesian network
HU Ji-lei, T Xiao-wei, QIU Jiang-nan
Rock and Soil Mechanics 37 (6), 1745-1752, 2016
62016
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