The emergency response management based on Bayesian decision network. - Jiangnan Qiu; Wenjing Gu; Qian Kong; Qiuyan Zhong; Jilei Hu (SSCI, 2016)

Minimum training sample size requirements for achieving high prediction accuracy with the BN model: A case study regarding seismic liquefaction. - Jilei Hu; Wenjun Zou; Jing Wang; Luou Pang (Expert Syst. Appl., 2021)

Rockburst Hazard Prediction in Underground Projects Using Two Intelligent Classification Techniques: A Comparative Study. - Mahmood Ahmad; Jilei Hu; Marijana Hadzima-Nyarko; Feezan Ahmad; Xiaowei Tang; Zia Ur Rahman 001; Ahsan Nawaz; Muhammad Abrar (Symmetry, 2021)

Continuous-discrete hybrid Bayesian network models for predicting earthquake-induced liquefaction based on the Vs database. - Jilei Hu; Jing Wang; Zheng Zhang; Hua-Bei Liu (Comput. Geosci., 2022)

A data extension framework of seismic-induced gravelly soil liquefaction based on semi-supervised methods. - Jilei Hu; Jing Wang (Adv. Eng. Informatics, 2024)

A Bayesian decision network-based pre-disaster mitigation model for earthquake-induced cascading events to balance costs and benefits on a limited budget. - Wenjing Gu; Jiangnan Qiu; Jilei Hu; Xiaowei Tang (Comput. Ind. Eng., 2024)

Bayesian network ensemble models applied to seismic liquefaction prediction based on different in-situ test databases. - Wenjun Zou; Jilei Hu (Appl. Soft Comput., 2025)

An interpretable dynamic Bayesian network method for time-varying seismic liquefaction uplift risk assessment of underground rectangular structures. - Jing Wang; Jilei Hu; Luou Pang (Eng. Appl. Artif. Intell., 2025)

A new method of interval Bayesian penalized network for gravelly soil seismic liquefaction prediction considering parameter confidence and model flaws uncertainties. - Jing Wang; Jilei Hu (Reliab. Eng. Syst. Saf., 2025)