Research on Evolutionary Level Set Method and Gaussian Mixture Model Based Target Shape Design Optimization Problem. - Liangyue Jia; Jia Hao 002; Guoxin Wang 001; Yan Yan 008 (IEEE Access, 2019)

Ensemble of surrogates and cross-validation for rapid and accurate predictions using small data sets. - Reza Alizadeh; Liangyue Jia; Anand Balu Nellippallil; Guoxin Wang 001; Jia Hao 002; Janet K. Allen; Farrokh Mistree (Artif. Intell. Eng. Des. Anal. Manuf., 2019)

A rule-based method for automated surrogate model selection. - Liangyue Jia; Reza Alizadeh; Jia Hao 002; Guoxin Wang 001; Janet K. Allen; Farrokh Mistree (Adv. Eng. Informatics, 2020)

Design optimization by integrating limited simulation data and shape engineering knowledge with Bayesian optimization (BO-DK4DO). - Jia Hao 002; Mengying Zhou; Guoxin Wang 001; Liangyue Jia; Yan Yan 008 (J. Intell. Manuf., 2020)

Building surrogate models for engineering problems by integrating limited simulation data and monotonic engineering knowledge. - Jia Hao 002; Wenbin Ye 004; Liangyue Jia; Guoxin Wang 001; Janet K. Allen (Adv. Eng. Informatics, 2021)

Human-in-the-loop optimization for vehicle body lightweight design. - Jia Hao; Ruofan Deng; Liangyue Jia; Zuoxuan Li; Reza Alizadeh; Leili Soltanisehat; Bingyi Liu; Zhibin Sun; Yiping Shao (Adv. Eng. Informatics, 2024)