An adaptive constraint-handling approach for optimization problems with expensive objective and constraints. - Jiaxiang Yi; Yuansheng Cheng; Jun Liu 039 (CEC, 2020)

A sequential constraints updating approach for Kriging surrogate model-assisted engineering optimization design problem. - Jiachang Qian; Jiaxiang Yi; Yuansheng Cheng; Jun Liu 039; Qi Zhou (Eng. Comput., 2020)

An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems. - Puyu Jiang; Yuansheng Cheng; Jiaxiang Yi; Jun Liu 039 (Inf. Sci., 2021)

Cooperative data-driven modeling. - Aleksandr Dekhovich; O. Taylan Turan; Jiaxiang Yi; Miguel A. Bessa (CoRR, 2022)

A sequential multi-fidelity surrogate model-assisted contour prediction method for engineering problems with expensive simulations. - Jun Liu 039; Jiaxiang Yi; Qi Zhou; Yuansheng Cheng (Eng. Comput., 2022)

A novel fidelity selection strategy-guided multifidelity kriging algorithm for structural reliability analysis. - Jiaxiang Yi; Yuansheng Cheng; Jun Liu 039 (Reliab. Eng. Syst. Saf., 2022)

Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits. - Ji Cheng 001; Bo Xue 004; Jiaxiang Yi; Qingfu Zhang 001 (AAAI, 2024)

Practical multi-fidelity machine learning: fusion of deterministic and Bayesian models. - Jiaxiang Yi; Ji Cheng 001; Miguel A. Bessa (CoRR, 2024)

Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties. - Jiaxiang Yi; Miguel A. Bessa (CoRR, 2025)

Single- to multi-fidelity history-dependent learning with uncertainty quantification and disentanglement: application to data-driven constitutive modeling. - Jiaxiang Yi; Bernardo P. Ferreira; Miguel A. Bessa (CoRR, 2025)