Automatic Energy Status Controlling with Dynamic Voltage Scaling in Power-Aware High Performance Computing Cluster. - Yuansheng Cheng; Yu Zeng (PDCAT, 2011)

Balancing global and local search in parallel efficient global optimization algorithms. - Dawei Zhan; Jiachang Qian; Yuansheng Cheng (J. Glob. Optim., 2017)

Pseudo expected improvement criterion for parallel EGO algorithm. - Dawei Zhan; Jiachang Qian; Yuansheng Cheng (J. Glob. Optim., 2017)

Expected Improvement Matrix-Based Infill Criteria for Expensive Multiobjective Optimization. - Dawei Zhan; Yuansheng Cheng; Jun Liu 039 (IEEE Trans. Evol. Comput., 2017)

A Three-Stage Surrogate Model Assisted Multi-Objective Genetic Algorithm for Computationally Expensive Problems. - Puyu Jiang; Qi Zhou; Jun Liu 039; Yuansheng Cheng (CEC, 2019)

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)

Design and Implementation of Archive Management System Based on Cloud Computing Big Data. - Zhengnan Wu; Yuansheng Cheng (ICISCAE (ACM), 2021)

A screening-based gradient-enhanced Gaussian process regression model for multi-fidelity data fusion. - Quan Lin; Dawei Hu; Jiexiang Hu; Yuansheng Cheng; Qi Zhou 006 (Adv. Eng. Informatics, 2021)

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)

Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity. - Quan Lin; Jiexiang Hu; Qi Zhou 006; Yuansheng Cheng; Zhen Hu; Ivo Couckuyt; Tom Dhaene (Knowl. Based Syst., 2021)

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)

An efficient global optimization algorithm for expensive constrained black-box problems by reducing candidate infilling region. - Yong Zeng; Yuansheng Cheng; Jun Liu 039 (Inf. Sci., 2022)

Cooperative Bayesian optimization with hybrid grouping strategy and sample transfer for expensive large-scale black-box problems. - Puyu Jiang; Yuansheng Cheng; Jun Liu 039 (Knowl. Based Syst., 2022)

A multi-output multi-fidelity Gaussian process model for non-hierarchical low-fidelity data fusion. - Quan Lin; Jiachang Qian; Yuansheng Cheng; Qi Zhou 006; Jiexiang Hu (Knowl. Based Syst., 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)

Big Data Mining Algorithm of Internet of Things Based on Artificial Intelligence Technology. - Zhengnan Wu; Yuansheng Cheng (ICISE, 2023)

A coevolutionary algorithm assisted by two archives for constrained multi-objective optimization problems. - Yong Zeng; Yuansheng Cheng; Jun Liu 039 (Swarm Evol. Comput., 2023)

A LOW-Cost Multi-Frequency Testing Platform for Non-Contact Vibration Measurement. - Yuansheng Cheng; Zufeng Zhang; Grzegorz Królczyk; Sifa Zheng; Zhixiong Li 001 (IEEE Instrum. Meas. Mag., 2023)

Bi-Population-Enhanced Cooperative Differential Evolution for Constrained Large-Scale Optimization Problems. - Puyu Jiang; Jun Liu 039; Yuansheng Cheng (IEEE Trans. Evol. Comput., 2024)

A Surrogate-Assisted Constrained Optimization Evolutionary Algorithm by Searching Multiple Kinds of Global and Local Regions. - Yong Zeng; Yuansheng Cheng; Jun Liu 039 (IEEE Trans. Evol. Comput., 2025)