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 Multiobjective Computation Offloading Algorithm for Mobile-Edge Computing. - Fuhong Song; Huanlai Xing; Shouxi Luo; Dawei Zhan; Penglin Dai; Rong Qu (IEEE Internet Things J., 2020)

Expected improvement for expensive optimization: a review. - Dawei Zhan; Huanlai Xing (J. Glob. Optim., 2020)

A Population Prescreening Strategy for Kriging-Assisted Evolutionary Computation. - Dawei Zhan; Huanlai Xing (CEC, 2021)

A two-stage approach for multicast-oriented virtual network function placement. - Xinhan Wang; Huanlai Xing; Dawei Zhan; Shouxi Luo; Penglin Dai; Muhammad Azhar Iqbal (Appl. Soft Comput., 2021)

RTFN: A robust temporal feature network for time series classification. - Zhiwen Xiao; Xin Xu 009; Huanlai Xing; Shouxi Luo; Penglin Dai; Dawei Zhan (Inf. Sci., 2021)

A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning. - Dawei Zhan; Huanlai Xing (IEEE Trans. Evol. Comput., 2021)

SelfMatch: Robust semisupervised time-series classification with self-distillation. - Huanlai Xing; Zhiwen Xiao; Dawei Zhan; Shouxi Luo; Penglin Dai; Ke Li 020 (Int. J. Intell. Syst., 2022)

An Anisotropic Expected Improvement Criterion for Kriging-Assisted Evolutionary Computation. - Dawei Zhan; Yuqian Gui; Tianrui Li 001 (CEC, 2023)

An Exploitation-Enhanced Bayesian Optimization Algorithm for High-Dimensional Expensive Problems. - Yuqian Gui; Dawei Zhan; Tianrui Li 001 (ICANN (3), 2023)

A Fast Multipoint Expected Improvement for Parallel Expensive Optimization. - Dawei Zhan; Yun Meng; Huanlai Xing (IEEE Trans. Evol. Comput., 2023)

Batch Bayesian Optimization via Expected Subspace Improvement. - Dawei Zhan; Zhaoxi Zeng; Shuoxiao Wei; Ping Wu (CoRR, 2024)

Taking another step: A simple approach to high-dimensional Bayesian optimization. - Yuqian Gui; Dawei Zhan; Tianrui Li 001 (Inf. Sci., 2024)

Expected coordinate improvement for high-dimensional Bayesian optimization. - Dawei Zhan (Swarm Evol. Comput., 2024)

A cooperative approach to efficient global optimization. - Dawei Zhan; Jintao Wu; Huanlai Xing; Tianrui Li 001 (J. Glob. Optim., 2024)

Pointwise expected hypervolume improvement for expensive multi-objective optimization. - Mei Li; Dawei Zhan (J. Glob. Optim., 2025)

An Adaptive Dropout Approach for High-Dimensional Bayesian Optimization. - Jundi Huang; Dawei Zhan (CoRR, 2025)