Bilevel optimization of block compressive sensing with perceptually nonlocal similarity. - Yu Zhou 027; Sam Kwong; Hainan Guo; Wei Gao 003; Xu Wang 006 (Inf. Sci., 2016)

A Hybrid Approach for Forecasting Patient Visits in Emergency Department. - Qinneng Xu; Kwok-Leung Tsui; Wei Jiang; Hainan Guo (Qual. Reliab. Eng. Int., 2016)

Simulation Optimization for Medical Staff Configuration at Emergency Department in Hong Kong. - Hainan Guo; Siyang Gao; Kwok-Leung Tsui; Tie Niu (IEEE Trans Autom. Sci. Eng., 2017)

A Two-Phase Evolutionary Approach for Compressive Sensing Reconstruction. - Yu Zhou 027; Sam Kwong; Hainan Guo; Xiao Zhang 006; Qingfu Zhang 001 (IEEE Trans. Cybern., 2017)

An integrated approach for surgery scheduling under uncertainty. - Jin Wang 017; Hainan Guo; Monique Bakker; Kwok-Leung Tsui (Comput. Ind. Eng., 2018)

A two-period carbon tax regulation for manufacturing and remanufacturing production planning. - Guowei Dou; Hainan Guo; Qingyu Zhang; Xiaodong Li (Comput. Ind. Eng., 2019)

Collaborative block compressed sensing reconstruction with dual-domain sparse representation. - Yu Zhou 027; Hainan Guo (Inf. Sci., 2019)

A new medical staff allocation via simulation optimisation for an emergency department in Hong Kong. - Wenjie Chen; Hainan Guo; Kwok-Leung Tsui (Int. J. Prod. Res., 2020)

Many-objective optimization of feature selection based on two-level particle cooperation. - Yu Zhou 027; Junhao Kang; Hainan Guo (Inf. Sci., 2020)

Feature subset selection via an improved discretization-based particle swarm optimization. - Yu Zhou 027; Jiping Lin; Hainan Guo (Appl. Soft Comput., 2021)

Two-stage robust optimisation for surgery scheduling considering surgeon collaboration. - Jin Wang 017; Hainan Guo; Kwok-Leung Tsui (Int. J. Prod. Res., 2021)

Outpatient appointment scheduling problem considering patient selection behavior: data modeling and simulation optimization. - Xuanzhu Fan; Jiafu Tang; Chongjun Yan; Hainan Guo; Zhongfa Cao (J. Comb. Optim., 2021)

An Adaptive Gaussian Process-Based Search for Stochastically Constrained Optimization via Simulation. - Wenjie Chen; Hainan Guo; Kwok-Leung Tsui (IEEE Trans Autom. Sci. Eng., 2021)

Self-expressiveness property-induced structured optimal graph for unsupervised feature selection. - Hainan Guo; Haowen Xia; Yu Zhou 027 (Neural Comput. Appl., 2022)

Bayesian-Based Hyperparameter Optimization of 1D-CNN for Structural Anomaly Detection. - Xiaofei Li; Hainan Guo; Langxing Xu; Zezheng Xing (Sensors, 2023)

Feature library-assisted surrogate model for evolutionary wrapper-based feature selection and classification. - Hainan Guo; Junnan Ma; Ruiqi Wang; Yu Zhou 027 (Appl. Soft Comput., 2023)

Application of Graph Convolutional Neural Networks Combined with Single-Model Decision-Making Fusion Neural Networks in Structural Damage Recognition. - Xiaofei Li; Langxing Xu; Hainan Guo; Lu Yang (Sensors, 2023)

A Multiobjective Particle Swarm Optimizer based Localized Feature Selection for Imbalanced Fault Diagnosis. - Lin Gao; Yu Zhou; Hainan Guo; Sam Tak-Wu Kwong (CEC, 2024)