Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data. - Zhongliang Zhang 001; Bartosz Krawczyk; Salvador García 001; Alejandro Rosales-Pérez; Francisco Herrera (Knowl. Based Syst., 2016)

Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers. - Zhong-Liang Zhang 001; Xinggang Luo; Salvador García 001; Francisco Herrera (Appl. Soft Comput., 2017)

Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme. - Zhong-Liang Zhang 001; Xinggang Luo; Salvador García 001; Jiafu Tang; Francisco Herrera (Knowl. Based Syst., 2017)

Integration of an improved dynamic ensemble selection approach to enhance one-vs-one scheme. - Zhong-Liang Zhang 001; Xinggang Luo; Yang Yu 016; Bo-Wen Yuan; Jiafu Tang (Eng. Appl. Artif. Intell., 2018)

DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets. - Zhong-Liang Zhang 001; Xinggang Luo; Sergio González; Salvador García 001; Francisco Herrera (Neurocomputing, 2018)

Dynamic ensemble selection for multi-class imbalanced datasets. - Salvador García 001; Zhong-Liang Zhang 001; Abdulrahman H. Altalhi; Saleh Alshomrani; Francisco Herrera (Inf. Sci., 2018)

A New Framework of Intelligent Public Transportation System Based on the Internet of Things. - Xinggang Luo; Hong-Bo Zhang; Zhong-Liang Zhang 001; Yang Yu 016; Ke Li (IEEE Access, 2019)

Product Line Pricing under Marginal Moment Model with Network Effect. - Wei Qi; Xinggang Luo; Xuwang Liu; Yang Yu 016; Zhongliang Zhang 001 (Complex., 2019)

A distance-based weighting framework for boosting the performance of dynamic ensemble selection. - Zhong-Liang Zhang 001; Yu-Yu Chen; Jing Li; Xinggang Luo (Inf. Process. Manag., 2019)

Robust Product Positioning Considering Customer Preferences. - Wei Qi; Xinggang Luo; Huihui Wang; Xuwang Liu; Yang Yu 016; Zhong-Liang Zhang 001 (IEEE Syst. J., 2019)

Service Family Design Optimization Considering a Multi-Server Queue. - Zhuotong Miao; Xinggang Luo; Zhongliang Zhang 001; Qing Zhou (IEEE Access, 2021)

OIS-RF: A novel overlap and imbalance sensitive random forest. - Bo-Wen Yuan; Zhong-Liang Zhang 001; Xing-Gang Luo; Yang Yu 016; Xiao-Hua Zou; Xiao-Dong Zou (Eng. Appl. Artif. Intell., 2021)

Regional integrated energy system schemes selection based on risk expectation and Mahalanobis-Taguchi system. - Jiahang Yuan; Yun Li; Xinggang Luo; Lingfei Li; Zhongliang Zhang 001; Cunbin Li (J. Intell. Fuzzy Syst., 2021)

A novel density-based adaptive k nearest neighbor method for dealing with overlapping problem in imbalanced datasets. - Bo-Wen Yuan; Xing-Gang Luo; Zhong-Liang Zhang 001; Yang Yu 016; Hong-Wei Huo; Tretter Johannes; Xiao-Dong Zou (Neural Comput. Appl., 2021)

Service configuration optimization for multiple customers considering service process information and time-varying service resources. - Xing-Gang Luo; Lun Liu; Xuan-Zhu Shang; Zhong-Liang Zhang 001 (Comput. Ind. Eng., 2022)

Robust product line pricing under the multinomial logit choice model. - Wei Qi; Xinggang Luo; Xuwang Liu; Zhong-Liang Zhang 001 (Concurr. Eng. Res. Appl., 2022)

Trip planning for visitors in a service system with capacity constraints. - Xing-Gang Luo; Xin-Rui Liu; Pengli Ji; Xuan-Zhu Shang; Zhong-Liang Zhang 001 (Comput. Oper. Res., 2022)

PF-SMOTE: A novel parameter-free SMOTE for imbalanced datasets. - Qiong Chen; Zhong-Liang Zhang 001; Wenpo Huang; Jian Wu; Xing-Gang Luo (Neurocomputing, 2022)

DRCW-FRkNN-OVO: distance-based related competence weighting based on fixed radius k nearest neighbour for one-vs-one scheme. - Zhong-Liang Zhang 001; Xing-Gang Luo; Qing Zhou (Int. J. Mach. Learn. Cybern., 2022)

Product Line Optimization Considering Network Effects. - Wei Qi; Xuwang Liu; Xinggang Luo; Zhong-Liang Zhang 001 (IEEE Syst. J., 2022)

A multiple classifiers system with roulette-based feature subspace selection for one-vs-one scheme. - Zhong-Liang Zhang 001; Chen-Yue Zhang; Xing-Gang Luo; Qing Zhou (Pattern Anal. Appl., 2023)

Integrated Framework of Kansei Engineering and Kano Model Applied to Service Design. - Min Cai; Miaohuan Wu; Xinggang Luo; Qianqian Wang; Zhongliang Zhang 001; Ziling Ji (Int. J. Hum. Comput. Interact., 2023)

ESMOTE: an overproduce-and-choose synthetic examples generation strategy based on evolutionary computation. - Zhong-Liang Zhang 001; Rui-Rui Peng; Yuan-Peng Ruan; Jian Wu; Xing-Gang Luo (Neural Comput. Appl., 2023)

Mining online reviews for ranking products: A novel method based on multiple classifiers and interval-valued intuitionistic fuzzy TOPSIS. - Ke Li; Chou-Yong Chen; Zhong-Liang Zhang 001 (Appl. Soft Comput., 2023)

Joint optimization of low-carbon product family configuration and smart production line selection. - Xinggang Luo; Yuqing Du; Qiuyan Chen; Zhongliang Zhang 001 (Comput. Ind. Eng., 2023)

Driving risk prevention in usage-based insurance services based on interpretable machine learning and telematics data. - Hong-Jie Li; Xing-Gang Luo; Zhong-Liang Zhang 001; Wei Jiang; Shen-Wei Huang (Decis. Support Syst., 2023)

LSMOTE: A link-based Synthetic Minority Oversampling Technique for binary imbalanced datasets. - Qin-Nan Cai; Zhong-Liang Zhang 001; Yu-Heng Wu; Xiu-Ming Zhang (Neurocomputing, 2024)

Optimal decisions of elderly care service supply chain with government intervention. - Jiahuan He; Xinggang Luo; Yang Yu 016; Zhongliang Zhang 001 (RAIRO Oper. Res., 2024)

IPTV Advertising Scheduling Methods Considering Advertising Repetition Effects. - Jingqi Jiang; Xinggang Luo; Wei Jiang; Zhongliang Zhang 001 (IEEE Trans. Engineering Management, 2024)

Iterative minority oversampling and its ensemble for ordinal imbalanced datasets. - Ning Wang; Zhong-Liang Zhang 001; Xing-Gang Luo (Eng. Appl. Artif. Intell., 2024)

Strategic Analysis of the Parameter Servers and Participants in Federated Learning: An Evolutionary Game Perspective. - Xinggang Luo; Zhongliang Zhang 001; Jiahuan He; Shengnan Hu (IEEE Trans. Comput. Soc. Syst., 2024)

Sentiment classification of movie reviews: a powerful method based on ensemble of classifiers and features. - Jian Pei; Zhong-Liang Zhang 001; Wan-An Liu (Int. J. Mach. Learn. Cybern., 2024)

Iterative under-sampling for delisting risk prediction of Chinese listed companies based on financial information. - Yun-Hao Zhu; Zhongliang Zhang 001; Wan-An Liu (Eng. Appl. Artif. Intell., 2025)

Exact and heuristic algorithms for team orienteering problem with fuzzy travel times. - Xinrui Liu; Xiaojuan Jiang; Xinggang Luo; Zhongliang Zhang 001; Pengli Ji (Expert Syst. Appl., 2025)

DES-AS: Dynamic ensemble selection based on algorithm Shapley. - Zhong-Liang Zhang 001; Yun-Hao Zhu; Xing-Gang Luo (Pattern Recognit., 2025)

Multi-Class Imbalanced Learning with Support Vector Machines via Differential Evolution. - Zhong-Liang Zhang 001; Jie Yang; Jian-Ming Ru; Xiao-Xi Zhao; Xing-Gang Luo (CoRR, 2025)