Customer segmentation using K-means clustering and the adaptive particle swarm optimization algorithm. - Yue Li 054; Xiaoquan Chu; Dong Tian; Jianying Feng; Weisong Mu (Appl. Soft Comput., 2021)

CDA-LSTM: an evolutionary convolution-based dual-attention LSTM for univariate time series prediction. - Xiaoquan Chu; Haibin Jin; Yue Li 054; Jianying Feng; Weisong Mu (Neural Comput. Appl., 2021)

GrapeGAN: Unsupervised image enhancement for improved grape leaf disease recognition. - Haibin Jin; Yue Li 054; Jianfang Qi; Jianying Feng; Dong Tian; Weisong Mu (Comput. Electron. Agric., 2022)

A new oversampling method and improved radial basis function classifier for customer consumption behavior prediction. - Yue Li 054; Xiaoyun Jia; Ruili Wang; Jianfang Qi; Haibin Jin; Xiaoquan Chu; Weisong Mu (Expert Syst. Appl., 2022)

User value identification based on an improved consumer value segmentation algorithm. - Jianfang Qi; Yue Li 054; Haibin Jin; Jianying Feng; Weisong Mu (Kybernetes, 2023)

Customer Segmentation Using K-Means Clustering and the Hybrid Particle Swarm Optimization Algorithm. - Yue Li 054; Jianfang Qi; Xiaoquan Chu; Weisong Mu (Comput. J., 2023)

A novel stratification clustering algorithm based on a new local density estimation method and an improved local inter-cluster distance measure. - Jianfang Qi; Yue Li 054; Haibin Jin; Jianying Feng; Dong Tian; Weisong Mu (Int. J. Mach. Learn. Cybern., 2023)

An Improved Genetic-XGBoost Classifier for Customer Consumption Behavior Prediction. - Yue Li 054; Jianfang Qi; Haibin Jin; Dong Tian; Weisong Mu; Jianying Feng (Comput. J., 2024)

User profiling for Chinese super-new generation wine consumers based on improved density peak clustering algorithm. - Yumeng Feng; Weisong Mu; Yue Li 054; Tianqi Liu; Jianying Feng (Kybernetes, 2025)