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

Prediction of liquid-liquid phase separating proteins using machine learning. - Xiaoquan Chu; Tanlin Sun; Qian Li; Youjun Xu; Zhuqing Zhang; Luhua Lai; Jianfeng Pei (BMC Bioinform., 2022)

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

CWAN: Self-supervised learning for deep grape disease image composition. - Haibin Jin; Xiaoquan Chu; Jianfang Qi; Xinxin Zhang; Weisong Mu (Eng. Appl. Artif. Intell., 2023)

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

Learning multiple attention transformer super-resolution method for grape disease recognition. - Haibin Jin; Xiaoquan Chu; Jianfang Qi; Jianying Feng; Weisong Mu (Expert Syst. Appl., 2024)