A Hybrid Model for Forecasting Aquatic Products Short-Term Price Integrated Wavelet Neural Network with Genetic Algorithm. - Tao Hu; Xiaoshuan Zhang; Yunxian Hou; Weisong Mu; Zetian Fu (ICNC (2), 2005)

A Decision Support System (Dss) for Price Risk Management in Vegetable, China. - Xiaomei Guo; Zetian Fu; Weisong Mu; Xiaoshuan Zhang (AIAI, 2005)

Investigation on E-Learning Adoption Intention Among Chinese Undergraduates Via Innovation Adoption Theory. - Zetian Fu; Xiaoshuan Zhang; Weisong Mu; Lingxian Zhang; Yajie Gao (International Conference on Computational Science (3), 2007)

Farmers' Information Usage Intention in China Based on the Technology Acceptance Model. - Jingjing Zhang; Xiaoshuan Zhang; Weisong Mu; Jian Zhang; Zetian Fu (CCTA (3), 2008)

Daily Sales Forecasting for Grapes by Support Vector Machine. - Qian Wen; Weisong Mu; Li Sun; Su Hua; Zhijian Zhou (CCTA (2), 2013)

Technical Efficiency and Traceability Information Transfer: Evidence from Grape Producers of Four Provinces in China. - Lei Deng; Ruimei Wang; Weisong Mu; Jingjie Zhao (CCTA (2), 2015)

A new privacy-preserving proximal support vector machine for classification of vertically partitioned data. - Li Sun; Weisong Mu; Biao Qi; Zhijian Zhou (Int. J. Mach. Learn. Cybern., 2015)

China's Wine Import Industry: An Economic Analysis of Influencing Trade Factors. - Yu Hu; Wei Ma; Ruimei Wang; Huan Song; Weisong Mu; Dong Tian; Jianying Feng (CCTA (2), 2017)

WebGIS-based suitability evaluation system for Chinese table grape production. - Weisong Mu; Gong Shaoqi; Stevan Stankovski; Zhang Xuejie; Radoslava Kanianska; Jianying Feng (Comput. Electron. Agric., 2019)

A Nonlinear ∨-Twin Support Tensor Machine. - Huiru Wang; Weisong Mu; Zhijian Zhou (J. Inf. Hiding Multim. Signal Process., 2019)

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)

Evaluation on risks of sustainable supply chain based on optimized BP neural networks in fresh grape industry. - Jianying Feng; Yuan Bianyu; Li Xin; Dong Tian; Weisong Mu (Comput. Electron. Agric., 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)

GrapeGAN: Unsupervised image enhancement for improved grape leaf disease recognition. - Haibin Jin; Yue Li; 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; 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)

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

Local Reversible Transformer for semantic segmentation of grape leaf diseases. - Xinxin Zhang; Fei Li 022; Haibin Jin; Weisong Mu (Appl. Soft Comput., 2023)

Modeling of farmers' production performance portrait based on GASA-WFCM clustering. - Bo Wang; Yan Shi; Weisong Mu; Jianying Feng (Comput. Electron. Agric., 2023)

CRFormer: Cross-Resolution Transformer for segmentation of grape leaf diseases with context mining. - XinXin Zhang; Chaojun Cen; Fei Li 022; Meng Liu; Weisong Mu (Expert Syst. Appl., 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; Haibin Jin; Jianying Feng; Dong Tian; Weisong Mu (Int. J. Mach. Learn. Cybern., 2023)

GMamba: State space model with convolution for Grape leaf disease segmentation. - Xinxin Zhang; Weisong Mu (Comput. Electron. Agric., 2024)

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

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)

UPFormer: U-sharped Perception lightweight Transformer for segmentation of field grape leaf diseases. - Xinxin Zhang; Fei Li 022; Haiying Zheng 001; Weisong Mu (Expert Syst. Appl., 2024)

KAT: knowledge-aware attentive recommendation model integrating two-terminal neighbor features. - Tianqi Liu; Xinxin Zhang; Wenzheng Wang; Weisong Mu (Int. J. Mach. Learn. Cybern., 2024)

Reformer: Re-parameterized kernel lightweight transformer for grape disease segmentation. - Xinxin Zhang; Zibo Feng; Weisong Mu (Expert Syst. Appl., 2025)

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