Social recommendation model combining trust propagation and sequential behaviors. - Zhijun Zhang 002; Hong Liu 013 (Appl. Intell., 2015)

基于标注词相关度的图像自动标注改善方法 (Image Automatic Annotation Based on Correlation of Keywords). - Gongwen Xu; Minghai Liao; Senhong Zheng; Hongluan Zhao; Zhijun Zhang 002; Qian Zhao; Chunxiu Xu (计算机科学, 2015)

Research on E-Commerce Platform-Based Personalized Recommendation Algorithm. - Zhijun Zhang 002; Gongwen Xu; Pengfei Zhang 003 (Appl. Comput. Intell. Soft Comput., 2016)

Personalized Recommendation System Based on WSN. - Zhijun Zhang 002; Gongwen Xu; Pengfei Zhang 003; Yongkang Wang 002 (Int. J. Online Eng., 2016)

Personalized recommendation algorithm for social networks based on comprehensive trust. - Zhijun Zhang 002; Gongwen Xu; Pengfei Zhang 003; Yongkang Wang 002 (Appl. Intell., 2017)

Collaborative filtering recommendation algorithm integrating time windows and rating predictions. - Pengfei Zhang 003; Zhijun Zhang 002; Tian Tian; Yigui Wang (Appl. Intell., 2019)

Semantic Consistency Cross-Modal Retrieval With Semi-Supervised Graph Regularization. - Gongwen Xu; Xiaomei Li; Zhijun Zhang 002 (IEEE Access, 2020)

Neural attention model for recommendation based on factorization machines. - Peng Wen; Weihua Yuan; Qianqian Qin; Sheng Sang; Zhijun Zhang 002 (Appl. Intell., 2021)

Personalized Course Recommendation System Fusing with Knowledge Graph and Collaborative Filtering. - Gongwen Xu; Guangyu Jia; Lin Shi; Zhijun Zhang 002 (Comput. Intell. Neurosci., 2021)

DGNN: Denoising graph neural network for session-based recommendation. - Jiuqian Dai; Weihua Yuan; Chen Bao; Zhijun Zhang 002 (DSAA, 2022)

High-order attentive graph neural network for session-based recommendation. - Sheng Sang; Nan Liu 006; Wenxuan Li; Zhijun Zhang 002; Qianqian Qin; Weihua Yuan (Appl. Intell., 2022)

Position-aware graph neural network for session-based recommendation. - Sheng Sang; Weihua Yuan; Wenxuan Li; Zhaohui Yang; Zhijun Zhang 002; Nan Liu 006 (Knowl. Based Syst., 2023)

DAS-GNN: Denoising autoencoder integrated with self-supervised learning in graph neural network-based recommendations. - Jiuqian Dai; Weihua Yuan; Chen Bao; Zhijun Zhang 002 (Appl. Intell., 2023)