EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things. - Bin Wu 019; Lihong Zhong; Lina Yao 001; Yangdong Ye (IEEE Internet Things J., 2022)

Efficient complementary graph convolutional network without negative sampling for item recommendation. - Bin Wu 019; Lihong Zhong; Hui Li; Yangdong Ye (Knowl. Based Syst., 2022)

Elite-centered artificial bee colony algorithm with extended solution boundary. - Wentao Niu; Wei She; Lihong Zhong; Yeteng Wang; Zhao Tian; Wei Liu 043 (Appl. Soft Comput., 2023)

Graph-coupled time interval network for sequential recommendation. - Bin Wu 019; Tianren Shi; Lihong Zhong; Yan Zhang 036; Yangdong Ye (Inf. Sci., 2023)

Graph-Augmented Social Translation Model for Next-Item Recommendation. - Bin Wu 019; Lihong Zhong; Yangdong Ye (IEEE Trans. Ind. Informatics, 2023)

Graph gating-mixer for sequential recommendation. - Bin Wu 019; Xun Su; Jing J. Liang; Zhongchuan Sun; Lihong Zhong; Yangdong Ye (Expert Syst. Appl., 2024)