UIS-LDA: a user recommendation based on social connections and interests of users in uni-directional social networks. - Ke Xu 009; Yi Cai 001; Huaqing Min; Xushen Zheng; Haoran Xie 001; Tak-Lam Wong (WI, 2017)

Top-N Trustee Recommendation with Binary User Trust Feedback. - Ke Xu 009; Yi Cai 001; Huaqing Min; Jieyu Chen (DASFAA Workshops, 2018)

Improving Item Ranking by Leveraging Dual Roles Influence. - Ke Xu 009; Yangjun Xu; Huaqing Min; Yi Cai 001 (IEEE Access, 2018)

Leveraging Distrust Relations to Improve Bayesian Personalized Ranking. - Yangjun Xu; Ke Xu 009; Yi Cai 001; Huaqing Min (Inf., 2018)

Improving user recommendation by extracting social topics and interest topics of users in uni-directional social networks. - Ke Xu 009; Xushen Zheng; Yi Cai 001; Huaqing Min; Zhen Gao; Benjin Zhu; Haoran Xie 001; Tak-Lam Wong (Knowl. Based Syst., 2018)

Incorporating Curiosity into Personalized Ranking for Collaborative Filtering (Student Abstract). - Qiqi Ding; Yi Cai 001; Ke Xu 009; Huakui Zhang (AAAI, 2021)

Enhancing Recommender Systems With a Stimulus-Evoked Curiosity Mechanism. - Ke Xu 009; Junwen Mo; Yi Cai 001; Huaqing Min (IEEE Trans. Knowl. Data Eng., 2021)

CrossGCL: Cross-pairwise graph contrastive learning for unbiased recommendation. - Jinxian Ye; Ke Xu 009 (Knowl. Based Syst., 2024)