Fair Personalized Recommendation through Improved Matrix Factorization by Neural Networks. - Tao Zeng; Xiaohan Fang; Yue Lang; Jiquan Peng; Xi Wu 009; Shuli Wang; Jibing Gong (ICNCC, 2021)

Multi-label text classification via hierarchical Transformer-CNN. - Junzhe Li; Chenglong Wang; Xiaohan Fang; Kai Yu; Jinye Zhao; Xi Wu 009; Jibing Gong (ICMLC, 2022)

Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. - Xi Wu 009; Liangwei Yang; Jibing Gong; Chao Zhou; Tianyu Lin; Xiaolong Liu; Philip S. Yu (CIKM, 2023)

RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation. - Xi Wu 009; Dan Zhang; Chao Zhou; Liangwei Yang; Tianyu Lin; Jibing Gong (CoRR, 2025)

SimRMKGC: Simple relational contrastive learning on multilingual knowledge graph completion. - Xiaohan Fang; Qian Zang; Jibing Gong; Tao Fang; Yili Xu; Xi Wu 009 (Appl. Intell., 2025)