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)

Improving Vision Transformers with Nested Multi-head Attentions. - Jiquan Peng; Chaozhuo Li; Yi Zhao; Yuting Lin; Xiaohan Fang; Jibing Gong (ICME, 2023)

Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning. - Yi Zhao; Chaozhuo Li; Jiquan Peng; Xiaohan Fang; Feiran Huang; Senzhang Wang; Xing Xie 001; Jibing Gong (SIGIR, 2023)

Enhancing Twitter Bot Detection via Multimodal Invariant Representations. - Jibing Gong; Jiquan Peng; Jin Qu; Shuying Du; Kaiyu Wang (CoRR, 2024)

MORE: Toward Improving Author Name Disambiguation in Academic Knowledge Graphs. - Jibing Gong; Xiaohan Fang; Jiquan Peng; Yi Zhao; Jinye Zhao; Chenlong Wang; Yangyang Li; Jingyi Zhang; Steve Drew (Int. J. Mach. Learn. Cybern., 2024)

Beyond entity alignment: Towards complete knowledge graph alignment via entity-relation synergy. - Xiaohan Fang; Chaozhuo Li; Yi Zhao; Qian Zang; Litian Zhang; Jiquan Peng; Xi Zhang 008; Jibing Gong (Expert Syst. Appl., 2025)

Cross-domain recommendation via adaptive bi-directional transfer graph neural networks. - Yi Zhao; Jingxin Ju; Jibing Gong; Jinye Zhao; Mengpan Chen; Le Chen; Xinchao Feng; Jiquan Peng (Knowl. Inf. Syst., 2025)