A Generic Framework for Learning Explicit and Implicit User-Item Couplings in Recommendation. - Quangui Zhang; Li Wang 064; Xiangfu Meng; Keda Xu; Jiayan Hu (IEEE Access, 2019)

Learning coupled latent features via review texts for IOT service recommendation. - Quangui Zhang; Li Wang 064; Keda Xu; Wenpeng Lu; Xinqiang Ma; Yi Huang (Comput. Electr. Eng., 2022)

Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation. - Li Wang 064; Shoujin Wang; Quangui Zhang; Qiang Wu 001; Min Xu 001 (CoRR, 2024)

Federated Prototype-based Contrastive Learning for Privacy-Preserving Cross-domain Recommendation. - Li Wang 064; Quangui Zhang; Lei Sang 001; Qiang Wu 001; Min Xu 001 (CoRR, 2024)

A privacy-preserving framework with multi-modal data for cross-domain recommendation. - Li Wang 064; Lei Sang 001; Quangui Zhang; Qiang Wu 001; Min Xu 001 (Knowl. Based Syst., 2024)

Causal disentanglement for regulating social influence bias in social recommendation. - Li Wang 064; Min Xu 001; Quangui Zhang; Yunxiao Shi; Qiang Wu 001 (Neurocomputing, 2025)